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AIBrake Agent Safety Check
x402
AIBrake Agent Safety Check is a paid API for AI agents from api.aibrake.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Evaluates a proposed AI agent action for safety risks including loop detection, retry storms, and model cost overruns, returning a decision to allow, warn, block, or require confirmation
Price / call$0.005
Success—
StatusUnknown
How this service works
Agent safety for paid AI agents — loop detection, model stop-loss, retry-storm catch, and unverified-deploy block. Live x402 API at $0.005 per check, 18× ROI on average. Stops stale retries, same-tool loops, and premium-model burn before the next expensive step. Privacy-first. <50ms P95.
Output
Returns a structured safety decision (allow / warn / require_confirmation / block / uncertain) with a 0–100 risk score, risk level label, detected behavioral pattern (e.g. stale_context_retry_storm), matched rule names, confidence score, suggested corrective action type, and a projected USD savings estimate if the action is halted.
Example use cases
Example prompt
“Before I call GPT-4o again for attempt #7 on this same failing task that has cost $0.84 so far with no new evidence gathered, check if I should proceed — my actor type is 'llm_agent', the next action type is 'llm_call', estimated cost is $0.18 USD, and my goal is to extract structured data from a PDF.”
Technical details
Endpoint
GEThttps://api.aibrake.dev/x402/v1/checkWhen to prefer
Use AIBrake when you are operating an autonomous or semi-autonomous AI agent that makes paid API calls (LLM inference, tool calls, deploys) and you want a fast, cheap ($0.005) pre-flight safety check before each expensive step. Ideal when agents may get stuck in retry loops, risk exhausting a budget, or trigger unverified deploys. Prefer this over manual rule-writing or no-op checks when you need sub-50ms latency, pattern-based detection (loop, storm, stale context), and ROI-positive cost savings for paid agentic workflows.
Side effects
- Missing required fields (actor.type or next_action.estimated_cost) returns a 400 validation error
- Payment not included or insufficient USDC causes 402 Payment Required
- Ambiguous or incomplete history may result in an 'uncertain' decision with low confidence
- Network timeouts are rare given <50ms P95 but possible under high load
- Malformed input schema returns parse error without a safety decision
Input
{
"input": {
"actor": {
"id": "agent-001",
"name": "TestAgent",
"type": "agent",
"runtime": "python-3.11"
},
"spend": {
"currency": "USD",
"total_spent": 0.5
},
"history": {
"last_action_type": "search",
"previous_actions": 1
},
"objective": {
"id": "obj-123",
"goal": "Process user request",
"budget": {
"amount": 1,
"currency": "USD",
"hard_limit": true
}
},
"next_action": {
"type": "model_inference",
"model": "gpt-4",
"reason": "Generate summary for user query",
"provider": "openai",
"estimated_cost": {
"amount": 0.03,
"currency": "USD"
}
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"docs": "https://aibrake.dev",
"openapi": "https://api.aibrake.dev/v1/meta",
"payment": {
"price": "$0.005 per check decision",
"network": "Base mainnet",
"protocol": "x402"
},
"service": "AIBrake — Agent safety for paid AI agents",
"endpoint": "POST https://api.aibrake.dev/x402/v1/check",
"description": "Agent safety for paid AI agents — loop detection and model stop-loss. POST with a SpendingGuardCheckInput payload to get one decision per request.",
"primary_mode": "stale_context_retry_storm",
"supported_modes": [
"stale_context_retry_storm",
"same_tool_retry_loop",
"model_escalation_without_evidence",
"objective_drift",
"task_budget_breach",
"unverified_success_assertion"
]
}Schema · Response
{
"type": "json",
"example": {
"reason": "Attempt #7 on the same exception: 6 prior repeats with no evidence gathered in any attempt. Another paid retry is unlikely to produce a different result without a context refresh.",
"pattern": "stale_context_retry_storm",
"decision": "require_confirmation",
"confidence": 0.9,
"risk_level": "critical",
"risk_score": 100,
"matched_rules": [
"failure_signal_present",
"same_failure_count_high",
"no_new_evidence_since_last_attempt"
],
"policy_version": "policy@0.1.0",
"detector_version": "stale_context_retry_storm@0.1.0",
"suggested_action": {
"type": "context_refresh"
},
"projected_savings": {
"basis": "projected_future_attempts",
"currency": "USD",
"amount_usd": 1.26
},
"recommended_policy": "ask_human"
}
}Tags
x402
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