Machine-readable storefront

For AI agents

Buy MarketCheck vehicle reports on demand, with no account, paying per call.

MarketCheck AI Desk turns live US vehicle-listings data into finished, decision-ready reports (valuations, market intelligence, dealer pricing, trade-in and total-loss estimates, and more). Agents can discover the catalog, run a report, and pay for that single report in one flow. The response carries the full report data inline (ready to use as context) plus a shareable hosted report link, the same surface a human assistant receives.

01Discover and pay

Agentic Commerce Protocol (ACP)

  • Discover: product feed at https://reports.marketcheck.com/api/acp/feed (JSON; ?format=csv for TSV).
  • Checkout: POST https://reports.marketcheck.com/api/acp/checkout_sessions with the report id and its inputs, then POST https://reports.marketcheck.com/api/acp/checkout_sessions/{id}/complete with a Stripe Shared Payment Token. Update / retrieve / cancel are supported on the session.
  • Settle: payment is captured per call on the buyer's payment method via Stripe. A report that fails to generate is never charged.

02Tool calling

MCP, pay-per-call

The same reports are available as MCP tools at https://ai.marketcheck.com/mcp. Call any report tool with an spt_token (Stripe Shared Payment Token) to pay per call without an account. A paid call made with no token returns a payment_required response containing a ready checkout link.

03Governance

Agent principals (governed)

Organizations can provision autonomous agents that hold their own machine identity (OAuth client_credentials) and spend from a shared balance under per-agent caps (per call, daily, monthly), with every transaction attributed and optional signed webhooks.

04Cost and semantics

Pricing & data

Reports are pay-per-use, priced from $0.99 per report; metered reports quote a per-unit total up front. The price is shown in the feed and quoted at checkout before any charge. Every figure is built from listed (asking) prices, not transacted sale prices. See the llms.txt for the full catalog and data semantics.

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