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Semantic HTML Pruner – Web URL Distillation to Agent-Ready Tokens
Semantic HTML Pruner – Web URL Distillation to Agent-Ready Tokens is a paid API for AI agents from serp-extract.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or raw HTML payload and distills it into compact, agent-ready Markdown, structured JSON, skeleton outline, or BM25-focused budget excerpts with token-saving metrics.
Price / call$0.001
Success—
StatusUnknown
How this service works
Distill a web URL into compact agent-ready tokens (Live x402 v2, IETF MPP & MCP endpoint at https://serp-extract.agentdiet.dev/v1/semantic-html-pruner)
Output
Returns a JSON object with a 'data' field containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), plus an 'roi_proof' object showing raw vs distilled token counts, compression ratio percentage, tokens saved, ROI multiplier, and estimated LLM cost saved in USD. Also includes billing details and optional cache hit/miss status with latency.
Example use cases
Token-budgeted research on a documentation page
“Pull the content from https://docs.openai.com/api-reference and give me only the parts relevant to 'function calling', keeping it under 600 tokens in budget mode.”
Clean markdown extraction for agent grounding
“Distill https://www.ycombinator.com/companies into readable markdown so I can feed it to my agent without blowing through my context window.”
Structured data extraction from a web page
“Fetch https://coinmarketcap.com/currencies/bitcoin/ and return the content in structured mode so I can get the tables and metadata as clean JSON.”
Technical details
Endpoint
GEThttps://serp-extract.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to consume web page content efficiently without exhausting its context window. It is especially valuable when the target page is HTML-heavy with navigation, ads, or boilerplate, and you need clean Markdown or structured JSON. Use budget mode with a BM25 query when you want only the most relevant passage within a strict token ceiling. Prefer this over generic scrapers when token cost savings and compression metrics are important inputs to your pipeline.
Side effects
- Invalid or unreachable URL returns an error status
- max_tokens below minimum of 20 rejected with validation error
- mode=budget without a query may return unfiltered content
- Raw HTML too large may exceed processing limits
- Paywalled or bot-protected pages may return incomplete or empty content
- Payment/billing failure if x402 payment not provided or insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Target webpage URL to distill (or builtin://stripe-docs) |
| mode | string | Extraction mode: markdown, structured, skeleton, or budget |
| limit | integer | Maximum number of items to return per page (1-100) |
| query | string | BM25 focus query when mode=budget |
| cursor | string | Opaque pagination cursor for fetching the next page |
| max_tokens | integer | Strict token 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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