agente-jefe Text Summarization

x402

agente-jefe Text Summarization is a paid API for AI agents from agente.revenuerecoveryai.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Summarizes Spanish or multilingual text into a concise summary with key points, entities, and sentiment, billed per call in USDC via x402.

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

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.

Output

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.

Example use cases

News digest from Spanish press

“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.'”

Entity extraction from legal text

“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.'”

Multilingual document triage

“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.'”

Technical details

Endpoint

GEThttps://agente.revenuerecoveryai.app/v1/resumen

When to prefer

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.

Side effects

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

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "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
  }
}

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How this service works

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.

Output

Example use cases

News digest from Spanish press

Entity extraction from legal text

Multilingual document triage

Technical details

Endpoint

GEThttps://agente.revenuerecoveryai.app/v1/resumen

When to prefer

Side effects

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

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "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
  }
}