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Semantic HTML Pruner – Web URL to Agent-Ready Tokens
Semantic HTML Pruner – Web URL to Agent-Ready Tokens is a paid API for AI agents from onchain-risk.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL (or accepts raw HTML) and distills it into compact, token-efficient content 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://onchain-risk.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 budget excerpt depending on mode), plus an roi_proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, LLM cost saved in USD, and an ROI multiplier. Also includes cache hit/miss status and billing info.
Example use cases
Compress docs for LLM pipeline
“Grab https://docs.openai.com/api-reference and distill it into clean markdown in budget mode with a focus query on 'embeddings', capped at 800 tokens — I need to feed it to my agent without blowing my context window.”
Extract structured product data from storefront
“Take this URL https://example-shop.com/products and run it through structured mode so I get back the product tables and metadata in JSON format, without all the nav and footer noise.”
Outline a long article for quick review
“Distill https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) into a skeleton outline so I can see the section headings and key structure without reading the whole page.”
Technical details
Endpoint
GEThttps://onchain-risk.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web page content within a strict token budget, or when raw HTML is too noisy or large to pass directly to an LLM. It is especially valuable when you need BM25-ranked relevance filtering around a specific query, or when you want structured extraction (tables, metadata) or a skeleton outline rather than full page content. Prefer it over generic scraping tools when token efficiency and LLM cost reduction are priorities.
Side effects
- Invalid or unreachable URL returns an error status
- HTML fetch timeout for slow or blocked origins
- Token budget too small (below 20) returns validation error
- Mode enum mismatch returns 400-style error
- Payment not attached or x402 payment fails results in 402 response
- Raw HTML payload too large may be rejected
- BM25 query with no relevant matches returns minimal 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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