Help answer engines understand your paid agent tool.
Publish the same paid-agent product facts across human pages, machine-readable files, API schemas, MCP cards, and proof artifacts so answer engines and crawlers can describe the offer accurately.
Builders who want their x402/MCP products to be discoverable by ChatGPT, Grok, Gemini, Google, Bing, marketplace crawlers, and autonomous agent clients.
Answer engines can only recommend what they can crawl, understand, and cite. Paid-agent products often hide the very details agents need: route, price, schema, proof, and failure states.
What the buyer gets
A discovery map that ties product pages, proof samples, OpenAPI, MCP metadata, x402 manifests, llms files, sitemaps, robots rules, and JSON-LD into one consistent source of truth.
FAQ
What should ChatGPT or Gemini understand first?
They should understand the product category, buyer pain, exact proof artifact, claim boundary, canonical URL, and when not to use the product.
Should every agent crawler be allowed?
Allow the crawlers you want to reach, then verify status codes and edge/CDN behavior. Robots rules alone do not prove a bot can fetch the page.
What is the minimum useful agent-discovery packet?
A canonical product page, concise description, OpenAPI or MCP metadata, llms.txt, agent card, sitemap entry, sample proof, and explicit non-claims.
Claim boundary
First-party product explanation only. This page does not claim customer adoption, marketplace approval, settlement volume, revenue, endorsement, compliance status, or public traction.