> For the complete documentation index, see [llms.txt](https://whitepaper.virtuals.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.virtuals.io/about-virtuals-1/the-protocol/ai-agent-co-contribution-and-provenance/modular-consensus-framework-for-ai-agent-governance/decentralized-ai-agent-contributions-and-nfts.md). # Decentralized AI Agent Contributions and NFTs Learn how Virtuals Protocol records AI agent model and dataset contributions with onchain contribution NFTs, IPFS metadata, and contributor rewards. Virtuals Protocol supports decentralized AI agent contributions from external builders. Contributors can improve agent models, datasets, and capabilities while receiving verifiable onchain attribution and rewards. Successful contributions mint as contribution NFTs and transfer to their contributors. These NFTs provide proof of contribution and support transparent reward distribution. ### AI agent contribution process Contributors submit AI models or datasets through the Virtuals platform. The protocol then records contribution details, verification, and ownership onchain.
Virtuals Protocol decentralized AI agent contribution process for minting contribution NFTs

Decentralized workflow for AI agent contributions and contribution NFTs.

#### 1. Contribution NFT and IPFS metadata Each contribution mints an NFT with metadata such as its description, version, and type. The metadata publishes to IPFS for decentralized, durable storage. #### 2. Smart contract verification Smart contracts manage submission, verification, and NFT minting. This records and tracks each validated AI agent contribution on the blockchain. #### 3. Contributor ownership and rewards Contribution NFT ownership gives contributors control over their work and related rewards. Transferring the NFT also transfers associated ownership rights and reward claims. ### Submit an AI agent contribution Submit your model or dataset contribution through the Virtuals platform: {% content-ref url="/pages/h9ILZU9pKovB1EJdud54" %} [Agent Contribution](/builders-hub/build-with-virtuals/agent-contribution.md) {% endcontent-ref %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://whitepaper.virtuals.io/about-virtuals-1/the-protocol/ai-agent-co-contribution-and-provenance/modular-consensus-framework-for-ai-agent-governance/decentralized-ai-agent-contributions-and-nfts.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.