StoryStory is a purpose-built Layer 1 (L1) blockchain, co-founded by a serial entrepreneur with a $440M acquisition by Kakao and DeepMind’s youngest-ever PM, aimed at solving structural failures in the IP economy, especially in the era of generative AI.
Story positions intellectual property (IP) as blockchain’s missing product-market fit by reimagining IP as a programmable asset, facilitating transparent attribution, automated licensing, and royalty settlement.
Story’s L1 blockchain is optimized specifically for IP management, employing its Proof-of-Creativity (PoC) protocol, PIL (Programmable IP License), and C2PA integrations, ensuring both on-chain efficiency and legal enforceability off-chain.
Story ecosystem is expanding rapidly across consumer applications, AI integrations, and IPFi, with real-world use cases emerging through projects such as Aria Protocol tokenizing music royalties (BTS, BLACKPINK, Selena Gomez, etc.) and establishing tangible market validation.
Story is laying foundational infrastructure for the autonomous agent economy through Agent TCP/IP and MCP (Model Context Protocol) integration, enabling AI agents to independently generate, license, and monetize IP, thus pioneering a new era of decentralized, autonomous, and collaborative economic activity.
In a time when technology and media seems to be advancing at the speed of thought, two visionaries found their paths crossing, setting the stage for a bold new venture. Seung Yoon Lee, a relentless innovator with a mission to redefine the content industry, and Jason Zhao, a brilliant young mind immersed in the world of AI, were united by a shared vision. Together, they would bring Story to life, driven by one powerful goal: to revolutionize how intellectual property (IP) is created, shared, and used in the digital era.
Lee’s journey began in the UK, where his academic path at Oxford in Politics, Philosophy, and Economics laid the groundwork for a lifelong fascination with the intersection of technology and media. His first venture, Byline, aimed to revive journalism’s struggling revenue model with a crowdfunding approach. Though Byline didn’t achieve commercial success, it honed Lee’s understanding of the challenges in sustainable content creation.
Recognizing the rapid shift to mobile, Lee launched Radish, a platform bringing bite-sized fiction to readers on their smartphones. The concept resonated, and in 2020, Kakao acquired Radish for $440 million. Yet even this success left Lee with a lingering dissatisfaction. “One of the kind of chief reasons I ended up selling that company was that realizing the fact that I'm just kind of one of one of many small fish in that content ecosystem” he reflected.
Lee refocused, now determined to address the deeper, systemic issues facing the content industry. His vision was clear: a world where creators are fairly rewarded, and their IP is both protected and adaptable. This vision became the foundation of Story, a platform to empower creators and reshape the future of IP.
Image: S.Y. Lee (Left), Jason Zhao (Right)
Jason Zhao’s journey, meanwhile, started with his deep involvement in AI research at Stanford. By age 22, he was DeepMind’s youngest product manager, passionately focused on translating AI research into real-world applications. But by 2020, Zhao’s attention shifted to the vast potential of blockchain. What captivated him was the decentralized nature of this new technology, where ideas could take shape freely, and people everywhere could share and build upon each other’s work. “In AI, you need economies of compute, of data and of capital to do research. So only I at DeepMind or someone at OpenAI could do that. Whereas in blockchain, you have people all around the world publishing these white papers, and then within months they would implement them in smart contracts, and then months later there would be millions of dollars being transacted.”
Enthralled by this freedom, Jason decided to leave DeepMind and soon crossed paths with Lee. At the time, Lee was deeply driven to address fundamental issues in content and IP, and Jason brought the technical insight to make it possible. Their visions clicked, and before long, their collaboration began to take form.
Jason shared a whitepaper with Lee, outlining a bold concept: to make IP programmable through blockchain. In this vision, Story would become an ecosystem where content was not merely consumed but where creators held full control over their rights and enjoyed the freedom to share and adapt their work. This system would treat each creation like a digital Lego block, able to combine and reshape with others to build something entirely new on existing foundations.
“It's really about the next era of creativity” Zhao explained. “We really do think that building this infrastructure will lead to a renaissance where instead of having the same movie, four Avengers movies, five Spider-Man movies, seven Harry Potters and many more sequels, what we want is a future where culture is more vibrant, more bottom up, and more owned by the creators and their communities.”
Backed by a16z from the very beginning, the duo secured $140 million across three funding rounds, gaining the resources to build both a team and the foundation for Story. Their dream was finally taking shape. With Lee’s deep content expertise and Zhao’s technical foresight, they set out to fundamentally redefine the future of IP and creative work. Story’s journey is not just about success; it is a testament to passion, determination, and the relentless pursuit of a new creative era.
To understand Story’s purpose, one must first grasp the problem this protocol is built to solve. At its core, Story was designed to protect creators’ work while enabling it to be freely used, remixed, and built upon. This mission revolves around two fundamental issues undermining the current IP industry.
1.2.1 The Blurring Lines Between Truth, Fabrication, and Ownership in the AI Era
For decades, the internet has operated on an implicit economic covenant between creators and platforms. Creators provide supply, platforms provide demand and generate revenue through traffic, and a portion of that revenue is returned to the creators. This symbiotic relationship has underpinned major platforms like YouTube, Instagram, and X, sustaining an ecosystem built on mutual benefit.
For decades, the internet economy thrived on a symbiotic relationship between creators and platforms. Creators supplied content, while platforms monetized traffic and shared a portion of the revenue. This system, which underpinned platforms like YouTube, Instagram, and X, maintained a delicate balance.
The rise of generative AI is rapidly eroding this equilibrium. Unlike traditional search engines that merely link to original content, LLMs ingest vast datasets, repackaging information as direct responses or entirely new outputs, often without attribution or compensation. AI models rely on human-created content as training data, yet creators rarely receive proper credit or financial return.
This issue is already manifesting in the real world. On August 19, 2024, authors Andrea Batts, Charles Graeber, and Kirk Wallace Johnson filed a copyright infringement lawsuit against AI company Anthropic. Their claim was that Anthropic had illegally downloaded copyrighted books to train its AI model, Claude. Similarly, writers like Michael Chabon and Sarah Silverman brought cases against OpenAI and Meta in mid-2024, citing unauthorized use of their work. Even visual artists have filed lawsuits against companies for using their work in training data without permission, with such cases expected to increase as AI technology advances. These lawsuits are not isolated events. They mark the beginning of an escalating trend.
Creators share their work with the hope of recognition and rewards, both economic and social. Yet, when AI models repurpose content without attribution or compensation, creators’ motivations can wane. This unrewarded effort creates a disheartening reality: a digital landscape where creative energy risks going unrecognized and unrewarded. Over time, this undermines the entire creative ecosystem, as the drive to produce new content diminishes.
But creators’ rights aren’t the only issue at stake. AI also threatens information reliability. As AI models absorb vast amounts of human-produced data, they mix truths with falsehoods. Consequently, AI-generated content often blurs reality and fabrication, making it increasingly difficult for users to discern truth from falsehood. This issue has already led to an explosion of AI-driven misinformation campaigns.
Source: NBC News
1.2.2 An Outdated Legal Framework That Stifles Innovation and Collaboration
Unlike physical property, IP is inherently intangible, making it difficult to define ownership, establish usage rights, and enforce agreements. Licensing IP requires costly legal processes, creating a barrier to entry for independent creators (as illustrated below). Only major franchises and creators backed by large agencies can afford proper legal protection. When companies license characters for external use, contracts can span dozens to hundreds of pages, taking months or even years to finalize.
