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NLP Text Readability & Flesch-Kincaid Grade Level Analyzer

Computes word count, sentence count, syllable estimate, Flesch Reading Ease score, and estimated reading/speaking time.

Call it (no API key)

GET https://api.agentdatahub.de/api/v1/call/text-readability-flesch-kincaid?text=Autonomous%20AI%20agents%20increasingly%20rely%20on%20deterministic%20APIs%20and%20machine-readable%20schemas%20to%20verify%20real-time%20facts%20before%20answering%20complex%20user%20queries.&compact=1

Full metadata: without compact=1 · Markdown: format=llm · Only some fields: add &fields=a,b.c · MCP: tool call_api with {"apiId":"text-readability-flesch-kincaid"}

Parameters

textInput text to analyze (default: Autonomous AI agents increasingly rely on deterministic APIs and machine-readable schemas to verify real-time facts before answering complex user queries.)

Example response (live, compact)

{
  "apiId": "text-readability-flesch-kincaid",
  "data_freshness": "live",
  "data": {
    "word_count": 20,
    "sentence_count": 1,
    "syllable_count": 48,
    "flesch_reading_ease": -16.5,
    "flesch_kincaid_grade_level": 20.53,
    "estimated_reading_time_seconds": 6,
    "estimated_LLM_tokens": 39
  },
  "source": "100% Platform Deterministic Compute / Reference Engine",
  "license": "100% Platform Local Compute"
}

Source & license

Source100% Platform Deterministic Compute / Reference Engine
License100% Platform Local Compute
Source URLlocal://nlp-readability
Termshttps://creativecommons.org/publicdomain/zero/1.0/
CategoryKnowledge, Research & News › 5. Scientific Reference, Periodic Table & Text/RAG Utilities