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Web URL Context Compressor (AgentDiet)
Web URL Context Compressor (AgentDiet) 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 distills it into compact, agent-ready tokens 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-compiler.agentdiet.dev/v1/context-compress)
Output
Returns a 'data' object containing the distilled content (Markdown text, structured JSON tables/metadata, skeleton outline, or BM25-ranked excerpt depending on mode), along with an roi_proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD. Also includes optional billing and cache metadata.
Example use cases
Stripe docs for agent context
“Grab the Stripe docs at https://stripe.com/docs/api and compress them into structured markdown under 800 tokens so my agent can reference them without blowing the context window.”
Research summary from news article
“Distill this news article URL https://techcrunch.com/2024/06/01/openai-funding into a skeleton outline so I can quickly scan the key points without reading the whole thing.”
BM25-focused excerpt from product page
“Fetch https://www.example.com/pricing and extract only the parts relevant to 'enterprise plan features' using budget mode with a max of 300 tokens.”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/context-compress?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web page content but must stay within a strict LLM token budget, or when you want BM25-ranked relevance filtering to surface only the most pertinent excerpt from a URL. It is especially valuable when calling LLMs repeatedly against web content and needing to minimize token costs, or when you want clean structured/markdown output instead of raw HTML noise. Prefer this over generic scrapers when token accounting and compression ROI metrics are needed.
Side effects
- Invalid or unreachable URL returns an error status
- URL behind authentication/paywalls may return incomplete or empty distillation
- max_tokens below minimum (20) triggers a validation error
- mode=budget without a query may produce generic rather than focused output
- Large or slow-loading pages may increase latency or timeout
- Raw HTML injection with malformed markup may degrade output quality
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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