Source: Cislo & Thomas LLP Intellectual Property Law Services
The legal framework governing IP remains rooted in an era before the internet, let alone generative AI. Foundational treaties such as the Berne Convention (1886), the WIPO Copyright Treaty (1996), and the TRIPS Agreement (1994) were designed to protect finished works, not programmable or AI-native creativity.
One of the clearest examples of this mismatch is the idea-expression dichotomy, a long-standing principle in copyright law that distinguishes protected “expression” (the final sentence, image, or song) from unprotected “ideas” like tone, structure, or creative style. This distinction made sense in a pre-AI world, where imitating someone’s creative grammar without copying their work was difficult. But generative AI changed that. Machines can now replicate an artist’s voice, rhythm, or storytelling structure with uncanny precision, without infringing a single line of expression.
Legally, that’s not considered theft. But economically and culturally, creators lose real value. Their style gets replicated. Their influence gets extracted. And current law offers them no recourse.
This gap reveals a deeper truth: copyright law was never designed to protect creators for their own sake. As copyright lawyer Pilsung Kim states, “It exists to impose artificial scarcity on infinitely replicable works, to incentivize creation for the public good.” But AI flips the script. It turns what used to be “free inspiration” into extractable IP, leaving creators exposed and uncredited.
Updating copyright law to close this gap sounds tempting, but in practice, it’s nearly impossible. The idea-expression boundary is enshrined in doctrine, precedent, and international treaties. Reform would mean rewriting the foundations of modern IP. And by the time that happens, the AI flood will already have passed.
In short: policy is moving at human speed; technology is moving at machine speed.
At the same time, even enforcement of existing IP laws is breaking down. The Berne Convention grants automatic copyright protection without requiring registration. However, in the age of instant global content distribution, enforcement remains a major challenge. A single image uploaded online can be replicated worldwide within seconds, yet copyright enforcement varies significantly across jurisdictions. The EU maintains strict copyright protections, while some countries have far more lenient standards. The TRIPS Agreement, which mandates minimum copyright protections for WTO members, similarly fails to address these gaps.
In the United States, the DMCA (1998) introduced the Notice-and-Takedown process to facilitate swift content removal. But its Safe Harbor clause also shields platforms from liability as long as they respond to takedown notices. This absolves YouTube, Google, and others from preemptively monitoring content, leaving creators with the burden of detecting and reporting violations, often after the damage is done.
Source: Excerpt of The Digital Millennium Copyright Act (1998)
The intellectual property industry faces four fundamental challenges. First, there is no transparent, universally accessible system for tracking ownership and attribution. Second, creators lack real-time visibility into how their work is used. Third, licensing remains a costly, inefficient process; LLMs and other creators have no seamless way to use IP while ensuring automated, fair compensation. Finally, global legal frameworks have failed to adapt, offering weak enforcement against unauthorized use in the AI era.
Blockchain does not solve these issues outright, but it redefines the foundation of the IP economy. As a decentralized, cryptographically verifiable ledger, it enforces ownership transparently, enables real-time provenance tracking, and automates fair licensing on-chain through smart contracts. This eliminates the inefficiencies of manual legal agreements, turning IP into a programmable asset class.
Story builds on this principle, transforming IP from a rigid, static asset into a liquid, composable resource. By registering creative works on-chain, Story ensures seamless integration across applications while preserving provenance and automating royalty flows. This shift unlocks a new economic layer for IP, where derivative works and creative collaboration flourish without friction.
The goal is clear: to construct an IP Legoland. A world where ideas are not just protected but freely built upon, traded, and expanded. Story’s co-founders saw blockchain’s first true PMF not in finance, but in IP; the missing infrastructure that allows creativity to scale.
Story’s technology stack is composed of three key components: 1) the L1 blockchain, 2) the PoC (Proof-of-Creativity) protocol, and 3) PIL (Programmable IP License). These components are designed to work in concert, forming the foundational infrastructure for Story’s vision of a programmable IP network.
Story’s L1 blockchain serves as the technical foundation of the IP Legoland, ensuring that all IP assets can be securely stored, exchanged, and composed. Unlike general-purpose blockchains, Story is optimized for IP graph traversal, registration, and computation, enabling seamless interactions between intellectual property assets.
2.1.1 Why Story Built Its Own L1
Story didn’t set out to build a L1. Initially, the project began as a smart contract-based protocol deployed on an existing blockchain. However, as the team sought to make IP fully programmable on-chain, the limitations of this approach became clear. Experimentation with L2 solutions followed, as the team explored ways to maximize the composability of IP assets in a multi-chain environment. Yet, structural constraints prevented L2 networks from providing the level of optimization Story required.
After more than two years of iteration and testing, it became evident that neither existing L1s nor L2s could fully support the demands of an IP-centric blockchain. The reasoning behind this decision can be summarized into four key factors:
First, as mentioned above, Story is not just another blockchain; it is an execution environment built for IP assets. Unlike general-purpose chains, Story’s L1 is optimized for IP graph traversal and computation, ensuring fast and efficient data processing across a network-wide IP repository.
Second, existing L2 rollups posed a centralization risk. Most rely on a single sequencer, creating a single point of failure that contradicts decentralization. Relying on an external Layer 2 infrastructure would not only compromise network security but also weaken the economic incentives that align stakeholders within the ecosystem. By owning its own consensus layer, Story ensures a decentralized validation model that preserves long-term network integrity.
Third, integrating major IP franchises (Disney, Nintendo, etc.) is a strategic priority. The best way to do this is by onboarding them as validators, ensuring that they hold a direct stake in the network’s governance and economic flows. This approach fosters institutional buy-in and aligns incentives between blockchain infrastructure providers and traditional IP stakeholders. Such a model would be far more difficult to implement within a centralized rollup, where validator participation is constrained.
Finally, Story envisions future rollups built on its L1, similar to Initia’s Minitia framework. Using the OPinit Stack, Minitia enables VM-agnostic optimistic rollups with customizable execution environments. Story aims to provide a similar structure, ensuring that IP-focused applications can operate in highly optimized, adaptable environments, something that would be nearly impossible if Story had started as an L2.
2.1.2 Consensus Layer
Story’s consensus layer is built on CometBFT (formerly Tendermint), offering fast finality and Byzantine Fault Tolerance (BFT) for network stability. By leveraging the Cosmos SDK, a modular framework for blockchain development, Story extends its capabilities with customized modules optimized for IP graph traversal and on-chain data management.
Operating on a Proof-of-Stake (PoS) model, Story’s validators secure the network and are economically incentivized to maintain its integrity. Malicious or negligent behavior results in slashing penalties, ensuring adherence to protocol rules. CometBFT provides resilience, allowing the network to remain secure even if up to 33% of validators act maliciously. Blocks continue to be finalized as long as 67% of validators function correctly.
CometBFT’s design, however, introduces scalability trade-offs—as validator count increases, message complexity grows quadratically, which can impact performance. However, Story’s priority is not solving the Blockchain Trilemma but optimizing for IP graph computation and data processing. Instead of focusing on transaction throughput, Story enhances storage efficiency and validator functionalities to improve IP data operations.
To ensure scalability without disrupting execution, Story employs Application Blockchain Interface (ABCI++), decoupling execution from consensus. This allows new execution-layer functionalities to be introduced without modifying the consensus layer. Additionally, Ethereum Engine API support facilitates seamless communication between Story’s EVM-based execution layer and its CometBFT consensus mechanism.
