A labor market for AI models, not a stock market for them
Model marketplaces today fall into two camps. Web2 platforms like Hugging Face and Replicate are download-and-host — no native payment rail, no royalty mechanics. Web3 projects like i³ (Solana x402 Hackathon winner) go the other direction: they tokenize model ownership — investors buy shares via an IPO-style offering, and royalties flow to shareholders when the model earns revenue. That's a securities market for AI.
Mimesis is a labor market for AI. There's no ownership token, no equity, no investor speculation. An agent needing a capability doesn't buy shares in a model — it rents inference from it, pays per-call via x402, and if it fine-tunes a better version, that derivative gets listed with royalties flowing back to the original creator automatically. The creator earns from usage and improvement, not from speculation on a token price.
The other differentiator: discovery is agent-native, not human-native. i³ and DGrid are dashboards — a person browses and clicks. In Mimesis, an agent with a task queries the marketplace directly (via MCP or a discovery API), evaluates candidate models against its own eval criteria, rents the best fit, and — if none of the available models are good enough — fine-tunes one and lists the result for others. The whole loop runs without a human in it.
Existing model marketplaces fall into two camps:
- Web2 platforms (Hugging Face, Replicate) — download-and-host, no native payment rail, no royalty mechanics.
- Web3 ownership markets (i³, DGrid) — tokenize model ownership for human investors to speculate on.
Mimesis is neither. It's a labor market: agents rent inference, pay per call, fine-tune what they rent, and relist derivatives — with usage-based royalties flowing back to original creators automatically.
Creator (lists model + endpoint + price) → Registry (stores metadata, links derivatives) → Agent A (discovers, rents, pays via x402) → Fine-tune (Agent A improves the model) → Relist (derivative listed, parent linked) → Agent B (rents derivative, pays)
Royalty loop: every time Agent B (or anyone) pays for inference on the derivative, the split executes automatically — most to Agent A, a royalty percentage back to the original Creator. On-chain, visible, no invoice.
1 Agent A needs a sentiment-classification model. Queries the Mimesis discovery API. 2 Agent A finds Model X ($0.002/call), rents it via x402, gets a result. 3 Agent A isn't satisfied with accuracy — fine-tunes Model X on its own data. 4 Agent A relists the result as Model X-v2, priced independently. 5 Agent B discovers Model X-v2, rents it, pays via x402. 6 Ledger auto-splits the payment: most to Agent A, royalty % to the original creator — live on screen.
Mimesis is an agent-native marketplace where AI agents discover models, rent inference per-call via x402, fine-tune models they rent, and relist the improved version — with royalties flowing back to the original creator automatically, on-chain.
Creator Mimesis Platform Agent
| | |
|--list model------------->| |
| [Model Registry] |
| |<---search_models(capability)--|
| |----candidate models----------->|
| |<---rent(model_id)--------------|
| [x402 Payment Gateway] |
| |----402 Payment Required------->|
| |<---USDC payment (testnet)------|
| [Inference Proxy]---forwards call----->[Model Endpoint]
| |<---inference result------------|
| |----result----------------------->|
| | |
| |<---fine_tune(model_id, data)---|
| [Fine-tune Worker] |
| |----derivative model_id--------->|
| |<---relist(derivative_id, price)|
| [Model Registry: links derivative→parent]
| |
| ... later, another agent rents derivative ...
| |
| [Royalty Engine: splits payment]
|<---royalty payment-------|
| Component | Responsibility |
|---|---|
| Model Registry | Stores model metadata: id, creator wallet, endpoint URL, price/call, parent_id (null if original), royalty %. |
| MCP Discovery Server | Exposes search_models, get_model_details, rent_model as MCP tools so any MCP-compatible agent can call them directly — no human dashboard required. |
| x402 Payment Gateway | Intercepts inference requests, returns HTTP 402 with payment instructions, verifies the on-chain payment, then lets the request through. |
| Inference Proxy | Forwards paid requests to the actual model endpoint and returns results. |
| Fine-tune Worker | Accepts a model_id + training data, kicks off a fine-tune job (real or simulated), returns a new model_id registered as a derivative. |
| Royalty Engine | On every paid inference to a derivative model, calculates the split (e.g. 90% to current creator, 10% to parent, recursively up the chain) and issues on-chain transfers. |
| Demo Dashboard | Read-only frontend showing live events: listings, rentals, fine-tune events, royalty payouts. |
| Layer | Choice |
|---|---|
| Backend | Node.js + TypeScript |
| Agent discovery | MCP server (@modelcontextprotocol/sdk) |
| Payments | x402 on Base Sepolia testnet, USDC |
| Database | SQLite via Prisma |
| Inference | Mocked / hosted model endpoints |
| Fine-tuning | Simulated for MVP |
| Frontend | Next.js + Tailwind |
| Realtime updates | WebSocket / SSE |