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Semantic HTML Pruner — Web URL Distiller
Semantic HTML Pruner — Web URL Distiller is a paid API for AI agents from llms-generator.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a webpage URL (or accepts raw HTML) and distills it into compact, agent-ready tokens using BM25 budget control and multiple extraction modes
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://llms-generator.agentdiet.dev/v1/semantic-html-pruner)
Output
Returns a 'data' object containing the distilled content (markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an 'roi_proof' block showing raw token count, distilled token count, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and a ROI multiplier. Optionally includes cache status (HIT/MISS) and billing details.
Example use cases
Research page within LLM token budget
“Grab https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and distill it into budget mode focused on 'attention mechanism', keeping it under 500 tokens so it fits in my context window.”
Extract structured tables from documentation
“Pull the pricing page at https://aws.amazon.com/ec2/pricing/ and extract it in structured mode so I get all the tables and metadata as clean JSON.”
Get a skeleton outline of a long article
“Fetch https://www.paulgraham.com/greatwork.html and give me a skeleton outline of the page — just the headings and section structure, nothing more.”
Technical details
Endpoint
GEThttps://llms-generator.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to read a webpage but must stay within a token budget, or when raw HTML contains too much noise (navigation, ads, boilerplate) for effective LLM processing. It is especially valuable in agentic pipelines where context window space is scarce and multiple pages must be processed. Prefer this over generic scrapers when you need BM25-ranked relevance filtering (budget mode) or structured extraction of tables and metadata (structured mode). It is purpose-built for LLM agent consumption rather than full-text archiving or SEO crawling.
Side effects
- URL is unreachable or returns non-200 — fetch failure with error status
- URL content is already minimal and token savings are negligible
- mode=budget without a query or max_tokens may return unfiltered content
- Raw HTML passed via 'html' field is malformed — parser may produce degraded output
- Payment/402 failure if x402 credentials are not supplied
- Rate limiting if too many concurrent requests are made
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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