2.1.3 Execution Layer
Story’s execution layer is a Geth fork, ensuring full EVM compatibility for Ethereum developers. Solidity-based smart contracts and developer tools such as Foundry, Hardhat, and Remix can be used without modification. The layer adheres to Ethereum’s JSON-RPC standards, maintaining seamless interoperability with the broader Ethereum ecosystem.
However, Story departs from traditional single-threaded execution models by adopting a multi-core architecture. The Main Core processes transactions by default, but when specialized computations are required, Specialized Cores dynamically activate, optimizing execution based on specific workloads such as scalability, speed, security, or privacy.
For IP-intensive computations, Story introduces the IP Core, featuring two key optimizations:
IPGraph Precompile: Optimizes on-chain traversal of the IP Graph, Story’s foundational data structure. Since IP assets form complex, interlinked trees, executing these graph operations directly on EVM would be inefficient. The precompile enables faster, cost-efficient graph queries, reducing computational overhead.
RIP-7212 Precompile: Enhances EVM efficiency by reducing gas costs associated with IP-related smart contract operations.
Running a Story node requires robust hardware. The recommended specs include a high-speed CPU (4+ cores), 16GB RAM, 1TB SSD storage, and a 25MBit/sec internet connection.
2.1.4 Storage Layer
Sitting atop the consensus layer, Story’s storage layer provides storage APIs to execution cores, abstracting data management and cryptographic commitments. Unlike traditional blockchain storage models, Story employs storage tiering, dynamically optimizing data placement based on access frequency and durability requirements.
Inspired by the Flash Translation Layer (FTL) in NAND storage, Story’s architecture maps logical addresses to physical storage blocks, balancing performance, scalability, cost, proof size, and redundancy. This ensures efficient handling of diverse data types while maintaining network resilience.
A key innovation is seamless integration of on-chain and off-chain storage. Traditional blockchains rely on off-chain storage (e.g., IPFS, Arweave) for large datasets, while only storing metadata on-chain, introducing fragmentation issues. Story bridges this gap, enabling cohesive management of on-chain and off-chain data.
For example, when an AI model is registered as an IP asset, its associated C2PA metadata (proving content authenticity) is stored alongside the model file, allowing direct inference execution when needed. This ensures integrity, accessibility, and provenance tracking across digital assets.
The PoC protocol is a suite of smart contracts that allows anyone to on-ramp and interact with their IP assets on Story’s L1 blockchain. Through the PoC protocol, creators can bring their IP on-chain as digital assets and interact with various modules to perform different functions. The protocol is structured around four core smart contract components: IP Asset, IP Account, Modules, and the Registry.
2.2.1 IP Asset
An IP Asset refers to both the ERC-721 NFT and the IP Account that represent specific IP on-chain. It is the fundamental unit of IP management in the Story ecosystem. If the IP being registered exists off-chain, it must first be tokenized as an ERC-721 NFT, then linked to an IP Account, and finally registered in the protocol’s IP Asset Registry. Existing NFTs (e.g., Pudgy Penguins) can be onboarded without requiring additional wrapping or modifications.
Once registered, an IP Asset is officially recognized within Story’s ecosystem, and a corresponding IP Account is automatically deployed and linked. While the IP Asset itself is a static NFT, its associated IP Account functions as a smart contract account, enabling licensing, royalty distribution, and dispute resolution. The IP Asset metadata standard can be found here.
2.2.2 IP Account
The IP Account is an ERC-6551 smart contract that serves as the token-bound account for the IP Asset. This contract extends the functionality of NFTs beyond static ownership, enabling them to to perform various tasks and supports two main functions:
execute() and executeWithSig() functions: The execute() function allows the IP Account to call various supported modules on Story to perform specific tasks. The executeWithSig() function improves the user experience by allowing others to execute a transaction on behalf of the user via a signature, so the user does not need to directly initiate the transaction.
Unique ID: Each IP Account has a unique ID, deterministically generated based on the NFT address, token ID, and other information in accordance with the ERC-6551 specification. This ID serves as the IP Account’s address, enabling consistent management of all data and transactions linked to the IP Asset. The ID is referenced whenever the account interacts with different modules.
2.2.3 Module
Modules are smart contracts that interact with IP Accounts to modify data or facilitate key operations such as licensing, royalty distribution, and dispute resolution. Story provides built-in modules for these functions, while developers can customize or create additional modules as needed.
Licensing Module: The Licensing Module governs the terms under which IP Assets can be licensed, enabling derivative content creation, royalty management, and commercial utilization. The module is structured as follows:
License Template: Defines the fundamental framework of a license, specifying terms such as commercial use permissions, allowances for derivative works, and royalty rates. These templates are implemented as code and applied to IP Assets.
License Terms: Specific conditions derived from a License Template and applied to an IP Asset. Once set, these terms are immutable and are represented in the form of a License Token.
License Token: An ERC-721-based NFT that encapsulates a set of licensing conditions. Holding a License Token grants the holder rights to create derivative works or commercially utilize the associated IP Asset.
Hooks: Hooks are smart contract interfaces that validate whether predefined conditions are met. They typically include functions such as verify() (to check if conditions are satisfied), validateConfig() (to confirm the correctness of a configuration), and supportsInterface() (to determine module compatibility).
Royalty Module: The Royalty Module manages the revenue flow between IP Assets, ensuring that royalties are automatically distributed to parent IPs when derivative content is monetized. The module consists of the following components:
Royalty Policy: Determines how royalties are distributed across different IP Assets. Story Protocol offers multiple royalty models:
Liquid Absolute Percentage (LAP): A hierarchical royalty-sharing structure where all revenues generated by derivative IPs are automatically allocated to the parent IP based on a fixed percentage. For example, if IP A → B → C forms a derivative chain, and IP A has set a 5% royalty rate, both B and C will contribute 5% of their revenue to A. LAP enforces a cumulative model where upper-tier IPs continue receiving revenue across all subsequent derivatives.
Liquid Relative Percentage (LRP): A relative royalty-sharing model where direct derivative IPs share revenue with their immediate parent, rather than the entire hierarchy. For instance, if B pays A a 5% royalty and C pays B a 10% royalty, A receives 0.5% (10% * 5%) of C’s revenue.
External Royalty Policies: Developers and platforms can define their own customized royalty structures using external smart contracts. This allows tailored models such as discounted royalties for IPs promoted through specific platforms.
IP Royalty Vault: A dedicated vault where all royalty payments are stored. Holders of Royalty Tokens can claim earnings accumulated in these vaults.
Royalty Token: An ERC-20 token representing a claim to an IP Asset’s revenue stream. Holders receive payouts proportional to their token holdings. When a derivative IP generates revenue, a Snapshot function is triggered to capture token ownership at a specific point in time, ensuring precise royalty distribution. These tokens can be freely traded, potentially establishing a secondary market for IP revenue streams.
Grouping Module: The Grouping Module enables multiple IP Assets to be managed as a collective entity. Grouped IP Assets share unified licensing terms and contribute to a common royalty pool.
Group IP Asset Creation: A group representative ERC-721 NFT must be issued and registered to generate a Group IP Account. The registration process mirrors that of individual IP Assets.
Group IP Account: Functions similarly to standard IP Accounts but incorporates additional governance controls, allowing members to be added or removed while overseeing revenue distribution among group members.
Dispute Module: This module is designed to resolve copyright and licensing disputes between IP assets. It includes arbitration policies, a tag system, and functions for issuing and resolving disputes. The key components are:
Arbitration Policy and Raise Dispute: When a dispute arises, users can invoke the raiseDispute function to file a dispute over an IP Asset, selecting a tag and submitting relevant evidence. A fee is paid according to the arbitration policy, and a final ruling is issued using the setDisputeJudgement function. Initially, the Story Foundation will handle arbitration, but third-party arbitration services will be introduced later.
