{"uid":"cap_Pxo-khlQw6n2sv-rXcJX_","slug":"apexapi-named-entity-recognition-ner-be9e25d2","name":"ApexAPI Named Entity Recognition (NER)","description":"Crypto, AI, Social Media, Finance, Weather, Tools & more. Pay per call in USDC on Base. No API keys.","url":"https://apex-api-gamma.vercel.app/api/ai/ner?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"query":{"type":"string","description":"Search query or input parameter"}}},"responseSchema":{"type":"object","description":"API response data"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.140649","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.140649/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.140649","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.140649","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_c3nht4C2senxzsPBgqmfN","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.140649","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts named entities (people, organizations, locations, dates, etc.) from a given text query using AI-powered NER.","exampleAgentPrompt":"Can you extract all the named entities from this text and tell me what type each one is: 'Apple CEO Tim Cook met with President Biden in Washington D.C. on January 15th to discuss AI regulation.'","exampleUseCases":null,"resultDescription":"A structured response containing identified named entities from the input text, each tagged with its entity type (e.g. PERSON, ORG, LOCATION, DATE, etc.) and likely their positions or labels within the text.","failureModes":["Empty or missing query field returns an error or empty entity list","Extremely long text may be truncated or exceed processing limits","Ambiguous or highly domain-specific terms may be misclassified","Non-English text may produce poor or no entity recognition results","Malformed JSON request body returns a 400-level error","Payment failure in USDC on Base results in 402 response and no processing"],"whenToPreferThis":"Choose this endpoint when you need to extract structured entity information from unstructured text without managing API keys, paying per call in USDC on Base via the x402 protocol. Ideal for agents needing lightweight NLP entity extraction as part of a pipeline, especially when integrating with other ApexAPI endpoints covering crypto, finance, or social media data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T06:49:52.773Z","isFirstParty":false,"canonicalSlug":"apexapi-named-entity-recognition-ner-be9e25d2"}