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AgentDiet Context Window Distiller & Token Compressor
x402
AgentDiet Context Window Distiller & Token Compressor 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 via HTTP execution, reducing token usage by up to 85-91% while preserving semantic fidelity
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 ('ok' on success), and an 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4%). Payments are settled in USDC on Base via x402/L402 protocol at $0.01 per call.
Example use cases
Trim bloated agent memory before LLM call
“My agent has accumulated a huge conversation history and I'm about to hit the token limit — can you compress this context down using AgentDiet's distiller so I can keep the conversation going without losing key information?”
Cut LLM API costs on high-volume pipeline
“I'm running thousands of LLM calls per day and the input tokens are getting expensive — run my standard system prompt and context through AgentDiet to get the 85% compression so I can lower my per-call cost.”
Fit long document context into small model
“I need to feed this long document as context to a smaller model with a 4k token limit — can you use AgentDiet to distill it down to the essential parts so it actually fits?”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to programmatically reduce context window token counts before making downstream LLM calls, especially in high-throughput pipelines where token costs are a concern. It is particularly suited for A2A and B2A workflows using x402/L402 micropayment protocols on Base. Prefer it over manual summarization when deterministic, reproducible compression with a measurable ROI proof metric is required.
Side effects
- Missing required 'input' field returns validation error
- Invalid 'type' value (must be 'http') causes schema rejection
- Empty or malformed query parameter results in no meaningful compression
- Payment failure via x402 (insufficient USDC balance) blocks execution
- Large inputs that exceed node processing capacity may return partial results
- Method enum violation (anything other than GET or POST) causes rejection
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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