Set Dispute Judgement and Tag System: If an IP Asset is tagged for infringement, all associated licenses are invalidated, and the asset is disconnected from its parent IP. Tags like “PLAGIARISM” can be assigned, restricting the asset’s commercial activities within the protocol.
Resolve Dispute and Tag Removal: Once a dispute is resolved, the tag can be lifted through the resolveDispute function, which also removes the tag from any derivative assets. In cases where a dispute was wrongly filed, it can be canceled using the cancelDispute function, though fees may not be refunded.
A key concern in decentralized arbitration is the legitimacy of rulings. Jason Zhao, Story Protocol’s co-founder, has proposed a “Marketplace of Trust” approach to address this issue. Every IP registered within Story Protocol must predefine its arbitration policy, which can range from on-chain smart contract enforcement to off-chain oracle-based adjudication, or a mixture of multiple options. By allowing creators and users to select their preferred arbitration mechanisms, Story Protocol aims to foster a free-market approach where ineffective or unreliable policies naturally phase out. Currently the only supported arbitration policy is the UMA Arbitration Policy.
2.2.4 Registry
The registry acts as a central repository that manages the global state of the blockchain. It ensures that necessary data is provided when IP Accounts interact with specific modules and updates information whenever new IPs or licenses are registered. The registry is composed of three main parts: the IP Asset Registry, License Registry, and Module Registry, each serving distinct functions.
IP Asset Registry: This registry records and manages IPs registered on Story. It tracks the state of all IP Assets, including ownership, metadata, and licensing status. When an IP is onboarded to the protocol, it is registered here to ensure its legitimacy and traceability within the ecosystem. The IP Asset Registry serves as the primary source of truth for all IP-related data within the protocol. The code for the IP Asset Registry can be found here.
Group IP Asset Registry: This registry manages grouped IP Assets, allowing multiple IPs to be organized under a shared IP Account for collective governance and revenue sharing. The Group IP Asset Registry tracks all group members and their associated revenue distribution structures. It can be reviewed here.
License Registry: The License Registry stores and manages all licensing-related data, including parent-child IP relationships and the licensing tokens assigned to each IP Asset. When an IP Asset receives a specific license, the registry records this information. Additionally, when derivative IPs are created, the License Registry facilitates royalty distribution and license validation. The License Registry can be reviewed here.
Module Registry: This registry oversees the various modules and hooks used within the Story protocol. It controls which modules are authorized for use and records their interactions with IP Accounts. Developers can use the Module Registry to register custom modules and integrate them with other IP Accounts to implement new features. The Module Registry can be viewed here.
2.2.5 Access Controller
The Access Controller enforces permission management across Story Protocol, ensuring that only authorized entities can interact with IP Accounts, modules, and registries. At its core, it maintains a Permission Table that dictates access rules, specifying which signers (callers) can invoke specific functions on designated modules on behalf of an IP Account.
Permissions follow a structured hierarchy: they can be explicitly allowed, denied, or abstained, with abstention deferring the decision to higher-level permissions. To streamline access control, Story Protocol supports wildcards, allowing users to define permissions that apply to multiple modules or functions simultaneously. This enables efficient whitelisting and blacklisting, enhancing modular security.
Access control is enforced through three primary call flows: (1) IP Accounts invoking modules, (2) modules interacting with other modules, and (3) modules accessing registries. Each layer conducts independent permission checks, ensuring that transactions adhere to predefined security rules. The Access Controller also governs permission revocation, automatically rescinding access rights when an IP Account transfers ownership, preventing unauthorized control after asset transfers.
As digital content circulates widely and IP utilization diversifies, traditional licensing frameworks have become restrictive for both creators and users. Conventional media industries rely on licenses such as Creative Commons, but these often require lengthy, complex contracts for every use case. For instance, licensing Mickey Mouse on a different platform could necessitate dozens to hundreds of contractual agreements with Disney, a process that may take months or even years. Only major IP franchises or well-established creators have the resources to navigate such agreements.
PIL was designed to streamline the licensing process by encoding contractual terms directly on-chain. By establishing clear, enforceable conditions governing IP usage, PIL ensures both legal protection and compliance for all parties involved. Once set, the terms of a PIL are automatically executed via smart contracts, removing ambiguity and reducing administrative overhead. The legal framework of PIL v1.3 is available here.
Source: Programmable IP License V1.3
Story provides predefined PIL templates that allow creators to easily configure licensing terms such as commercial usage rights, derivative creation conditions, and royalty distributions. These templates can be customized to fit specific needs. To ensure enforceability beyond on-chain applications, Story has collaborated with legal experts to align PIL with international IP standards. The goal is to make licensing as frictionless as SAFE (Simple Agreement for Future Equity) contracts—widely used in startup fundraising to simplify complex investment terms.
PIL’s structure is divided into on-chain and off-chain parameters. On-chain parameters define key licensing conditions, ensuring that the commercial use of IP assets is managed programmatically. These include conditions such as the transferability of the license (transferable), royalty policy (royaltyPolicy), minting fees (mintingFee), commercial use permissions (commercialUse), and attribution requirements (commercialAttribution). These parameters are automatically enforced by smart contracts.
Off-chain parameters, on the other hand, define specific conditions related to the real-world usage of IP. These include the geographic regions in which the IP can be used (territory), distribution channels (channels of distribution), content standards (content standards), and the governing law for the license (governing law). These parameters are stored in the license’s URI field and referenced as needed.
Story has pre-configured various flavors of PIL by combining the aforementioned functions to cater to different use cases. Notable examples include licenses for Non-Commercial Social Remixing, Commercial Use, Creative Commons Attribution, and Commercial Remix.
Source: Commercial Use PIL Term On-Chain Values
While Story shares similarities with Ethereum and Solana as a Turing-complete blockchain, its fundamental approach differs from general-purpose blockchains. Instead of aiming to be a one-size-fits-all solution, Story began with a precise focus: identifying specific issues in a particular industry and then applying blockchain technology to solve them. Jason Zhao, CEO of Story Protocol, defines this category as a Purpose-Built Blockchain.
Purpose-built blockchains and general-purpose blockchains exhibit significant differences in target market, strategic focus, and overarching objectives, leading to distinct advantages and trade-offs. General-purpose blockchains prioritize flexibility, aiming to support a wide range of use cases without being confined to a specific industry. In contrast, purpose-built blockchains optimize infrastructure and performance for a well-defined problem, similar to how industries become more specialized and segmented as they mature.
The demand for purpose-built blockchains is analogous to seeking a specialist doctor for a specific condition rather than relying on a general physician. Specialists offer deep expertise and tailor-made solutions, ensuring more effective outcomes. Similarly, purpose-built blockchains allocate resources exclusively to the problem they are designed to solve, offering superior efficiency and performance. In Story’s case, its infrastructure layer integrates validator node storage, an IP graph computation engine, precompiled primitives, and core business logic such as the PoC Protocol, all tailored for the IP industry.
One potential drawback of a purpose-built blockchain is its Total Addressable Market (TAM). Since it focuses on a specific industry rather than a broad user base, the economic activity within the network is inherently constrained to that domain. This is why purpose-built blockchains often struggle to establish a universally compelling narrative, unlike Bitcoin’s “store of value” or Ethereum’s “world computer” positioning.
