{"name":"extract-entities","description":"Pulls structured entities out of free text: people, organizations, locations, dates, email addresses, URLs, phone numbers, and monetary amounts, each returned verbatim as it appears in the source so you can locate it again. Send text and get back an entities object grouped by type plus total_entities, powered by an LLM extraction pipeline with automatic fallback if the primary provider is unavailable. Use it as a named entity recognition (NER) API, entity extractor, or information extraction tool for parsing contracts, emails, invoices, and news text into structured fields.","price":"$0.005","method":"POST","input_schema":{"properties":{"text":{"type":"string","description":"Max 25,000 chars."}},"required":["text"]},"input_example":{"text":"Sarah from Acme Corp will fly to Tokyo on March 15."},"output_example":{"entities":{"people":["Sarah"],"organizations":["Acme Corp"],"locations":["Tokyo"]},"total_entities":4},"x402_payment_required":true,"x402_facilitator":"https://api.cdp.coinbase.com/platform/v2/x402"}