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Web URL Distillation & RAG Token Compressor
Web URL Distillation & RAG Token Compressor 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 accepts 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://email-verify.agentdiet.dev/v1/rag-token-diet)
Output
Returns a distilled data object containing Markdown, structured JSON tables/metadata, a skeleton outline, or a BM25-focused excerpt depending on mode; plus an ROI proof object showing raw vs distilled token counts, compression ratio percentage, tokens saved, estimated LLM cost saved in USD, and ROI multiplier; optionally includes billing details and cache hit/miss status with latency.
Example use cases
RAG pipeline context compression
“Pull the content from https://openai.com/blog/gpt-4 and distill it into clean markdown so I can feed it into my RAG pipeline without blowing up my context window.”
Budget-constrained topic extraction
“I need you to fetch https://docs.aws.amazon.com/s3/index.html, focus on the topic 'bucket policies', and return only the most relevant passages — cap it at 300 tokens using budget mode.”
Structured data extraction from webpage
“Take https://en.wikipedia.org/wiki/OpenAI and distill it in structured mode so I get the key tables and metadata as JSON rather than raw text.”
Technical details
Endpoint
GEThttps://email-verify.agentdiet.dev/v1/rag-token-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compress web content into a small token footprint before passing it to an LLM, especially in RAG or agentic pipelines where context window size and LLM cost are constraints. It is superior to raw web scraping when you need quantified compression metrics and BM25-guided relevance filtering. Prefer it over general-purpose scrapers when you need multiple output modes (markdown, structured, skeleton, budget) and built-in token budget enforcement.
Side effects
- URL unreachable or returns non-200 status — fetch fails with error status
- max_tokens set below minimum of 20 — rejected with validation error
- BM25 query provided without mode=budget — query may be silently ignored
- Raw HTML too large to process within budget — may be truncated or error
- Payment not provided or insufficient — HTTP 402 payment required response
- Invalid URL format — validation error on required url parameter
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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