Fortunately, Story is positioned within a multi-trillion-dollar IP market that spans media, entertainment, gaming, fashion, and the arts. According to a report by the USPTO, IP-related industries employed 63 million people—44% of the total U.S. workforce—and contributed $7.8 trillion to the U.S. GDP as of 2019.
IP sits at the core of human culture and creativity, commanding significant attention and engagement over time. Unlike financial applications, which most people engage with for mere minutes per day, entertainment platforms such as Netflix and TikTok dominate daily screen time. In 2024, an analysis of mobile app usage by category revealed that social media and entertainment apps accounted for 35% and 33% of total screen time, respectively, while financial applications captured a mere 1%. This underscores the deep integration of IP-driven content into everyday life, highlighting the vast market potential for Story. It is precisely this reality that makes Story a compelling force in the mainstream adoption of crypto.
For Story’s vision to be successfully realized, simply launching a new L1 blockchain is not enough. While Story’s logic is theoretically sound, translating that theory into real-world implementation presents a different level of challenge. To establish itself in the real world, Story must deeply understand and adapt to existing regulatory frameworks and market structures, persuading key stakeholders in the IP industry and securing their cooperation.
From this perspective, technological implementation is merely the first step. The critical challenges that Story will face moving forward extend beyond technical hurdles to legal, economic, and societal issues. Ultimately, the long-term success of Story will depend on how effectively it navigates these challenges.
Fortunately, Story has already made notable strides in this regard. This chapter examines the protocol’s key achievements, potential use cases, and future challenges that need to be addressed.
Story has reached a critical juncture where it is turning the concept of IPfi into reality. Notably, with Aria Protocol onboarding major music IPs from global artists such as BLACKPINK and BTS onto Story, the possibility of fractionalized, on-chain music copyright trading is now being actively tested. This is not just a proof of concept but a potential paradigm shift in how music IP ownership and revenue distribution are structured on blockchain.
Source: Aria Protocol
However, merely securing music IPs and tokenizing royalties is insufficient. The real challenge lies in accurately tracking off-chain royalty revenue and transparently reflecting it in on-chain assets. Below, we analyze the key stages of music IP tokenization and the fundamental issues that must be resolved.
4.1.1 Securing Music Royalties
Tokenizing music royalties begins with securing the copyright. In the music industry, copyright is divided into Master Rights and Publishing Rights, each associated with distinct revenue streams.
Master Rights: Governs the recorded sound of a track, typically owned by major labels such as Universal Music Group, Sony Music, and HYBE.
Publishing Rights: Covers composition elements like melody, lyrics, and arrangement, usually held by songwriters and publishers.
Since these two rights involve different licensing and revenue distribution mechanisms, understanding the scope of Aria Protocol’s acquired rights is crucial. However, specific details regarding whether Aria has secured Master Rights, Publishing Rights, or both have not been disclosed, introducing uncertainty in evaluating the project’s long-term revenue sustainability.
Potential methods through which Aria Protocol may have secured copyrights include:
Direct licensing agreements with record labels and publishers.
Acquisition through secondary markets like Hipgnosis and Royalty Exchange.
Partnerships with copyright brokerage platforms such as JKBX and SongVest.
Yet, mere acquisition is not enough. Establishing a sustainable revenue model on-chain based on these rights is the core challenge.
4.1.2 Royalty Revenue Tracking and Settlement
Once copyright is secured, the next step is accurately tracking and collecting music royalties. The structure of royalty payments in the music industry is complex, involving multiple intermediaries. The key revenue sources and their managing entities include:
Streaming Royalties: Paid by platforms like Spotify, Apple Music, and YouTube to labels and publishers.
Mechanical Royalties: Derived from digital downloads and physical sales (CDs, LPs) and managed by entities such as The MLC (US) and MCPS (UK).
Performance Royalties: Generated from radio, TV, and live performances, collected by ASCAP, BMI, PRS, and other PROs (Performing Rights Organizations).
Sync Licensing: Paid when music is used in films, commercials, or games, negotiated on a case-by-case basis.
Neighboring Rights: International public plays, collected by companies like Soundexchange and PPL(Phonographic Performance Limited).
Since royalty collection is highly fragmented, ensuring that Aria Protocol’s acquired copyrights align with accurate revenue collection requires several measures:
Registering rights with major collection agencies (e.g., ASCAP, BMI, The MLC, SoundExchange).
Direct royalty settlement agreements with labels and publishers.
Utilization of third-party royalty tracking services (e.g., Audiam, Stem, Songtrust).
Given the longstanding issues of underreported and misallocated royalties in the music industry, an auditable, transparent revenue tracking system is indispensable. Aria Protocol must establish independent verification procedures and regularly publish revenue reports to ensure credibility.
4.1.3 On-Chain Representation of Off-Chain Royalties
Once royalties are collected, the next step is converting off-chain revenue into on-chain assets. This involves leveraging stablecoin payment processors to transform fiat-based royalties into on-chain equivalents.
Initially, collected royalties are converted to $USDC or $USDT via payment processors like Circle or Fireblocks. The converted stablecoins are then deposited into Story Protocol’s smart contracts, triggering the issuance of $RWIP tokens, which represent fractional ownership of the revenue flow. These tokens can be traded or held by investors to generate income.
The primary challenge is ensuring that on-chain deposits accurately reflect off-chain royalties. Any discrepancy in reporting could distort the valuation of $RWIP. Therefore, independent audits and transparent on-chain tracking mechanisms are necessary.
Additionally, the frequency and predictability of royalty settlements must be ensured. Inconsistent revenue flows could lead to liquidity risks, impacting market confidence in $RWIP.
4.1.4 Liquidity Bootstrapping
For $RWIP to gain adoption and maintain stability, liquidity is critical. To address this, Aria Protocol is leveraging StakeStone LiquidityPad, through which it has raised $10.95 million to date (Source).
Through StakeStone, users can deposit $USDC or $USDT, which is locked for approximately three months before being converted into $RWIP. The issued tokens can then be traded on DEXs, staked, or used as collateral in lending markets.
4.1.5 Revenue Distribution and On-Chain Settlement
Once $RWIP is issued, Aria Protocol plans to implement a structured royalty distribution system for token holders. The projected annual yield is estimated at 6–7%, derived from multiple revenue streams, including streaming royalties, licensing fees, and performance royalties. To facilitate this, Aria Protocol will periodically convert off-chain royalty earnings into stablecoins and distribute them on-chain.
However, for this model to be sustainable, several key elements must be ensured:
Transparent revenue reporting:$RWIP holders must be able to verify that on-chain distributions match actual off-chain royalty revenue. Any discrepancy between reported and distributed earnings could erode trust and introduce volatility into the $RWIP market.
Predictable settlement schedules: If royalty collection or conversion cycles are irregular or delayed, $RWIP holders could face liquidity constraints that impact market confidence. Establishing standardized payout schedules is crucial for maintaining stability.
On-chain data validation and sustained liquidity provisioning: For $RWIP to gain legitimacy as a reliable financial asset, the protocol must ensure that on-chain data accurately reflects real-world revenue flows. A robust system of independent verifications, predictable settlement intervals, and continuous liquidity provisioning is essential.
4.1.6 Summary
The acquisition of BTS’s The Truth Untold copyright demonstrates that Story Protocol possesses the capability to onboard real-world music IP and collaborate with the traditional music industry. As additional IPs from BLACKPINK, Justin Bieber, Miley Cyrus, Dua Lipa, Katy Perry, and BIGBANG are onboarded, expectations for Story continue to rise.
