{"uid":"cap_DuXsb-Z0T-r81_r2cDrKY","slug":"agente-jefe-text-summarization-74957b6b","name":"agente-jefe Text Summarization","description":"Resume texto y extrae estructura (resumen, puntos clave, entidades, sentimiento, idioma). Variante con parámetros en la URL, para textos cortos; usa POST para textos largos.","url":"https://agente.revenuerecoveryai.app/v1/resumen","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["texto"],"properties":{"texto":{"type":"string","description":"Texto a resumir."},"idioma":{"type":"string","description":"Idioma de salida, ej. 'es'."},"profundo":{"type":"boolean","description":"Modelo grande."},"max_puntos_clave":{"type":"integer","maximum":15,"minimum":1}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"uso":{"modelo":"deepseek-v4-flash","tokens_salida":180,"tokens_entrada":236,"coste_estimado_usd":0.00016856,"tokens_entrada_cacheados":128},"resumen":"El banco central subió las tasas 25 puntos base en julio por la inflación persistente en servicios.","entidades":[{"tipo":"organizacion","nombre":"banco central"}],"sentimiento":"neutral","puntos_clave":["Subida de 25 pb","Reunión de julio","Inflación en servicios"],"idioma_detectado":"es","palabras_entrada":24}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_P6iCCRZLuUq_eijnIk8Gh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Summarizes Spanish or multilingual text into a concise summary with key points, entities, and sentiment, billed per call in USDC via x402.","exampleAgentPrompt":"Can you summarize this Spanish news article for me, pull out up to 5 key points, and tell me the sentiment? Here's the text: 'El banco central subió las tasas de interés 25 puntos base en su reunión de julio, ante la persistencia de la inflación en el sector servicios.'","exampleUseCases":[{"title":"News digest from Spanish press","prompt":"Summarize this article from El País into 3 key points and tell me if the tone is positive, negative, or neutral: 'El gobierno español aprobó ayer un paquete de medidas económicas por valor de 10.000 millones de euros para combatir la inflación y apoyar a las familias vulnerables.'"},{"title":"Entity extraction from legal text","prompt":"Pull out all the organizations and people mentioned in this paragraph and give me a short summary: 'La Comisión Europea y el Banco Central Europeo firmaron un acuerdo marco con la OCDE para coordinar la regulación de activos digitales en 2024.'"},{"title":"Multilingual document triage","prompt":"Summarize this text and tell me what language it's written in — I want the output in English: 'Das Bundesministerium für Finanzen gab bekannt, dass die Steuereinnahmen im ersten Quartal um 8 Prozent gestiegen sind.'"}],"resultDescription":"Returns a JSON object with: a prose summary (resumen), an array of key bullet points (puntos_clave, up to 15), named entities with type and name (entidades), an overall sentiment label (sentimiento), the detected input language (idioma_detectado), and a usage block showing model name, token counts, cached tokens, and estimated USD cost.","failureModes":["Missing required 'texto' query parameter returns a 400 error","Payment not received or x402 handshake failure returns 402 Payment Required","Text too long for model context window may produce truncated or failed summaries","Invalid 'profundo' or 'max_puntos_clave' values outside schema constraints return validation errors","Network timeout on upstream DeepSeek model call may return 503 or gateway error"],"whenToPreferThis":"Choose this endpoint when you need fast, pay-per-call text summarization with simultaneous entity extraction, sentiment analysis, and language detection — all in one response — without needing to sign up for an account or manage API keys. It is especially well-suited for Spanish-language content but handles multilingual input. Prefer it over general-purpose LLM calls when you want a structured, schema-guaranteed JSON response with cost transparency per call, and when micropayment via USDC on Base is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:41:44.658Z","isFirstParty":false}