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AgentDiet Context Trimmer
x402
AgentDiet Context Trimmer 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 from a given URL's content, reducing token count by up to 91% for downstream LLM calls.
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 distilled/compressed content, a 'status' field ('ok' on success), and an 'roi_proof' object that includes 'compression_ratio_pct' showing how much token reduction was achieved (e.g. 91.4% compression).
Example use cases
RAG pipeline token cost reduction
“Before I feed this documentation page at https://docs.myproject.com/api-reference into my RAG pipeline, can you run it through the context trimmer using GET mode so I'm not blowing up my token budget?”
Agent-to-agent context handoff
“I need to pass a compressed version of https://news.ycombinator.com/item?id=12345 to my downstream agent — use the context trimmer to strip the bloat out via GET so the handoff context is lean.”
LLM preprocessing for a long webpage
“This page at https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) is too long to drop straight into my prompt — can you distill it with AgentDiet's trimmer so I only send the essential content to the LLM?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/context-trimmer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, cheap ($0.001 USDC) token reduction of a fetched URL's content before passing it to an LLM or RAG system. It is purpose-built for agent-to-agent (A2A) and MCP pipelines where minimizing context size is critical for cost and latency. Prefer it over generic summarization when you want a compression ratio proof (roi_proof) and consistent, reproducible output rather than generative paraphrase.
Side effects
- Invalid or unreachable URL returns an error status
- Missing required 'input' object or 'type'/'method' fields yields a validation error
- Payment not settled in USDC on Base results in 402 Payment Required
- Unsupported HTTP method in the enum causes rejection
- Rate limiting or upstream fetch failure may return non-OK 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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Zero review prompt (fires after every successful call)
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