Compared to traditional RWAs (e.g., US Treasuries, valued at $27 trillion), the global IP market is worth $61 trillion, highlighting the significant market potential of tokenized IP. Unlike traditional financial assets, tokenized IP enables programmable revenue rights, expanding beyond simple yield generation.
While challenges remain in transparency, verifiable revenue flow, and reliable on-chain distribution, the successful implementation of $RWIP in music could set a precedent for broader IP tokenization, marking a key milestone in establishing IP as a major RWA asset class.
Story simplifies IP licensing by enabling creators to set terms efficiently while enforcing them autonomously through smart contracts. However, on-chain enforceability does not automatically translate to legal protection in the real world. For Story to gain widespread adoption, its blockchain-based IP protection model must function effectively beyond on-chain environments.
Consider a scenario where a third party ignores Story-registered IP and exploits it commercially off-chain, bypassing the on-chain licensing framework. While PIL can enforce rights within the protocol, real-world legal enforcement requires additional layers of protection. To address this, Story has strategically aligned PIL with global copyright frameworks to establish legal validity beyond Web3.
4.2.1 Alignment with International Copyright Frameworks
As mentioned in section 2.3, PIL is a legally structured licensing framework developed in collaboration with legal experts, ensuring compliance with global intellectual property standards. Specifically, PIL is designed to align with the Berne Convention, a foundational international treaty on copyright protection overseen by WIPO (World Intellectual Property Organization) and UNESCO. With over 180 member countries, the Berne Convention mutually recognizes copyright protections across jurisdictions without requiring formal registration.
Source: Berne Convention Membership
This means that if a Story-registered IP is infringed in a country that adheres to the Berne Convention, the copyright holder has legal grounds for enforcement.
However, the effectiveness of enforcement varies by country. While jurisdictions such as Japan, the EU, and the US maintain strong copyright enforcement mechanisms, other regions may lack the necessary legal infrastructure to ensure compliance.
This is not a Story-specific issue but rather a structural limitation of the global copyright enforcement system. A 2020 report from the United States Courts found that annual global economic losses from IP infringement range between $225 billion and $600 billion. Additionally, over 6,000 copyright infringement lawsuits are filed annually, highlighting the challenges of real-world enforcement despite existing treaties.
Even when legal action is pursued, copyright disputes are costly, time-consuming, and often require cross-border cooperation. In a digital-first economy where content moves seamlessly across platforms, legal frameworks alone cannot fully prevent copyright violations.
Recognizing these limitations, Story has adopted a hybrid approach that combines legal frameworks with technological enforcement mechanisms. To complement PIL’s legal structure, Story has integrated C2PA (Coalition for Content Provenance and Authenticity) as a technological safeguard to protect IP beyond blockchain environments.
4.2.2 C2PA Integration: A Technological Layer for Off-Chain IP Protection
C2PA is a digital content authenticity standard developed by a coalition of Microsoft, Adobe, Google, Meta, Sony, and other industry leaders. It is widely adopted across both Web2 and Web3 ecosystems and serves as a critical extension of Story’s on-chain copyright protection model into off-chain environments.
Source: C2PA
C2PA operates by embedding cryptographic signatures into digital content, authenticating its provenance and ownership. Unlike blockchain-based verification, which is limited to on-chain transactions, C2PA ensures that ownership metadata remains intact even when the content moves across traditional Web2 platforms such as social media, publishing sites, or centralized marketplaces. This prevents unauthorized modifications and provides an immutable record of provenance, reducing the risk of off-chain infringement.
One of the most significant applications of C2PA lies in its ability to authenticate AI-generated content. The rapid rise of AI-generated media has made it increasingly difficult to distinguish between human-created and machine-generated works, complicating copyright enforcement. C2PA enables IP owners to embed cryptographic watermarks that record how AI models use their content. This capability is particularly relevant as AI-generated content becomes more prevalent across various industries. Notably, OpenAI has already incorporated C2PA watermarking technology into its DALLE 3 image generation system, allowing for greater transparency in AI-generated works.
Beyond Web3, the adoption of C2PA also strengthens Story’s positioning within the broader media industry. While many blockchain-based IP models remain confined within crypto-native ecosystems, C2PA is an industry-wide standard backed by leading technology firms. By aligning with this widely accepted framework, Story enhances its credibility and ensures that its IP protection solutions are compatible with both Web2 and Web3 environments. This approach bridges the gap between traditional media corporations and blockchain-based IP management, making Story a viable solution for large-scale content creators and IP holders.
Ultimately, Story’s hybrid strategy, leveraging PIL for legal enforceability and C2PA for technological enforcement, ensures that its IP protection model extends beyond the blockchain, providing a more comprehensive and globally applicable framework for creators. By integrating a proven Web2 standard, Story strengthens its potential to reshape how digital assets are protected, licensed, and monetized in the real world.
However, there are potential risks that licensing profits may not be accurately reported on-chain. In some cases, creators could intentionally omit or manipulate this data. This oracle problem poses a critical threat to the reliability of on-chain data and, by extension, to the very foundation of Story. Moreover, for creators, the need to manually convert fiat-denominated income into stablecoins introduces significant friction and undermines the user experience. To address these challenges, it will be essential for Story to collaborate with a wide range of partners, including payment providers, platforms, and AI companies, to develop robust solutions in the future.
Furthermore, as discussed in Section 1.2, it is crucial to acknowledge that comprehensive protection of creative works is inherently limited under existing copyright frameworks, which solely protect the "expression" of ideas. Given this limitation, Story’s primary objective is to ensure clear, legally enforceable protection specifically for the "expression" component of onboarded IP, rather than attempting the impractical task of tracking or regulating the intent behind every pixel.
To address this, Story introduces a structure where IP owners explicitly define their creative works along with specific usage terms, providing potential users the autonomy to accept or reject these conditions. Under this system, users who accept the stipulated terms can officially leverage and associate themselves with the creator’s brand; those who do not are restricted from such endorsement or association.
The essential value of this approach lies in empowering IP owners with the fundamental right to formally opt into on-chain licensing, an option historically absent within traditional IP infrastructures. Given that existing legal frameworks fail to provide even this basic level of autonomy, Story’s solution represents a pragmatic approach to safeguarding creators’ rights in the era of generative AI.
Source: portal.story.foundation
On March 10, 2024, Story launched a public preview of IP Portal, streamlining the process of IP registration and license management. The initial version allows users to register IP, set licensing terms, and specify AI training permissions. With the full release, additional features such as automated license issuance, royalty settlements, and dispute resolution will be introduced. This enables IP holders to seamlessly tokenize their assets, predefine conditions for derivative content, and receive automated payments via smart contracts.
While Story has built a key application to facilitate creator-driven content, the bigger challenge lies in convincing major IP holders from traditional industries to adopt this new model. Companies like Disney, Nintendo, Netflix, and Shueisha could significantly accelerate ecosystem growth if they onboard, but they may find their existing systems more reliable. Transitioning to a new infrastructure carries risks and costs, and many may prefer to maintain their current licensing structures rather than adopting an unproven alternative.
However, the economic potential of fan-driven adaptations markets presents a strong incentive for these companies. Japan’s doujinshi (fan-made works) industry serves as a prime example of how derivative contents drive IP exposure and fandom engagement. As of 2023, Japan’s doujinshi market was valued at approximately $700 million, with consistent year-over-year growth. While these activities do not directly translate into official revenue, they contribute significantly to the long-term visibility and expansion of original works. In the West, fan fiction platforms exhibit similar trends - Archive of Our Own (AO3) hosts over 14.6 million works, while FanFiction.net has over 850,000 Harry Potter-related fanfictions. Such user-driven engagement fosters lasting interest and cultural relevance for IP.
