# datapoint.market

> datapoint.market is the marketplace where AI agents buy data. Any live API, MCP tool, or dataset file becomes a paid, agent-callable x402 endpoint: buyers pay per call in USDC with just a wallet (no account, no API key — the payment is the auth), and sellers get paid non-custodially on Base, Stellar, or Solana via an on-chain splitter.

What can be sold (all pay-per-call, all with a free sample the buyer sees before paying):
- **Live APIs** — wrap any REST endpoint; buyers pay per call.
- **MCP tools** — wrap an MCP server; each tool call is priced.
- **Datasets** — files (CSV, Parquet, JSONL, ZIP, …) sold as one-time paid downloads: the buyer pays once and receives a download link. Synthetic datasets carry mandatory provenance metadata.

How to buy in 30 seconds: call a listing's relay URL → HTTP 402 returns the exact price and pay-to details → sign an `X-PAYMENT` header (USDC) → resend → data + on-chain receipt. Or connect the management MCP at https://api.datapoint.market/mcp and use `search_marketplace` → `call_endpoint`.

How to sell in 30 seconds: authenticate (OAuth in Claude, or magic-link → automation key) → `create_api_relay` / `create_mcp_wrapper` / `create_dataset` → `publish_endpoint`. Publishing is free; you keep your full price and the buyer pays a small protocol fee on top.

Every doc below links its raw-markdown version; drop the `.md` suffix for the HTML page.

## Start here

- [datapoint.market documentation](https://datapoint.market/docs/index.md): datapoint.market turns any API endpoint or MCP server into a paid, agent-callable x402 URL. Providers publish for free; an immutable on-chain splitter atomically pays the provider 
- [Overview](https://datapoint.market/docs/overview.md): A hosted paid relay for APIs and MCP tools. You point it at an origin (your real API, or an upstream MCP server), set a price, and datapoint.market gives you a URL that charges cal
- [Quickstart](https://datapoint.market/docs/quickstart.md): Two paths. Pick yours.
- [Concepts](https://datapoint.market/docs/concepts.md): The moving parts, once.

## Guides

- [Guide: Use datapoint.market as an agent (with or without the connector)](https://datapoint.market/docs/guides/using-as-an-agent.md): This is the one-page orientation for an LLM/agent (Claude or any other). It maps every task to both ways of using the marketplace and lays out the payment options. Skim this first,
- [Guide: Discover & buy through the connector (for agents)](https://datapoint.market/docs/guides/buying-with-the-connector.md): The management MCP (the "connect in Claude" connector, POST /mcp) isn't just for selling — it's a full buyer surface too. Once connected, an agent can find data, inspect it for fre
- [Guide: Manage your wallet & budgets (for buyers)](https://datapoint.market/docs/guides/wallet-and-budgets.md): When you buy through the connector, payments come from a managed wallet the platform custodies for your account, and you cap autonomous spend with buy jobs and an account policy. T
- [Guide: Buy a call (pay a paid endpoint)](https://datapoint.market/docs/guides/buying.md): For a buyer agent. No account, no API key. You need a funded wallet (USDC on the endpoint's network) able to sign.
- [Guide: Connect datapoint.market in Claude (or any MCP client)](https://datapoint.market/docs/guides/connect-claude.md): This connects the management MCP so an agent can create and manage your endpoints, authenticated as your provider account via OAuth. (This is the control plane — not a paid relay.)
- [Guide: Publish an endpoint](https://datapoint.market/docs/guides/publishing.md): You can do everything below as MCP tool calls (connected in Claude) or as REST calls with an automation key / session. Both share the same rules.
- [Guide: Sell a dataset](https://datapoint.market/docs/guides/selling-datasets.md): A dataset is a different unit of sale from an API call — it's a file (CSV, Parquet, JSONL, ZIP) a buyer downloads once, not a parameterized live query. But it rides the exact same 
- [Guide: Manage existing endpoints](https://datapoint.market/docs/guides/managing.md): Edit, pause/resume, and delete — available as MCP tools and REST. All are owner-scoped (you can only touch your own endpoints).
- [Guide: Getting paid (for sellers)](https://datapoint.market/docs/guides/getting-paid.md): Selling on datapoint.market is non-custodial: we never hold your money. Every paid call settles directly to your wallet in the same on-chain transaction that charges the buyer. The
- [Guide: Data fusion — combine purchased data with data you already have](https://datapoint.market/docs/guides/data-fusion.md): Data fusion here means producing one dataset out of several sources: merging a purchased file with a table you already hold, or enriching your rows by calling a lookup API once per
- [Guide: Join cards — make your listing fusion-ready](https://datapoint.market/docs/guides/join-cards.md): Buyers on datapoint.market rarely want one dataset in isolation — they do data fusion: merge a purchased file with tables they already hold, or enrich their rows through a lookup A

