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AgentDiet B2A Router — Context Window Distiller
x402
AgentDiet B2A Router — Context Window 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).
Compresses and distills AI context windows via a query-driven B2A/A2A routing node, reducing token usage by up to 91% and returning distilled data with a compression ratio proof.
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 a 'data' field containing the distilled content, a 'status' field ('ok' on success), and a 'roi_proof' object containing 'compression_ratio_pct' (e.g. 91.4) proving how much the context was compressed.
Example use cases
Shrink RAG context before LLM call
“I'm pulling a lot of documents from my vector store and the context window is getting huge — can you run it through AgentDiet to distill it down and tell me the compression ratio before I send it to the model?”
Cut token costs in agentic pipeline
“My AI agent is burning through tokens because the context keeps growing — use AgentDiet's de-bloater to compress it and show me how much we saved.”
Validate context fits model limit
“Before I call GPT-4, pass my retrieved context through the AgentDiet router with a GET query to compress it and confirm it fits within my token budget — show me the compression proof.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/b2a-router?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent or pipeline needs to reduce context window size before calling a large language model, especially when token costs or context length limits are a concern. It is particularly useful in RAG pipelines where retrieved documents are verbose and need distillation. Prefer it over manual truncation when you need a provable compression ratio and deterministic reduction via a paid micro-transaction model ($0.01 USDC per call via x402 on Base).
Side effects
- Missing required 'input' field returns validation error
- Invalid 'type' (must be 'http') causes rejection
- Unsupported HTTP method in enum causes schema failure
- Payment not settled in USDC on Base results in 402 response
- Empty or malformed query string may return low compression or error
- Upstream RAG node unavailable causes timeout or 5xx
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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