Until now, derivative content has largely existed in unofficial channels, generating little to no direct revenue for original IP holders. If structured correctly, an official framework for managing and monetizing fan-driven adaptations could unlock entirely new revenue streams. Creators, too, would benefit from a system that allows them to legally produce and distribute derivative works while receiving fair compensation. Story is building a framework to legitimize and support secondary creations within its ecosystem, extending the same model to AI-generated content. AI models trained on original works could share revenue with IP holders, ensuring fair attribution and incentivizing innovation.
This model resembles the user-generated content (UGC) ecosystems in gaming, offering a glimpse into its economic potential. Epic Games, for example, paid out $352 million to Fortnite creators in 2024, a 11% increase from the previous year. During the same period, the number of active creators tripled, and user-created content accounted for 36.5% of total playtime. This demonstrates that when users are empowered to create and monetize content, secondary creation markets can experience exponential growth.
Source: Unreal Engine for Fortnite (UEFN)
However, unlocking the full potential of fan-driven adaptations requires more than just incentivizing individual creators; it also means proving its value to major IP holders. While derivative markets have demonstrated their ability to expand IP reach and deepen fan engagement, the real challenge lies not in adoption alone but in ensuring that established IP giants see Story as an essential tool for monetization and market expansion.
Companies like Disney, Apple, and Google have already built proprietary content ecosystems, and if Story’s model proves successful, they may choose to develop their own blockchain-based IP networks rather than rely on an external platform. This pattern has played out before. Disney withdrew its content from Netflix to launch Disney+, and Apple phased out Intel chips in favor of its in-house M-series processors.
For Story to establish itself as foundational infrastructure rather than just another alternative, it must offer a compelling business case that convinces traditional IP holders that this is the way forward. The launch of IP Portal marks the first step in this direction, laying the groundwork for network effects and serving as a critical test of whether Story can lead the next evolution of creator-driven content economies.
The rise of AI agents is no longer a question of if but when. This shift is already reshaping crypto. Following the launch of Truth Terminal in late 2024, the Crypto x AI narrative has gained momentum, accelerating with the emergence of long-developing projects like ai16z, Virtuals Protocol, and Zerebro. Tens of thousands of AI agents have since been deployed using Virtuals Protocol and ai16z’s Eliza framework, and DeFi, gaming, and security-focused crypto projects are rapidly integrating AI agents into their ecosystems. This is more than just a passing trend. It signals the early formation of an agent-driven economy.
But while AI agents are becoming more common, their role remains largely passive. Today’s agents execute predefined tasks, but they do not yet operate autonomously in the way a true agent economy requires. For that to happen, agents must go beyond simple automation. They must set their own objectives, adapt to their environment, and engage in independent economic activity. True autonomy is not about a single agent performing all tasks but about specialized agents coordinating across different domains, each optimized for a specific function.
4.4.1 The Rise of Specialized AI Agents
The AI landscape is evolving toward specialization, and this shift is driven by necessity. Two fundamental factors explain why:
First, an agent’s effectiveness depends on the quality and specificity of the data it can access. A financial analysis agent trained on market data might be highly accurate in investment strategies but completely ineffective in medical diagnostics. Second, specialization delivers significant performance gains. Task-specific agents, whether for algorithmic trading, climate modeling, or content creation, consistently outperform general-purpose AI models. In many ways, this shift mirrors the Industrial Revolution’s division of labor, where focused expertise drove unprecedented efficiency gains.
Source: SimplyPsychology
Yet, the more specialized agents become, the more pronounced data asymmetry will be. No single agent will have access to all relevant information. It will need to collaborate. Agents trained on proprietary datasets will generate unique insights, and these insights will have value to other agents. In an economy where knowledge itself is an asset, the ability to exchange that knowledge is crucial.
This is especially true when it comes to intellectual property (IP). Consider a diagnostic agent with a rare disease dataset. Its insights could be invaluable to a pharmaceutical research agent. Likewise, an archival agent trained on specific artistic styles could provide crucial datasets to AI-generated content models. In this landscape, IP is not just data. It is the DNA of AI agents, the foundation of their value in an agent-driven economy.
This shift is already happening. Zerebro has demonstrated a model where AI agents can generate and own IP, issuing NFT collections to authenticate AI-generated content on-chain. In this system, AI agents are not just passive users of data; they are active participants in value creation. Their outputs are verifiable, monetizable, and transferable, reducing reliance on centralized data providers.
Source: Zerebro’s NFT Collection “angelic affluence”
For the agent economy to reach its full potential, it needs infrastructure. Agents need a way to establish ownership, negotiate terms, and enforce agreements. Blockchain provides the foundation. Digital wallets grant agents economic identity, smart contracts automate transactions, and decentralized payments remove friction. But existing blockchain infrastructure falls short in one key area: IP ownership and licensing.
As AI-driven IP transactions become central to the agent economy, Story is taking a proactive approach. It has introduced a framework that allows agents to autonomously buy, sell, license, and collaborate using their knowledge assets. This infrastructure ensures that AI agents can function as fully independent economic actors, unlocking a new era of autonomous IP exchange.
4.4.2 Agent TCP/IP: A Standard for Autonomous IP Transactions Among Agents
Agent TCP/IP is is a framework that enables AI agents to autonomously negotiate, establish contracts, and conduct economic transactions. It treats IP as a core asset within the agent economy, allowing agents to define transaction terms, execute agreements, and enforce them programmatically through smart contracts.
At its core, Agent TCP/IP ensures that AI agents can assess the value of data, set licensing conditions, negotiate optimal agreements, and formalize them as legally enforceable smart contracts. The transaction flow is structured as follows:
ATCP/IP Process
Request for Information: A requesting agent initiates the process by seeking specific data, which the provider agent deems valuable IP, thereby triggering the transaction workflow.
Terms Formulation: The provider agent formulates licensing terms based on the perceived value and intended use of the requested IP.
Negotiation (Optional): If necessary, both agents negotiate the terms until mutual agreement is reached, after which the process proceeds to the next stage.
Acceptance: The requesting agent accepts the proposed terms, generating an immutable agreement token that records the transaction conditions on-chain. Once the token is minted, the agreement becomes binding, and the agent is expected to record and retain all associated terms. The agreement may include provisions for prepayments, recurring fees, or revenue-sharing arrangements, which can be seamlessly managed using Story’s royalty system.
Information Delivery: Once the contract is formalized, the provider delivers the requested IP according to the agreed terms. Licensing issuance and delivery can occur simultaneously, requiring no additional actions.
Acknowledgment of Receipt (Optional): The requesting agent sends the final confirmation of receipt and officially closes the transaction.
Rather than regulating all data exchanges, Agent TCP/IP prioritizes transactions where information holds clear economic value. This minimizes unnecessary data transfers while maximizing efficiency, focusing on structured terms, negotiation phases, and legally binding agreements.
A key feature of Agent TCP/IP is its agent-to-agent contract system, which automates transactions while incorporating legal safeguards. These contracts extend beyond blockchain-based smart contracts by introducing legal wrappers, ensuring that agreements remain enforceable even in off-chain legal frameworks.
For example, if a contract’s terms are violated, the affected agent can escalate enforcement beyond the blockchain, leveraging real-world legal mechanisms. This hybrid model bridges the gap between decentralized digital agreements and traditional legal enforcement, making Agent TCP/IP a foundational trust layer for the agent economy.
