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Web URL Distiller & Context Bloat Eliminator
Web URL Distiller & Context Bloat Eliminator 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 raw HTML and compresses it into compact, agent-ready tokens using BM25 budget control and multiple distillation 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://mcp-compiler.agentdiet.dev/v1/context-bloat-eliminator)
Output
Returns a 'data' object containing the distilled content (markdown, structured JSON, skeleton outline, or BM25 excerpt depending on mode), plus an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing details.
Example use cases
Compressing docs for agent context
“Grab the OpenAI documentation page at https://platform.openai.com/docs/api-reference and distill it into clean markdown so I can feed it to my agent without blowing my context window.”
BM25-focused budget excerpt for research
“I need you to fetch https://en.wikipedia.org/wiki/Retrieval-augmented_generation and return only the most relevant 300 tokens about 'vector databases' using budget mode with BM25 focus.”
Structured data extraction from webpage
“Pull the page at https://news.ycombinator.com and distill it into structured JSON tables so I can see the top posts and scores in a tidy format.”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/context-bloat-eliminator?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to fetch a live webpage and reduce its token footprint before injecting it into an LLM context window. It is especially valuable when working with large documentation pages, news articles, or HTML-heavy sites where raw content would exceed context limits. The BM25 budget mode makes it uniquely suited for query-focused compression when you only need content relevant to a specific topic. Prefer it over generic scrapers when token efficiency and ROI transparency (compression ratio, cost saved) matter to your pipeline.
Side effects
- URL is unreachable or returns non-200 status — endpoint may return an error status
- HTML payload is too large or malformed — distillation may fail or return partial content
- max_tokens set below 20 — rejected by schema validation
- mode=budget used without a query parameter — BM25 ranking has no anchor
- Payment not processed (HTTP 402) — request blocked until x402 micropayment is completed
- Builtin URL alias (builtin://stripe-docs) not recognized — returns error
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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