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AgentDiet RAG Token Diet — Context Window Compressor
x402
AgentDiet RAG Token Diet — Context Window Compressor is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Compresses and distills a URL's content into a token-efficient representation, reducing context window bloat by up to 91% for AI agents.
Price / call$0.001
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 a 'data' field containing the distilled/compressed content, a 'status' field confirming success, and an 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%) achieved — quantifying exactly how much token bloat was removed.
Example use cases
RAG pipeline context compression
“I need to feed this documentation page at https://docs.myproject.io/api-reference into my RAG pipeline but it's way too long — can you run it through the AgentDiet token diet compressor to shrink it down before indexing?”
LLM cost reduction for web scraping
“I'm pulling in a bunch of web pages to summarize but the token costs are killing me — can you compress https://news.ycombinator.com using the AgentDiet context distiller so I only pass the essential content to the LLM?”
Agent context window management
“My AI agent is hitting context window limits when reading https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) — can you use AgentDiet's RAG diet endpoint to distill it down to the important bits using GET mode?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/rag-token-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web content but faces context window constraints or high token costs — especially in RAG pipelines, multi-step agent workflows, or any scenario where raw HTML/text from a URL is too verbose. It is purpose-built for agent-to-agent (A2A) and machine-to-agent contexts, supports micropayment via x402/USDC on Base, and provides a quantified compression ratio as proof of ROI, making it ideal for cost-conscious automated pipelines.
Side effects
- Invalid or unreachable URL returns an error status
- Unsupported HTTP method (not GET or POST) causes rejection
- Payment not settled in USDC on Base results in 402 response
- Missing required 'input' object or 'type'/'method' fields returns validation error
- Timeout if target URL is slow to respond
- Very short or already-minimal content may yield low compression ratio
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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