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AgentDiet LLMs.txt Context Distiller
x402
AgentDiet LLMs.txt Context Distiller is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Fetches and returns a distilled llms.txt file for a given URL, compressing context by up to 91% for token-efficient AI agent consumption
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with status 'ok', the distilled content in the 'data' field, and an roi_proof object containing the compression_ratio_pct (e.g. 91.4%) achieved by the distillation.
Example use cases
Agent reading a documentation site
“Grab the distilled llms.txt for https://docs.stripe.com so I can load Stripe's docs into my agent's context window without burning through tokens.”
Reducing RAG retrieval payload size
“Before I stuff this URL into my RAG pipeline, distill https://openai.com/research/gpt-4 down to its llms.txt form so I only store the compressed, AI-readable version.”
Fitting third-party content into tight context budget
“I only have about 2,000 tokens left in my context window — can you fetch and compress https://news.ycombinator.com into its distilled llms.txt so it actually fits?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/llms-txt?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest external web content but faces context window constraints — it deterministically compresses content by ~85-91%, making it ideal for RAG pipelines, agent memory loading, and multi-step workflows where token budget is critical. Prefer it over raw web scraping when the goal is token efficiency rather than full fidelity.
Side effects
- Invalid or unreachable target URL returns an error status
- URL returns non-HTML or non-parseable content, leading to empty or minimal distillation
- Payment not settled in USDC on Base causes 402 rejection
- Rate limiting or upstream fetch timeout causes failed response
- Missing required 'input' object or 'method' field causes schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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