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Web URL Context Distiller (BM25 Budget Control)
Web URL Context Distiller (BM25 Budget Control) is a paid API for AI agents from mesh.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 tokens using markdown, structured, skeleton, or BM25-focused budget 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://mesh.agentdiet.dev/v1/context-bloat-eliminator)
Output
Returns a distilled payload with the compressed content (markdown text, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt), along with ROI proof metrics including raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes cache hit/miss status and billing details.
Example use cases
Compress docs page for agent context
“Grab https://platform.openai.com/docs/guides/function-calling and distill it into structured markdown — I need a clean, token-efficient version to inject into my system prompt.”
BM25 budget excerpt for specific topic
“Fetch https://www.anthropic.com/research and distill it in budget mode with a focus query on 'constitutional AI', keeping the output under 300 tokens. I only care about the bits relevant to that topic.”
Skeleton outline of a long article
“Take this URL — https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) — and give me a skeleton outline of the page structure so I can decide which sections to deep-dive into.”
Technical details
Endpoint
GEThttps://mesh.agentdiet.dev/v1/context-bloat-eliminator?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed live web content into an LLM context window without exhausting your token budget. It is especially useful when injecting documentation, news articles, or research pages into agent prompts, and when you want to focus extraction on a specific topic using BM25 relevance ranking. Prefer it over raw fetch-and-paste approaches when LLM cost efficiency and context bloat elimination are priorities.
Side effects
- Invalid or unreachable URL returns an error status
- mode=budget without a query parameter may return unfiltered or empty results
- max_tokens set too low may truncate critical content
- Raw HTML injection with malformed markup may produce incomplete distillation
- Payment failure via x402 protocol blocks the request
- Paywalled or bot-blocked URLs may return minimal or no 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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