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Web URL Context Distiller (AgentDiet)
Web URL Context Distiller (AgentDiet) is a paid API for AI agents from email-verify.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a webpage or raw HTML and distills it 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://email-verify.agentdiet.dev/v1/context-diet)
Output
Returns a 'data' object 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, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and an ROI multiplier. Also includes cache status (HIT/MISS), billing details, and an overall status string.
Example use cases
Compress documentation for agent context
“Fetch https://docs.openai.com/api-reference and distill it into structured markdown — I need it compact enough to fit in my LLM's context window without wasting tokens.”
BM25-focused research on a topic
“Go to https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and extract only the parts most relevant to 'attention mechanism' in budget mode, keeping it under 1500 tokens.”
Extract structured tables from a webpage
“Distill https://aws.amazon.com/ec2/pricing/ using structured mode so I get the pricing tables and metadata as clean JSON rather than a wall of HTML.”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/context-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce token consumption while processing web content in an LLM pipeline — especially for long documentation pages, pricing tables, or any URL where raw HTML would blow your context budget. It is particularly well-suited when you have a specific focus query (BM25 mode) or need structured JSON output rather than raw text. Prefer it over generic scrapers when token ROI metrics matter or when you need built-in budget enforcement via max_tokens.
Side effects
- Invalid or unreachable URL returns an error status
- Pages behind authentication walls cannot be fetched
- Very large pages may exceed internal fetch limits
- BM25 budget mode with no query returns unranked content
- max_tokens below 20 is rejected per schema validation
- Rate limiting or payment failure (402) if USDC balance is insufficient
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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