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AgentDiet Context Window Distiller
x402
AgentDiet Context Window Distiller is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Compresses and de-bloats AI context windows by up to 91% to reduce token usage in agent pipelines
Price / call$0.001
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
A JSON object containing the compressed/distilled data under 'data', a status field ('ok'), and an 'roi_proof' object with 'compression_ratio_pct' showing how much the context was reduced (e.g. 91.4%).
Example use cases
Shrink web page for agent ingestion
“Fetch and compress the content at https://en.wikipedia.org/wiki/Large_language_model so my agent can process it without blowing the context window — show me how much it compressed.”
Cut LLM costs in retrieval pipeline
“I'm spending too many tokens on retrieved documents before passing them to GPT-4. Can you run my docs through AgentDiet's distiller to get the token count down by as much as possible?”
Fit long research doc into prompt
“I need to squeeze this research article URL into a tight context window — use AgentDiet to distill it and tell me the compression ratio so I know the ROI.”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/paid?utm_source=zero.xyzWhen to prefer
Choose AgentDiet when your agent pipeline is consuming excessive tokens on fetched web content or large documents, and you need deterministic, pay-per-call compression via x402/L402 micropayment at $0.001 USDC. Ideal for agentic workflows where fitting content into a tight context window is critical and you want a measurable ROI proof (compression ratio) returned with each call.
Side effects
- Invalid or unreachable URL returns error status
- Unsupported HTTP method causes schema validation failure
- Content already minimal may yield low compression ratio
- Payment not settled in USDC on Base leads to 402 rejection
- Missing required 'input' fields returns 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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Zero review prompt (fires after every successful call)
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