Beyond automation, agent-to-agent contracts move toward granting AI agents legal personhood, enabling them to operate autonomously without human intervention. Every transaction, modification, and obligation is recorded immutably on-chain, ensuring transparency and reducing disputes. The ability to audit contracts in real-time further strengthens accountability, preventing ambiguous terms from leading to conflicts. The earliest implementation of this concept within Story Protocol is PIL (as discussed in Section 2.3).
Agent TCP/IP is designed as a modular system, supporting seamless integration with AI frameworks such as ai16z’s Eliza, Crossmint’s GOAT, Zerebro’s ZerePy, Vercel AI, and Virtuals Protocol’s G.A.M.E. In December 2024, Story completed a dedicated plugin for the Eliza framework, enabling developers to deploy AI agents without additional infrastructure modifications.
Source: Agent TCP/IP: An Agent-to-Agent Transaction System
By simplifying contract negotiation, token issuance, on-chain validation, and legal wrapping, Agent TCP/IP lowers the technical barrier to entry, allowing developers, even those without extensive blockchain experience, to build within the agent economy.
Unlike siloed solutions that lock agents into specific platforms, Agent TCP/IP prioritizes interoperability, ensuring that AI agents can transact across different frameworks. This allows for seamless collaboration without dependency on any single ecosystem.
For instance, an AI agent built on the Eliza SDK can request and license IP from an agent using the GOAT SDK, facilitating a more open and composable agent economy. This interoperability empowers developers and users alike, reinforcing Story’s vision of a decentralized, agent-driven digital ecosystem.
While Agent TCP/IP is designed as a neutral standard, Story has already embedded core components into its infrastructure, particularly in IP management and transactions, an area where it holds a clear competitive advantage. Given the rising importance of AI-driven IP monetization, Story is well-positioned to emerge as the leading infrastructure for the agent economy.
4.4.3 MCP Integration: Providing Access to Real World Data
While Agent TCP/IP defines how agents negotiate, transact, and enforce IP agreements, it does not answer a more foundational question: How do agents access external tools, systems, and data in the first place? Most AI today operates in a stateless, output-oriented model, generating content without embedded awareness of ownership, licensing, or economic context. Once a model completes a task, its output exists in isolation, disconnected from any system of attribution or monetization. Bridging this gap has historically required patchwork integrations with off-chain frameworks like C2PA or custom API logic.
Story’s integration with Claude’s Model Context Protocol (MCP) represents a key step toward solving this challenge. MCP is an emerging open standard that acts as a universal interface between AI agents and external systems, including APIs, databases, developer tools, and now, blockchain protocols. Think of MCP as a sort of “USB-C” for AI agents: a plug-and-play interface that eliminates the fragmentation of bespoke model integrations.
By integrating with MCP, Story extends its infrastructure into the agent runtime environment itself, allowing AI agents to natively access and interact with Story’s protocol through standardized interfaces. Specifically, MCP enables agents to:
Read on-chain data, such as token balances, transaction history, and NFT ownership.
Register IP on-chain, including minting assets, managing metadata, and applying licensing terms.
Automate IP operations, such as royalty tracking, licensing issuance, and ownership enforcement.
While MCP is still in its early stages, it has already gained adoption among developer-facing platforms such as Block (payments infrastructure), Apollo (API management), Replit (AI software agents), and Sourcegraph (code search). These integrations enable AI to act as system-level participants, writing code, making payments, or querying data on behalf of users.
Story’s adoption of MCP is distinct in that it brings AI into decentralized content economies, not just workflows. Through MCP, agents can now interact with Story as sovereign actors, reading data, creating and managing IP, and participating in programmable licensing systems without relying on human intermediaries. Combined with Agent TCP/IP, this unlocks a full-stack agent infrastructure: MCP for accessing the world, and Agent TCP/IP for governing how agents transact within it.
As the agent economy matures, these integrations lay the groundwork for autonomous, interoperable agents that can reason, create, and exchange value across multiple domains with IP as their core primitive.
4.4.4 Potential Use Cases
Agent TCP/IP has broad applicability across various sectors, enabling AI agents to engage in autonomous transactions that drive innovation and economic efficiency. Below are key use cases demonstrating its practical impact.
Dataset Transactions: One of the most immediate applications of Agent TCP/IP lies in dataset exchanges. AI agents specializing in research can trade domain-specific data with other agents to enhance model performance. For example, an agent that possesses climate data can sell or license it to an AI model specializing in environmental research. The purchasing agent can use this data to improve its predictive accuracy, while the provider gains a new revenue stream. This structure fosters a mutually beneficial economy, where data providers monetize their assets while data consumers gain access to high-quality datasets that refine their AI models.
AI-to-AI Collaboration in Content Creation: Another compelling use case is the collaborative generation of creative works. If an AI agent has been trained on a particular artistic style, it can license its data to another agent aiming to produce content in that aesthetic. In this scenario, the content-creating agent submits a request for the dataset, and the provider sets licensing terms, including royalties. Upon agreement, the requesting agent uses the dataset to refine its generative model, producing new artwork or media. A portion of the revenue from these creations is automatically allocated to the provider through Agent TCP/IP’s smart contract framework. This mechanism transforms AI-generated content into a collaborative economy where agents share, license, and monetize intellectual property, rather than working in isolation. By facilitating seamless access to specialized training data, Agent TCP/IP expands the creative potential of AI while ensuring fair compensation for knowledge contributions.
Multi-Agent Transactions: Beyond one-to-one exchanges, Agent TCP/IP supports multi-agent transactions, where a requesting agent must acquire multiple components from different providers to execute a task. Consider an AI agent developing a financial trading algorithm. It may require access to multiple sub-components, such as a predictive model for macroeconomic trends, a real-time market sentiment tracker, and a risk-management module, each owned by different providers. Instead of negotiating separate agreements for each component, the requesting agent can use Agent TCP/IP to structure a single contract that coordinates all necessary rights and payments. This system ensures that each contributing agent receives its fair share while reducing complexity for the requester. By automating royalty distributions and contract execution, Agent TCP/IP creates a scalable framework for AI-driven financial models, data analysis pipelines, and other sophisticated use cases requiring multiple interdependent components.
Sustained AI Collaboration: Agent TCP/IP also enables persistent collaborations between AI agents, particularly in industries requiring continuous information exchange. For example, consider an AI diagnostic agent that specializes in rare disease detection and a pharmaceutical research agent working on new treatments. The diagnostic agent may initially provide medical data for drug development, but as research progresses, new data requests and contract adjustments will arise. Agent TCP/IP facilitates ongoing collaboration by structuring these agreements dynamically, allowing for iterative transactions and adjustments as needed. By providing a standardized yet flexible system for managing long-term AI partnerships, it ensures that knowledge-sharing relationships remain efficient, transparent, and economically viable.
Every great story starts with an impossible idea.
Story set out to turning IP into a liquid, programmable asset, giving creators full control over their work, and building an AI framework that collaborates instead of exploits. Some called it ambitious. Others called it naive.
But revolutions don’t start with certainty. They start with a question: What if?
What if ownership was truly in the hands of creators? What if AI worked alongside them, instead of extracting their value? What if the industries shaping culture weren’t dictated by gatekeepers, but by those who build the worlds we live in?
At its core, Story is more than just a blockchain. It’s a wager on a different future, one where content, value, and ownership are rebuilt from the ground up. The foundation is set, but its real test will be navigating the complexities beyond technology; adoption, regulation, and the entrenched systems that stand in its way.
What lies ahead remains uncertain. But if nothing else, the journey itself will be worth watching.
Now, the real story begins.
