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AgentDiet Prompt Compress — Context Window Token Reducer
x402
AgentDiet Prompt Compress — Context Window Token Reducer 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 a URL's content by stripping token bloat, reducing context window usage by up to 91% before passing it to an LLM
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 content, a 'status' field ('ok' on success), and a 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4%).
Example use cases
Shrink news article for LLM summarization
“That article at https://techcrunch.com/2024/01/some-long-piece is too big for my context window — can you run it through AgentDiet's prompt-compress to strip the bloat so I can summarize it without hitting token limits?”
RAG pipeline context cost reduction
“Before I index this documentation page at https://docs.myproduct.com/reference/api, compress it with AgentDiet so I'm only storing the meaningful tokens — I want to see the compression ratio it achieves.”
Fit competitor page into agent prompt
“I need to analyze https://competitor.com/pricing but the page is huge — use AgentDiet to compress it down so the whole thing fits in a single prompt without losing the important content.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/prompt-compress?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to process a web URL whose content is too large to fit efficiently in an LLM context window, and you want deterministic token reduction (up to 91%) paid per-call at $0.001 USDC. Prefer it over generic scrapers when token economy is the primary concern and you need a compression ratio proof returned alongside the content.
Side effects
- URL unreachable or invalid — likely returns an error status instead of 'ok'
- URL points to non-HTML binary content that cannot be compressed meaningfully
- Missing required 'input' fields (type or method) — schema validation error
- Rate limiting or payment failure via x402/USDC settlement on Base
- Content behind authentication walls that the service cannot access
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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