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Tanod ML

utilpeek: extract keyphrases from a text (RAKE)

text_keywords
Read-onlyIdempotent

utilpeek: Extract the keywords and keyphrases of a text. Returns the top keyphrases of a text by RAKE (phrases between stop words and punctuation, scored by word degree / frequency), with score and count. Input: text, optional language, top_n and max_words. Typically under 0.3 s. Price: USD 0.002. Free: 10 utilpeek calls per IP per UTC day. Tanod does not log or store the submitted text; it is processed in memory for this answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text (at most 200,000 characters).
top_nNoKeyphrases to return, best first (1-100, default 10).
languageNoStop-word language: de, en (default), es, fr, it, nl or pt.en
max_wordsNoLongest keyphrase, in words.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
errorNoOnly on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object.
methodNo
sourceNo
keywordsNo
languageNo
candidatesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / language / description
      Added value: +"Stop-word language: de, en (default), es, fr, it, nl or pt."
    • addedInput schema / properties / top_n / description
      Added value: +"Keyphrases to return, best first (1-100, default 10)."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "candidates": {
      +      "type": [
      +        "integer",
      +        "null"
      +      ]
      +    },
      +    "error": {
      +      "description": "Only on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object."
      +    },
      +    "keywords": {
      +      "items": {
      +        "properties": {
      +          "count": {
      +            "type": [
      +              "integer",
      +              "null"
      +            ]
      +          },
      +          "phrase": {
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "score": {
      +            "type": [
      +              "number",
      +              "null"
      +            ]
      +          }
      +        },
      +        "type": [
      +          "object",
      +          "null"
      +        ]
      +      },
      +      "type": [
      +        "array",
      +        "null"
      +      ]
      +    },
      +    "language": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "method": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "note": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "source": {
      +      "type": [
      +        "object",
      +        "null"
      +      ]
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

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