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Web Page & HTML Distiller with BM25 Budget Control
Web Page & HTML Distiller with BM25 Budget Control is a paid API for AI agents from sec-intel.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches a URL or accepts raw HTML and distills it into token-efficient markdown, structured JSON, outline skeleton, or a BM25-ranked budget excerpt — returning compression ROI metrics.
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://sec-intel.agentdiet.dev/v1/token-optimizer)
Output
Returns a JSON object with a 'data' field containing the distilled content (markdown, structured tables, skeleton, or BM25 excerpt depending on mode), an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd, plus optional cache hit/miss status and billing details.
Example use cases
Context-window-safe doc ingestion
“Fetch https://docs.openai.com/api-reference and distill it into structured markdown under 1000 tokens so I can include it in my prompt without hitting the context limit.”
BM25 focused research excerpt
“Pull the page at https://arxiv.org/abs/2305.10601 and give me only the sections most relevant to 'retrieval augmented generation' using budget mode, capped at 500 tokens.”
Raw HTML cleanup for agent pipeline
“I've got this raw HTML from a scraper — distill it into clean markdown so my agent can process it without wasting tokens on nav bars and footers.”
Technical details
Endpoint
POSThttps://sec-intel.agentdiet.dev/v1/token-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce the token footprint of web content before feeding it to an LLM — especially when working with large documentation pages, financial filings, or news articles. It is uniquely valuable when you need a BM25-focused excerpt (budget mode with a query) to extract only the most relevant passages within a hard token ceiling. Prefer it over generic scrapers when you also want quantified ROI metrics (tokens saved, cost saved) to justify the preprocessing step in an agentic pipeline.
Side effects
- URL unreachable or returns non-200 — fetch fails, status error returned
- HTML input is empty or malformed — distillation produces minimal or empty output
- max_tokens set too low (below 20) — validation error
- BM25 query missing when mode=budget — may fall back to full distillation
- Rate limit or payment failure (402) — call rejected without distilled content
- URL is behind authentication/paywall — content inaccessible
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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