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AgentDiet System Prompt Guard
x402
AgentDiet System Prompt Guard is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).
Scans and guards system prompts for token bloat, compressing and distilling context to reduce token usage by up to 91%
Price / call$0.005
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 status field ('ok'), a data object containing the compressed or guarded prompt output, and an roi_proof object showing the compression_ratio_pct (e.g. 91.4%) achieved by the distillation process.
Example use cases
Trim bloated agent system prompt
“My AI agent's system prompt is over 3,000 tokens and I'm hitting context limits — can you pass it through the system prompt guard and compress it down as much as possible, then tell me how much I saved?”
Pre-flight prompt audit before deployment
“Before I deploy this new customer service agent, run its system prompt through AgentDiet's guard to check for token bloat and show me the compression ratio so I know if it needs trimming.”
Cost reduction check for high-volume agent
“I'm running thousands of LLM calls a day and my system prompt is eating 40% of my context window — can you distill this prompt text and tell me what percentage of tokens I can cut?”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/system-prompt-guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce token consumption in AI agent system prompts or context windows, especially before high-volume deployments where per-call LLM costs matter. It is particularly useful when system prompts have grown organically and contain redundant instructions, and you need a deterministic, measurable compression ratio rather than a manual edit. Prefer this over manual prompt editing when you need proof-of-ROI metrics or when operating within the x402 micropayment ecosystem on Base.
Side effects
- Missing required 'input' field returns validation error
- Invalid method enum value (not GET or POST) causes rejection
- Empty or missing 'text' query parameter may return unprocessed result
- Payment not settled in USDC on Base causes 402 response
- Oversized prompt text may hit payload limits
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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