{"uid":"cap_QhFDifl4zOcY-Vs2KQwmR","slug":"onvexia-nlp-entities-endpoint-659597e7","name":"Onvexia NLP Entities Endpoint","description":"Thousands of assets across ten chains, half a million analysed documents, labelled addresses and supply-age history reaching back to 2008 — fused into one reading per asset. REST, SQL, GraphQL and MCP.","url":"https://onvexia.com/v1/nlp/entities/%7Basset%7D","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"data":[],"meta":{"docs":"https://onvexia.com/openapi.json","endpoint":"/v1/nlp/entities/{asset}"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_1DnpAg7ChTafYudEYA4Dr","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts and returns named entities (e.g. people, organizations, projects, events) identified by NLP analysis from the corpus of blockchain research documents associated with a specific crypto asset","exampleAgentPrompt":"Pull the named entities — people, orgs, projects, and events — that Onvexia's NLP has identified across its research document corpus for ETH, so I can see who and what is most associated with Ethereum in blockchain analytics coverage.","exampleUseCases":[{"title":"Mapping key actors in DeFi protocol coverage","prompt":"For the Uniswap token UNI, pull all the named entities Onvexia has extracted from its analysed documents — I want to see which organizations, developers, and projects are most frequently associated with it in blockchain research."},{"title":"Due diligence on a new crypto asset","prompt":"I'm researching Avalanche before investing — can you fetch the NLP entities Onvexia has identified for AVAX so I can see what people, projects, and events are linked to it across half a million analysed documents?"},{"title":"Competitive intelligence on rival blockchain projects","prompt":"Get me the named entities from Onvexia's research corpus for Solana — I want to know which organizations and key figures appear most in coverage of SOL compared to what we see for other layer-1 chains."}],"resultDescription":"A JSON array of named entities extracted by NLP from Onvexia's corpus of blockchain research documents for the requested asset, including entity labels, types, and associated metadata. The response includes a data array and a meta object pointing to the full OpenAPI spec.","failureModes":["Unknown or unsupported asset identifier returns empty data array","Malformed asset parameter may return a 400 or empty result","Payment not completed (402) blocks access to results","Rate limiting or quota exceeded returns error response","Endpoint may return sparse results for low-coverage or newly listed assets"],"whenToPreferThis":"Choose this endpoint when you need NLP-derived named entity extraction specifically from a large corpus of blockchain research and analytics documents (500k+), spanning ten chains and dating back to 2008, for a specific crypto asset — rather than general web NLP or on-chain data providers that lack document-level entity analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-19T13:07:03.805Z","isFirstParty":false}