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AgentDiet X402 Gateway — AI Context Window Distiller
x402
AgentDiet X402 Gateway — AI Context Window Distiller is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Compresses and distills AI agent context windows to reduce token usage by up to 85-91%, paid per-call via x402 in USDC on Base
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing the compressed/distilled output, a 'status' field confirming success ('ok'), and an 'roi_proof' object including 'compression_ratio_pct' (e.g. 91.4%) demonstrating how much the context was reduced.
Example use cases
Trim LLM context before expensive call
“Before I send this 8,000-token context to GPT-4, run it through AgentDiet and compress it as much as possible — I want to see the compression ratio proof so I know how many tokens I saved.”
Reduce agent memory for multi-step workflow
“My A2A workflow is hitting context limits after a few steps — use AgentDiet to distill the accumulated context window down so the next node in the pipeline doesn't overflow.”
Cut LLM API costs on high-volume agent
“I'm running hundreds of LLM calls a day and my token costs are way too high — compress each context window with AgentDiet before sending it to the model and tell me the compression ratio I'm getting.”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/x402-gateway?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent's context window is approaching token limits and you need a fast, deterministic compression step before forwarding to an LLM. Ideal for high-volume agent pipelines where token costs compound across many calls, or multi-step A2A workflows where accumulated context grows unwieldy. Prefer this over manual summarization when you need a verifiable compression ratio proof and deterministic output rather than a probabilistic LLM-generated summary.
Side effects
- Missing required 'input' field returns validation error
- Invalid 'type' value (must be 'http') causes rejection
- Invalid HTTP method enum value causes schema error
- Payment not settled in USDC on Base results in 402 Payment Required
- Empty or malformed query param causes undefined distillation behavior
- Service node unavailable returns non-200 status
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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