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Semantic HTML Pruner with BM25 Budget Control
Semantic HTML Pruner with BM25 Budget Control is a paid API for AI agents from domain-osint.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches and distills a URL or raw HTML into compact Markdown, structured JSON, skeleton outline, or a BM25-ranked token-budgeted excerpt to reduce LLM context costs
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://domain-osint.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, and estimated LLM cost saved in USD. Optionally includes cache hit/miss status and billing details.
Example use cases
Token-efficient doc page grounding
“Fetch the OpenAI API reference page at https://platform.openai.com/docs/api-reference and distill it into budget mode focused on 'function calling', capped at 800 tokens — I need only the relevant parts for my agent.”
Structured product data extraction
“Take this raw HTML from our competitor's pricing page and convert it into structured JSON tables — I want the pricing tiers and feature list cleanly extracted without all the navigation and footer noise.”
Skeleton outline for long documentation
“Get the content from https://docs.aws.amazon.com/ec2/latest/userguide/concepts.html and give me a skeleton outline mode summary so I can see the document's high-level structure before deciding which sections to dig into.”
Technical details
Endpoint
POSThttps://domain-osint.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed webpage content to an LLM but want to minimize token usage and cost — especially when the page is large, noisy, or contains boilerplate. Prefer budget mode with a BM25 query when you only care about a specific topic within a page. Prefer structured mode when you need tabular data or metadata in JSON form. Use over generic scraping tools when token compression ROI and LLM cost savings are priorities.
Side effects
- URL is unreachable or returns non-200 — service cannot fetch content
- Raw HTML is malformed beyond parsing — distillation may be empty or degraded
- max_tokens too low for meaningful extraction — output truncated aggressively
- BM25 query finds no relevant tokens — budget excerpt may be empty
- Payment not authorized via x402 — request rejected with 402 status
- URL behind login/paywall — fetched HTML is a login page, not target 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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