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Web URL HTML Distiller with BM25 Budget Control
Web URL HTML Distiller with BM25 Budget Control is a paid API for AI agents from github-audit.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a webpage or raw HTML and distills it into compact, agent-ready tokens using configurable modes including markdown, structured, skeleton, or BM25-focused budget extraction
Price / call$0.001
Success—
StatusUnknown
How this service works
Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/clean-html)
Output
Returns a distilled content object containing the webpage content in the requested mode (markdown text, structured JSON tables/metadata, skeleton outline, or BM25-scored budget excerpt), plus an roi_proof block showing raw vs distilled token counts, compression ratio, tokens saved, and estimated LLM cost saved in USD. Also includes cache hit/miss status and billing details.
Example use cases
Token-efficient research from web pages
“Grab the content from https://openai.com/blog/gpt-4o and compress it into clean markdown under 1500 tokens — I want to feed it to another model without blowing my context window.”
Structured data extraction from a product page
“Distill https://aws.amazon.com/ec2/pricing/ in structured mode so I get the pricing tables and metadata as clean JSON I can process programmatically.”
BM25-focused excerpt for a specific question
“Pull https://docs.anthropic.com/en/docs/about-claude/models and extract only the parts most relevant to 'context window size' using budget mode with a max of 800 tokens.”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/clean-html?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an agent needs to read a live webpage but must stay within a token budget — especially before passing web content to an LLM. It is ideal when you want BM25-focused relevance filtering (budget mode with a query), structured extraction of tables/metadata, or a skeleton outline of page structure. Prefer it over raw fetch+parse when LLM cost savings and context compression matter. The roi_proof response makes it easy to audit how much token budget was preserved.
Side effects
- Invalid or unreachable URL returns an error status
- Missing required 'url' parameter causes a 400-level error
- mode=budget without a 'query' parameter may produce incomplete results
- max_tokens below minimum of 20 is rejected
- HTML fetch timeout for slow or blocked domains
- Payment failure via x402 blocks the request
- Paywalled or bot-blocked pages may return empty or partial content
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Target webpage URL to fetch and distill (or builtin://stripe-docs) |
| html | string | Optional raw HTML string to distill directly without fetching |
| mode | string | Distillation mode |
| query | string | BM25 focus query when mode=budget |
| max_tokens | integer | Strict token budget ceiling when mode=budget |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | object | Distilled Markdown, structured JSON tables/metadata, skeleton outline, or BM25 budget excerpt. |
| cache | object | |
| statusrequired | string | Execution status ('ok') |
| billing | object | |
| roi_proofrequired | object |
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