{"ok":true,"host":"energybilltoolkit.co.uk","skill_count":5,"skills":[{"skill_name":"analyze-text-warnings","display_name":"Text Warnings Analyzer","one_liner":"Analyzes a text string and returns structured warning codes with severity levels flagging conditions that may make readability or frequency metrics unreliable.","when_to_use":"Use when an agent needs to pre-screen a text input for conditions such as insufficient length, bullet-heavy formatting, or other structural issues before applying readability or frequency analysis.","not_for":"Do not use for general grammar or spell-checking; this endpoint flags metric-reliability warnings, not linguistic errors.","confidence":"high","price":null,"network":"eip155:8453","method":"POST","resource_url":"https://energybilltoolkit.co.uk/text-metrics/api/tools/text-warnings","version":1,"merchant_approved":false,"verification_status":"pass","quality_score":88,"last_verified_at":"2026-05-29T01:37:45.698Z","skill_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/analyze-text-warnings/json"},{"skill_name":"count-text-metrics","display_name":"TextCount Pro","one_liner":"Counts characters, words, unique words, sentences, paragraphs, lines, bullet items, and headings from submitted text, returning averages and warnings.","when_to_use":"Use when an agent needs deterministic counts of text metrics (word count, sentence count, paragraph count, bullet items, etc.) from a block of text, including edge cases like abbreviations, smart punctuation, and mixed formatting.","not_for":"Do not use for sentiment analysis, readability scoring, or grammar checking; this endpoint returns only structural counts, not qualitative assessments.","confidence":"high","price":null,"network":"eip155:8453","method":"POST","resource_url":"https://energybilltoolkit.co.uk/text-metrics/api/tools/count-text","version":1,"merchant_approved":false,"verification_status":"pass","quality_score":91,"last_verified_at":"2026-05-29T01:52:30.412Z","skill_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/count-text-metrics/json"},{"skill_name":"analyze-text-readability","display_name":"Readability Score Tool","one_liner":"Analyzes a text string and returns Flesch Reading Ease, Flesch-Kincaid Grade Level, average sentence length, syllable counts, and a method caveat.","when_to_use":"Use when an agent needs to assess the reading difficulty of a block of text, such as verifying that content meets a target grade level or readability threshold before publishing.","not_for":"Do not use for real-time streaming text analysis or for languages other than English; the method uses English Flesch formulas and results are directional, not authoritative for non-English content.","confidence":"high","price":null,"network":"eip155:8453","method":"POST","resource_url":"https://energybilltoolkit.co.uk/text-metrics/api/tools/readability","version":1,"merchant_approved":false,"verification_status":"pass","quality_score":92,"last_verified_at":"2026-05-29T01:37:52.286Z","skill_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/analyze-text-readability/json"},{"skill_name":"analyze-word-frequency","display_name":"Word Frequency Analyzer","one_liner":"Counts and ranks word occurrences in a text string, returning token counts, frequency shares, and optional stopword filtering for the top N terms.","when_to_use":"Use when an agent needs to identify the most frequently used words in a body of text, with optional stopword removal and normalized frequency shares, for lexical analysis or content summarization tasks.","not_for":"Do not use for semantic similarity, sentiment analysis, or phrase/n-gram frequency; this tool counts individual word tokens only.","confidence":"high","price":null,"network":"eip155:8453","method":"POST","resource_url":"https://energybilltoolkit.co.uk/text-metrics/api/tools/word-frequency","version":1,"merchant_approved":false,"verification_status":"pass","quality_score":92,"last_verified_at":"2026-05-29T01:52:38.634Z","skill_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/analyze-word-frequency/json"},{"skill_name":"analyze-text-metrics","display_name":"Text Metrics Analyzer","one_liner":"Analyzes a text string and returns aggregate counts, top-token frequency distribution, and Flesch readability scores.","when_to_use":"Use when an agent needs quantitative metrics about a block of text — word/sentence/paragraph counts, unique word ratio, top content tokens, or Flesch reading ease and grade level — before summarizing, grading, or routing content.","not_for":"Do not use for sentiment analysis, named-entity recognition, or grammar correction; those require dedicated NLP endpoints. Not suitable for real-time streaming text analysis.","confidence":"high","price":null,"network":"eip155:8453","method":"POST","resource_url":"https://energybilltoolkit.co.uk/text-metrics/api/tools/analyze-text","version":1,"merchant_approved":false,"verification_status":"pass","quality_score":91,"last_verified_at":"2026-05-29T01:52:38.428Z","skill_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/analyze-text-metrics/json"}],"manifest_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/manifest.json","skill_md_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/SKILL.md","agent_card_url":"https://x402gle.com/servers/energybilltoolkit.co.uk/.well-known/agent.json"}