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AgentDiet Markdown Distill — BM25 Budget Web Distiller
AgentDiet Markdown Distill — BM25 Budget Web Distiller is a paid API for AI agents from mcp-compiler.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or accepts raw HTML and distills it into compact, agent-ready Markdown, structured JSON, skeleton outline, or a BM25-focused token-budget excerpt
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://mcp-compiler.agentdiet.dev/v1/markdown-distill)
Output
Returns a JSON object with a 'data' field containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), plus an 'roi_proof' object showing raw vs. distilled token counts, compression ratio, tokens saved, and estimated LLM cost saved in USD. Also includes cache hit/miss status and billing details.
Example use cases
Token-budget doc scraping for agent context
“Fetch https://docs.openai.com/api-reference and give me a BM25-focused excerpt about 'function calling' capped at 600 tokens — I need to fit it into my agent's context window.”
Clean markdown from noisy product page
“Take the HTML from this e-commerce product page I'm pasting and distill it into clean markdown — strip all the nav bars, ads, and boilerplate so I just get the product details.”
Skeleton outline of a long article
“Grab https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and give me a skeleton outline of the page structure so I can see what sections are covered without reading the whole thing.”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/markdown-distill?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to consume web content but must stay within strict token budgets, or when clean agent-ready Markdown is needed from noisy HTML pages. The BM25 budget mode is uniquely suited for precision retrieval from long documents — prefer it over generic scrapers when query-relevance-ranked compression matters. It is especially valuable when LLM cost reduction from web content is a priority, as the roi_proof response quantifies savings directly.
Side effects
- URL is unreachable or returns non-200 status — service may return an error status
- Raw HTML payload too large — may hit server-side size limits
- mode=budget without a 'query' parameter — BM25 ranking has no focus signal
- max_tokens set too low (below 20) — rejected by schema validation
- Target page behind authentication/paywall — fetch returns login page instead of content
- Payment not provided or insufficient — HTTP 402 response blocking execution
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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