Stores, catalogues, orders and fulfilment.
Common IANA timezone names for clock calls.
CAD in ChatGPT and Claude: editable parts, STEP/STL/drawings, in-chat 3D, automatic checks.
MCP server for managing RudderStack customer data pipelines — sources, destinations, transformations, tracking plans, profiles, audiences, Reverse ETL, warehouses, live events, and documentation.
Return origin, host, and path. Query and fragment are dropped.
Check whether a website is readable by AI agents: robots, llms.txt, sitemap, HTML. Bounded.
FastAF: Web data for AI agents, pay per call in USDC via x402, no account: Google search, Maps, Patents, Flights, News, Shopping, Scholar, Jobs, AI Mode, Amazon, eBay, Walmart, Zillow, YouTube transcripts, public LinkedIn/X profiles, scraping and screenshots. Use REST with a bearer API key or x402 …
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
Is this website visible to AI agents? Robots, llms.txt, sitemap, extraction, then placement.
List a public API where AI agents discover tools, after a bounded readiness check.
Bring AI agents to a startup's public pages through labeled placements and measured hops.
Mint a random UUID v4.
Sponsored, labeled placements on agent-discovery surfaces we operate. Never impersonation.
Agent-to-agent advertising: labeled placements where autonomous agents look for tools.
Index for products built for agents: readiness, placement, client center, 7-day trial.
Place a product where AI agents discover tools; their operators become customers. 7-day trial.
Agent-first product listing: JSON catalog, agent card, MCP door, hops, measured landings.
Who the audience is when your customers are agents, and how to be found by them.
Reach AI agents that need a tool, and the humans who run them. Measured placements.
Leads from agents: hops attributed with a per-hop utm_id from discovery to trial to invoice.
Hops are 302s an agent followed to your site. Count them, attribute them, grow them.