{"slug":"agent-pocket-network-v1-named-entity-recognition-f861d5","title":"Rule-based named-entity recognition for English text, from patterns and word lis","host":"agent.pocket.network","method":"POST","resource":"https://agent.pocket.network/v1/named-entity-recognition","category":"commerce","description":"Rule-based named-entity recognition for English text, from patterns and word lists rather than a trained model: persons, organisations, places, dates, money, percentages, emails, URLs and products, with character offsets. Best on clean, well-capitalised text; it misses names off its lists. POST /v1/","price_listed":0.005,"price_asked":0.005,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":898,"reported_calls_30d":32,"reported_payers_30d":2,"networks":["eip155:8453"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"text":"Ada Lovelace met Alan Turing in London on 12 May 1843 for 500 pounds."},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"description":"The body of POST /v1/ner.","properties":{"text":{"description":"English text to tag.","maxLength":100000,"type":"string"}},"required":["text"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"},"output":{"properties":{"example":{"properties":{"data":{"description":"For POST /v1/ner, a JSON object with entities (text, label, start, end), count, model and deterministic. Labels are PERSON, ORG, LOC, DATE, MONEY, PERCENT, EMAIL, URL and PRODUCT. A bad request answers 400 with an `error` string. Properties are pinned from live paid responses; nothing is required, because every route's 2xx response is validated against this one schema.","properties":{"count":{"type":"number"},"deterministic":{"type":"boolean"},"entities":{"items":{"properties":{"end":{"type":"number"},"label":{"type":"string"},"start":{"type":"number"},"text":{"type":"string"}},"type":"object"},"type":"array"},"model":{"type":"string"},"service":{"type":"string"}},"type":"object"},"portal":{"properties":{"provenance":{"const":"third-party-supplier"},"schemaCheck":{"enum":["passed","undeclared","unchecked"]},"serviceId":{"const":"named-entity-recognition"}},"required":["provenance","serviceId","schemaCheck"],"type":"object"}},"required":["portal","data"],"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-10-10","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.005,"price_match":true,"latency_ms":898,"error":null}],"description_full":"Rule-based named-entity recognition for English text, from patterns and word lists rather than a trained model: persons, organisations, places, dates, money, percentages, emails, URLs and products, with character offsets. Best on clean, well-capitalised text; it misses names off its lists. POST /v1/ner with {text}. Pay per request in USDC; no account, no API key.","last_updated":"2026-10-10T10:03:20.5Z","schemes":["exact"]}