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AgentDiet Context Window Compressor
x402
AgentDiet 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 AI context windows by stripping bloat, reducing token count by up to 85-91% for use in A2A/MCP pipelines
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 compressed/distilled context content, a 'status' field ('ok' on success), and a 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4%). The agent receives dramatically fewer tokens representing the same essential information.
Example use cases
Shrink web doc before LLM call
“I'm about to feed this documentation page into my agent but it's way too long — can you compress it using AgentDiet so I only send the essential content and cut the token count by at least 85%?”
Reduce RAG pipeline context cost
“Before I pass this retrieved document chunk to the model, compress it with AgentDiet's context distiller so I'm not wasting tokens on boilerplate and irrelevant text.”
Fit long article into tight context
“This article URL is too long for my context window — use AgentDiet to distill it down to just the meaningful content so I can include it in my prompt without hitting the token limit.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/context-compress?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce token consumption before sending web content or retrieved documents to an LLM, especially in A2A or MCP pipelines where context window limits are a bottleneck. It is ideal for agents that fetch URLs and must summarize or distill content cheaply ($0.001/call) rather than passing raw HTML to an expensive model. Prefer it over general-purpose scrapers when the goal is token reduction rather than structured data extraction.
Side effects
- Invalid or unreachable URL returns an error status
- Unsupported HTTP method causes schema validation failure
- Payment not settled in USDC on Base results in 402 response
- URL content is already minimal — compression ratio may be low
- Network timeout if target URL is slow to respond
- Missing required 'input' field causes request 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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