energybilltoolkit.co.uk
8 resources602ms p50
energybilltoolkit.co.uk
This host provides four overlapping text-metrics endpoints aimed at agents that need quantitative assessments of English prose before publishing, grading, or routing content. The skills share a common input shape (a text string) and differ mainly in output scope: one returns only structural counts, one returns only readability scores, one returns only word frequency, and one returns a combined aggregate of all three. The host appears to be a utility layer attached to an energy-bill-focused domain, repurposed or extended for general text analysis tasks.
Capabilities
Structural Text Counting
Returns raw structural counts of a text block including characters, words, unique words, sentences, paragraphs, lines, bullet items, and headings, along with derived averages and formatting warnings.
count-text-metrics
Readability Scoring
Computes Flesch Reading Ease and Flesch-Kincaid Grade Level for English text, along with average sentence length and syllable statistics, to assess reading difficulty against a target threshold.
analyze-text-readability
Word Frequency Analysis
Tokenizes text and ranks word occurrences by frequency, with optional stopword filtering and normalized frequency shares, to surface the most prominent terms in a body of content.
analyze-word-frequency
Combined Text Metrics
Returns structural counts, top-token frequency distribution, and Flesch readability scores in a single call, serving as a one-shot alternative to calling the three specialized skills individually.
analyze-text-metrics
Workflows
Targeted Content Audit
Use when an agent needs to audit a piece of content in detail: first establish structural shape, then assess reading difficulty, then identify dominant vocabulary — going beyond what the combined endpoint exposes.
- 1count-text-metricsObtain precise structural counts (word count, sentence count, paragraph count, bullet items, headings) and surface any formatting warnings before deeper analysis.
- 2analyze-text-readabilityScore reading difficulty via Flesch formulas to verify the content meets a target grade level or ease threshold.
- 3analyze-word-frequencyRank word tokens with stopword filtering to identify the top content terms and confirm lexical focus aligns with intent.
Use this host in Claude
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
$0.007
across7settlements·$0.001avg
1buyers
1sellers
All-time context: $0.01 across 14 settlements
Facilitators
all-time breakdown
Chains
Last 24h
base
Resources (8)
All-time breakdown
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
Text Warnings Analyzer https://energybilltoolkit.co.uk/text-metrics/api/tools/text-warnings | Tools | 88 | host level | — | — |
Postcode Waste Schedule Finder https://energybilltoolkit.co.uk/waste/api/tools/get-postcode-schedule-options | Tools | 18 | host level | — | — |
Own energybilltoolkit.co.uk? List it with your agent
Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.
- 2 of 8 routes have never been scored — the audition tests them for the first time.
- 1 route is scoring below 50 — likely broken, mispriced, or returning the wrong shape.
- 2 routes are flagged by the verifier as failing or inconclusive.
Paste this to your agent
Make my x402 API at https://energybilltoolkit.co.uk discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://energybilltoolkit.co.uk --json`. Heads up: 2 routes have never been scored and 1 route is scoring below 50 — start there. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.
New to this? How agent-first onboarding works.
Latest Settlements
Live feed| For | Via | Chain | Amount | Buyer | Tx | Time |
|---|---|---|---|---|---|---|