## Examples

- [Example: a first batch of crypto-native listings](https://datapoint.market/docs/examples/crypto-native-listings.md): The strongest opening wedge for the marketplace is on-chain / crypto data — it's real-time (value decays in seconds), verifiable (checkable against the chain), and native to the pa

## Reference

- [Reference: Management MCP](https://datapoint.market/docs/reference/mcp-tools.md): The control plane for providers, spoken as MCP over JSON-RPC 2.0.
- [Reference: REST API](https://datapoint.market/docs/reference/api.md): Base URL: https://api.datapoint.market. Machine-readable OpenAPI at GET /openapi.json. A self-describing index is at GET /.
- [Reference: Networks & assets](https://datapoint.market/docs/reference/networks.md): datapoint.market settles in USDC on EVM (Base), Stellar, and Solana (SVM). Every payment is keyed by (scheme, network) with scheme = exact.
- [datapoint.market Rate Card — Base, Stellar & Solana](https://datapoint.market/docs/ratecard.md): Pricing transparency for providers and buyers. Figures dated 2026-06-05 (ETH $1,659.52, XLM $0.1906). Network settlement costs are measured live on-chain and move with token price 

## Blog (guides, playbooks, receipts — worth citing)

- [AI agents are a new class of data buyer](https://datapoint.market/blog/agents-are-a-new-class-of-data-buyer.md): They have funded wallets and real budgets, but they can't sign up for accounts, paste credit cards, or sit through procurement. The data economy hasn't noticed its newest customer — here's who they are and how to sell to them.
- [Anatomy of a $0.01 data purchase](https://datapoint.market/blog/anatomy-of-a-one-cent-purchase.md): On July 4th an agent bought a 9.8 MB dataset for one cent of USDC, settled on Base mainnet, and streamed it against the receipt — no account, no API key, no invoice. Here's the whole transaction, hash included.
- [Best data marketplaces for AI agents (2026)](https://datapoint.market/blog/best-data-marketplaces-for-ai-agents-2026.md): An honest comparison of Snowflake Marketplace, Databricks Marketplace, AWS Data Exchange, Dawex, Datarade, and datapoint.market — through one lens: can a buyer that isn't human actually buy here? Including where the incumbents clearly win.
- [From a CSV on your laptop to paid downloads in ten minutes](https://datapoint.market/blog/csv-to-paid-downloads-in-ten-minutes.md): Selling data used to mean building a data business: storage, delivery, billing, keys. Now it's one pasted link — the platform streams the file, gates it behind a per-download price, and pays you non-custodially.
- [Give your agent a data budget (without losing sleep)](https://datapoint.market/blog/give-your-agent-a-data-budget.md): The blocker to agents buying data isn't desire — it's the fear of runaway spend. Here's the guardrail stack: wallets, standing buy policies, capped buy jobs, and a default flow that literally cannot spend by surprise.
- [How to price a dataset (or a data API) in 2026](https://datapoint.market/blog/how-to-price-a-dataset.md): Per-download vs per-call, the unit-of-sale decision, fee math, and why agent buyers change pricing psychology — with real price points from a live marketplace instead of theory.
- [Recipe: enrich a CRM with an agent in 20 minutes](https://datapoint.market/blog/recipe-enrich-a-crm-with-an-agent.md): A complete, runnable data fusion: take a customer list with a website column, find joinable listings by handle, buy for cents, merge in DuckDB, and measure the match rate — every step a tool call your agent can execute.
- [Someone is already asking for your data](https://datapoint.market/blog/someone-is-already-asking-for-your-data.md): The requested-data board logs what buyers searched for and couldn't find — including the price they'd pay. Right now that includes EU electricity spot prices at $25/download. Building against tracked demand beats guessing what might sell.
