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Web URL Markdown Distiller with BM25 Budget Control
Web URL Markdown Distiller with BM25 Budget Control is a paid API for AI agents from hn-pulse.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or raw HTML and distills it into compact, agent-ready markdown, structured JSON, skeleton outline, or BM25-focused excerpts with token budget control
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://hn-pulse.agentdiet.dev/v1/markdown-distill)
Output
Returns a JSON object containing the distilled content (markdown text, structured tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), plus an roi_proof block showing raw vs distilled token counts, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and an ROI multiplier. Also includes cache status (HIT/MISS) and billing details.
Example use cases
Fit documentation into LLM context
“Grab the Stripe docs page at https://stripe.com/docs/api and distill it into structured markdown so I can paste it into my prompt without blowing my context window.”
Topic-focused excerpt from long article
“I need just the parts of https://example.com/long-research-paper that are about 'carbon capture efficiency' — give me a BM25 budget excerpt with a max of 600 tokens.”
Skeleton outline for agent navigation
“Can you fetch https://docs.openai.com/api-reference and give me a skeleton outline of the page structure so my agent knows what sections exist before diving in?”
Technical details
Endpoint
GEThttps://hn-pulse.agentdiet.dev/v1/markdown-distill?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web content but must stay within a token budget — especially for long documentation pages, research articles, or any URL where raw content would overflow an LLM context window. It is uniquely suited for agentic workflows that need BM25-focused relevance filtering or structured/skeleton extraction rather than naive full-page scraping. Prefer it over generic scrapers when token cost reduction and ROI proof matter.
Side effects
- Invalid or unreachable URL returns an error status
- Paywalled or bot-blocked pages may return empty or partial content
- Token budget too low (below 20) rejected at input validation
- HTML payload too large may timeout or be truncated
- BM25 query with no relevant matches returns minimal excerpt
- Payment failure via x402 prevents request from completing
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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