{"name":"extract","description":"Pull structured entities out of raw text instead of hand-parsing it yourself. Send text and get back people, organizations, locations, dates, emails, urls, phone_numbers, and monetary amounts, each with a verbatim mention so you can locate it back in the source, plus a total_entities count. Amounts come with a parsed numeric value and currency code when the model can infer them, and every category returns an empty array rather than omitting the field when nothing matches. Use it as a named entity recognition API, NER extractor, or information extraction tool for contracts, emails, articles, or any text where you need names, dates, and numbers pulled out cleanly.","price":"$0.02","method":"POST","input_schema":{"properties":{"text":{"type":"string","description":"Text to extract entities from. Max 25k chars."}},"required":["text"]},"input_example":{"text":"Sarah from Acme Corp will fly to Tokyo on March 15."},"output_example":{"total_entities":4},"x402_payment_required":true,"x402_facilitator":"https://api.cdp.coinbase.com/platform/v2/x402"}