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AgentDiet LLM Documentation Distiller (Markdown Generator)
x402
AgentDiet LLM Documentation Distiller (Markdown Generator) is a paid API for AI agents from email-verify-72343955726.us-central1.run.app, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-14).
Fetches and distills web content or documentation into compressed, agent-ready markdown with token-efficiency metrics
Price / call$0.015
Success—
StatusUnknown
How this service works
15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).
Output
Returns a JSON object containing: distilled markdown text under data.content with a title and mode field, plus roi_proof metrics including raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct (e.g. 95.2%), and roi_multiplier (e.g. 67.6x). The agent receives clean, structured markdown ready for downstream LLM consumption alongside proof of token efficiency gains.
Example use cases
Compress API docs for agent pipeline
“Take the full documentation at https://stripe.com/docs/api and distill it down to clean markdown my agent can actually read — I want to see the compression ratio and token savings too.”
Reduce LLM context cost for research
“I'm burning too many tokens sending raw web pages to my LLM. Can you distill https://platform.openai.com/docs/guides/function-calling into lean markdown and tell me the ROI multiplier I'd get?”
Feed scraped content cleanly to downstream agent
“Grab the content from https://docs.uniswap.org and give me a distilled markdown version optimized for agent consumption, along with how many raw tokens you compressed it from.”
Technical details
Endpoint
GEThttps://email-verify-72343955726.us-central1.run.app/v1/llms-generator?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to consume large web pages or documentation with minimal token overhead — especially when context window cost or LLM billing is a concern. It is ideal when you need measurable compression proof (ratio, tokens saved) rather than a raw scrape. Prefer it over generic web scrapers when the output format must be clean markdown optimized for LLM ingestion, or when integrating into a pipeline that charges per token. Less suitable for structured data extraction (JSON tables, schema data) or when the full raw HTML is required.
Side effects
- Target URL is inaccessible or returns non-200 — distillation cannot proceed
- URL points to non-text content (e.g. PDF binary, image) — markdown generation fails
- Source page has bot protection (Cloudflare, CAPTCHA) — content fetch blocked
- Payment of $0.015 USDC via x402 not provided or rejected — HTTP 402 returned
- Very short source page with minimal content — compression ratio near zero, low ROI
- Rate limiting or quota exceeded on the underlying fetch infrastructure
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"mode": "markdown",
"title": "Example Documentation",
"content": "# Example Documentation\nClean agent-ready markdown..."
},
"status": "ok",
"roi_proof": {
"raw_tokens": 14200,
"tokens_saved": 13520,
"roi_multiplier": 67.6,
"distilled_tokens": 680,
"compression_ratio_pct": 95.2
}
}
}Tags
x402
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