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AgentDiet Web URL Distiller
AgentDiet Web URL Distiller is a paid API for AI agents from mcp-security.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches and distills a web URL or raw HTML into compact, token-efficient agent-ready content using BM25 budget control and multiple extraction 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-security.agentdiet.dev/v1/context-diet)
Output
Returns a JSON object with a 'data' field containing the distilled content (Markdown, structured JSON, skeleton outline, or BM25 budget excerpt depending on mode), a 'roi_proof' object showing raw vs. distilled token counts, tokens saved, compression ratio percentage, LLM cost saved in USD, and an ROI multiplier, plus optional cache hit/miss status and billing details.
Example use cases
Grounding agent on live documentation
“Fetch and distill https://docs.openai.com/api-reference into structured markdown so I can reference the key endpoints without blowing my context window.”
Budget-constrained research extraction
“Distill https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) in budget mode with a max of 500 tokens, focusing on the query 'attention mechanism'.”
Structured table extraction from a webpage
“Distill https://coinmarketcap.com/all/views/all/ in structured mode so I can get the data tables and metadata in clean JSON without all the surrounding HTML noise.”
Technical details
Endpoint
GEThttps://mcp-security.agentdiet.dev/v1/context-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs to read a web page but must stay within a strict token budget, or when you want to extract only the most relevant portions of a page relative to a specific query using BM25 scoring. It is especially valuable when repeatedly reading long documentation pages, news articles, or HTML-heavy pages where raw content would consume excessive LLM context. Prefer it over generic web scrapers when you need token-efficiency metrics (ROI proof, compression ratio) alongside the content itself.
Side effects
- Invalid or unreachable URL returns an error status
- URL blocked by robots.txt or anti-scraping protection causes fetch failure
- mode parameter not in allowed enum causes validation error
- max_tokens below minimum of 20 causes schema validation rejection
- Payment failure (HTTP 402) if x402 micropayment is not honored
- Empty or malformed HTML input when using the html parameter directly
- Timeout when the target URL takes too long to respond
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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