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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 json-repair.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a webpage (or accepts raw HTML) and distills it into compact, agent-readable 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://json-repair.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), plus an 'roi_proof' block showing raw token count, distilled token count, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and an ROI multiplier. Also includes optional cache status (HIT/MISS) and billing details.
Example use cases
Summarize documentation for LLM context
“Fetch https://docs.openai.com/api-reference and distill it into tight markdown under 1500 tokens — I need to pass the gist to my model without blowing the context window.”
Topic-focused extraction from a news article
“Pull this article at https://techcrunch.com/2024/01/15/ai-agents-explainer and extract only the parts about autonomous agents, using budget mode with a 500-token limit.”
Structured data extraction from a product page
“Distill https://www.apple.com/iphone into structured JSON tables so I can pull out the product specs and pricing tiers cleanly.”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web page content to an LLM but want to dramatically reduce token usage — especially when you have a strict context budget or want BM25-focused relevance filtering. Prefer it over raw scraping when you need clean Markdown, structured tables, or a skeleton outline rather than raw HTML. Ideal for agentic pipelines that read many URLs and need to stay within token cost budgets.
Side effects
- URL is unreachable or returns non-200 — fetch fails with error status
- max_tokens set below 20 — validation error
- query param missing when mode=budget — may return unfiltered or error
- raw HTML too large — may timeout or exceed processing limits
- Paywalled or JavaScript-heavy pages may yield poor extraction quality
- Payment not fulfilled (402) — request blocked until x402 payment is 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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