{"uid":"cap_r0WnQgzjZy_UBIrI2yDDO","slug":"nexusapi-named-entity-recognition-ner-60b694f7","name":"NexusAPI 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://nexus-api-peach-nine.vercel.app/api/ai/ner","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_cdOzCnspVI0tzY1xVyOks","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 text query using NLP","exampleAgentPrompt":"Can you extract all the named entities — like people, organizations, and locations — from this text: 'Apple CEO Tim Cook announced a new partnership with Samsung in Seoul last Tuesday'?","exampleUseCases":[{"title":"Extract people from customer emails","prompt":"I need you to pull out all the people mentioned in these customer support emails and tell me their names so I can track who's reached out."},{"title":"Find organizations in news articles","prompt":"Can you scan through this news article and identify every company or organization that's mentioned so I can see who's involved in this story?"},{"title":"Tag locations and dates in contracts","prompt":"Go through this contract and extract all the locations and dates mentioned — I need to understand where this agreement applies and what the key deadlines are."}],"resultDescription":"A structured response containing the identified named entities found in the input text, including their labels (e.g. PERSON, ORG, GPE, DATE) and the specific spans or values extracted from the query string.","failureModes":["Empty or missing query field returns an error or empty entity list","Very long text may be truncated or cause timeouts","Ambiguous or poorly formed text may yield low-quality or incorrect entity classifications","Non-English text may not be supported or may return degraded results","Payment failure (402) if USDC balance is insufficient"],"whenToPreferThis":"Use this endpoint when you need to extract structured named entity data from unstructured text without managing your own NLP infrastructure or API keys, and you want pay-per-call USDC billing on Base with no subscription required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:41:40.458Z","isFirstParty":false}