{"uid":"cap_IT7EQ4Oo-w-WlCjb-dN2g","slug":"entity-relationship-extractor-mcp-bb32c3ea","name":"Entity Relationship Extractor MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/entity-relationship-extractor-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.06","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":"$0.06/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.06","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.06","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_FV_EmiSrL1KD9lAimVlE0","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.06","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts entities and their relationships from unstructured text data","exampleAgentPrompt":"Can you extract all the entities and relationships from this text: 'Elon Musk founded SpaceX in 2002 and serves as its CEO. SpaceX is headquartered in Hawthorne, California and partners with NASA on rocket launches.'","exampleUseCases":[{"title":"Knowledge graph construction from news","prompt":"I have this news article about a corporate merger — can you pull out all the companies, people, and how they relate to each other so I can add them to my knowledge graph?"},{"title":"Research paper entity mapping","prompt":"Here's a paragraph from a scientific paper: 'BRCA1 gene mutations are associated with increased risk of breast cancer and interact with the TP53 pathway.' Can you extract all the biological entities and how they're connected?"},{"title":"Contract relationship analysis","prompt":"Extract all the parties, organizations, and legal relationships from this contract clause: 'Acme Corp, a subsidiary of GlobalTech Inc., has entered into a licensing agreement with BetaSoft LLC, represented by attorney Jane Doe.'"}],"resultDescription":"Returns a structured representation of entities found in the input text along with the relationships between them, typically as typed entity nodes and labeled relationship edges (e.g. subject-predicate-object triples or entity pairs with relationship type).","failureModes":["Empty or whitespace-only input returns no entities or relationships","Highly ambiguous or poorly formed text may yield low-confidence or incorrect extractions","Very long text inputs may be truncated or produce incomplete results","Non-English text may not be supported or may produce degraded results","Payment failure (402) if USDC balance is insufficient for the $0.06 per-call fee"],"whenToPreferThis":"Choose this endpoint when you need to automatically extract structured entity-relationship data from free-form text without building your own NLP pipeline. It is well-suited for knowledge graph population, document analysis, and relationship mining tasks where the input is a string of natural language text.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:57:55.745Z","isFirstParty":false}