AgentDiet LLMs Documentation Distillation Generator

x402

AgentDiet LLMs Documentation Distillation Generator is a paid API for AI agents from company-enrich-72343955726.us-central1.run.app, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-27).

Fetches and distills web content (e.g. LLM/API documentation) into compressed, agent-ready markdown with token savings metrics

Price / call$0.015

Seller volume →—

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 content with a title, a status field, and an roi_proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, and ROI multiplier — giving both the clean content and quantified token efficiency metrics.

Example use cases

Token-efficient API doc ingestion

“Fetch and distill the OpenAI API reference page into compact agent-ready markdown — I need the key details without burning 14,000 tokens every time I reference it.”

Automated research digest for agent pipelines

“Distill this research blog post at https://arxiv.org/abs/2401.00001 into a tight markdown summary I can feed into my agent, and show me how many tokens I'm saving.”

Competitive intelligence page compression

“I want to pull the content from our competitor's pricing page and compress it into clean markdown — can you distill it and tell me the compression ratio?”

Technical details

Endpoint

GEThttps://company-enrich-72343955726.us-central1.run.app/v1/llms-generator?utm_source=zero.xyz

When to prefer

Choose this endpoint when an AI agent needs to ingest web or documentation content but must minimize token usage — ideal for pipelines where source material is verbose and token budgets are tight. Prefer it over raw web scraping when you also want quantified compression metrics (ROI multiplier, tokens saved) alongside the content. Best suited for LLM documentation, API references, blog posts, and research pages rather than structured data extraction tasks.

Side effects

Target URL is unreachable or returns non-200 — distillation fails with error status
Content is behind authentication wall — returns empty or partial extraction
Payment not received via x402/HTTP 402 — request rejected before processing
Source content is too short or already minimal — low compression ratio, minimal token savings
Rate limiting or server-side quota exceeded — returns error response

Input

Schema · Request body

Field	Type	Description
input	object
output	object

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
    }
  }
}

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