energybilltoolkit.co.uk Text Metrics Analyze is a paid API for AI agents from energybilltoolkit.co.uk, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Analyzes a text block and returns aggregate counts, top word frequency, readability scores, and content warnings in a single combined payload.
Aggregate counts, top word frequency, readability, and warnings in one payload.
A single JSON payload containing aggregate structural counts (characters, words, sentences, paragraphs), top word frequency rankings, a readability score, and any detected content warnings about the analyzed text.
POSThttps://energybilltoolkit.co.uk/text-metrics/api/tools/analyze-textChoose this endpoint when you need a single combined analysis payload covering counts, word frequency, readability, and warnings together — rather than calling separate endpoints for each metric. Ideal for agents that need a quick, comprehensive text quality snapshot without multiple round-trips.
{
"text": "Our quarterly energy bill showed a significant increase due to rising wholesale prices and infrastructure levies applied across all domestic tariffs. The analysis revealed that consumption patterns remained stable, but external market factors contributed substantially to the overall cost increase."
}| Field | Type | Description |
|---|---|---|
| text | string | Text to measure. |
| top_n | integer | |
| include_stopwords | boolean |
{
"counts": {
"lines": 1,
"words": 40,
"headings": 0,
"sentences": 2,
"characters": 298,
"paragraphs": 1,
"bullet_items": 0,
"unique_words": 37,
"non_empty_lines": 1,
"characters_no_spaces": 259,
"average_words_per_sentence": 20,
"average_words_per_paragraph": 40
},
"metric": "aggregate",
"warnings": [
{
"code": "short_text",
"message": "Readability and frequency metrics are unstable below about 100 words.",
"severity": "caution"
},
{
"code": "few_sentences",
"message": "Few sentence boundaries detected; readability may be misleading.",
"severity": "caution"
}
],
"frequency": {
"top": [
{
"count": 2,
"share": 0.064516,
"token": "increase"
},
{
"count": 1,
"share": 0.032258,
"token": "quarterly"
},
{
"count": 1,
"share": 0.032258,
"token": "energy"
},
{
"count": 1,
"share": 0.032258,
"token": "bill"
},
{
"count": 1,
"share": 0.032258,
"token": "showed"
},
{
"count": 1,
"share": 0.032258,
"token": "significant"
},
{
"count": 1,
"share": 0.032258,
"token": "due"
},
{
"count": 1,
"share": 0.032258,
"token": "rising"
},
{
"count": 1,
"share": 0.032258,
"token": "wholesale"
},
{
"count": 1,
"share": 0.032258,
"token": "prices"
},
{
"count": 1,
"share": 0.032258,
"token": "infrastructure"
},
{
"count": 1,
"share": 0.032258,
"token": "levies"
},
{
"count": 1,
"share": 0.032258,
"token": "applied"
},
{
"count": 1,
"share": 0.032258,
"token": "across"
},
{
"count": 1,
"share": 0.032258,
"token": "all"
},
{
"count": 1,
"share": 0.032258,
"token": "domestic"
},
{
"count": 1,
"share": 0.032258,
"token": "tariffs"
},
{
"count": 1,
"share": 0.032258,
"token": "analysis"
},
{
"count": 1,
"share": 0.032258,
"token": "revealed"
},
{
"count": 1,
"share": 0.032258,
"token": "consumption"
}
],
"top_n": 20,
"total_tokens": 31,
"unique_tokens": 30,
"include_stopwords": false
},
"readability": {
"method": "English Flesch formulas with heuristic syllable counting; directional, not authoritative.",
"syllables": 88,
"flesch_reading_ease": 0.42,
"flesch_kincaid_grade": 18.17,
"average_syllables_per_word": 2.2,
"average_sentence_length_words": 20
}
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