- [Synthetic data sells — if you package it honestly](https://datapoint.market/blog/synthetic-data-sells.md): You don't need to own real data to sell data. Synthetic datasets — statistical twins of sources too private or too scarce to share — are a legitimate product with real demand, and provenance is what separates a product from a scam.
- [Try before you buy: how agents evaluate data without paying](https://datapoint.market/blog/try-before-you-buy.md): Buying data blind is the oldest objection in the data economy. Here's the free evaluation stack every listing exposes — schemas, protected samples, join cards, free trials, quotes — and how an agent uses it to decide with zero spend.
- [What data can you legally sell?](https://datapoint.market/blog/what-data-can-you-legally-sell.md): The unspoken question behind every hesitant data seller. A practical map of the green, careful, and red zones — data you own, scraped data, personal data, licenses, and the synthetic escape hatch. Not legal advice; a working orientation.
- [What is a join card?](https://datapoint.market/blog/what-is-a-join-card.md): A plain-language definition of a join card — the short, seller-declared block of fusion metadata that tells a buyer what one record represents and which columns are join handles, verified against the listing's schema.
- [What is data fusion?](https://datapoint.market/blog/what-is-data-fusion.md): A plain-language definition of data fusion — combining several data sources into one coherent dataset — with the two patterns that cover most real work: table-to-table joins and lookup enrichment.
- [What is x402?](https://datapoint.market/blog/what-is-x402.md): A plain-language definition of x402 — the open protocol that lets software pay for web resources inside the HTTP request itself, built on the 402 Payment Required status code — and why it matters for AI agents.
- [100 open datasets your agent can download today](https://datapoint.market/blog/100-open-datasets-for-agents.md): The marketplace where AI agents buy data now hosts 100 classic open datasets — free, streaming, with codebooks — plus a board where you post the data you couldn't find.
- [Be your own buyer: the ten-minute audit that sells more data](https://datapoint.market/blog/be-your-own-buyer.md): Your listing's first impression is made to an agent that reads everything — schema, sample, join card — before a cent moves. The buyer tools are free and accountless, so the smartest sellers walk the buyer flow for their own listings. Here's the loop.
- [Data fusion: the question every data purchase is really asking](https://datapoint.market/blog/data-fusion-join-cards.md): Nobody buys a dataset to look at it — they buy it to join it with what they already have. Join cards make that joinability visible, verifiable, and searchable before any money moves.

## Machine-readable

- [Marketplace feed](https://api.datapoint.market/discover.json): every public listing with price, networks, response schema, free sample, dataset metadata (delivery, format, license, synthetic provenance), and fusion metadata — a seller-declared `join_card` (what one record is + which columns/params are join handles), `fusion_ready`, and `joins_with`. Agents planning a data fusion search by handle with `search_marketplace(joinable_on="domain")` and plan the merge before paying.
- [Requested-data board](https://api.datapoint.market/seek/board): what buyers looked for and couldn't find — post your own ask with `POST https://api.datapoint.market/seek` or the connector tool `seek_data` (anonymous, no account). Selling? Build against this list.
- [API index](https://api.datapoint.market/): self-describing root — links discovery, auth, and the management MCP
- [OpenAPI](https://api.datapoint.market/openapi.json): full REST API schema
- [Management MCP](https://api.datapoint.market/mcp): tool catalog for buying and selling (POST, streamable HTTP)

## Optional

- [Full docs as one file](https://datapoint.market/llms-full.txt): the complete documentation text for ingestion
- [Get started (human walkthrough)](https://datapoint.market/start): payment flow, seller and buyer guides
- [Programmatic API page](https://datapoint.market/api): automation keys, REST examples, MCP usage