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SignalHarness Agent Action Risk Indicator
x402
SignalHarness Agent Action Risk Indicator is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Analyzes a proposed agent action described in JSON and returns a risk assessment with warnings about potential hazards or unsafe patterns.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a status field (e.g. 'succeeded'), an analysis_json string with the risk findings, a list of warnings about the caller-supplied data, and an evidence_scope field indicating whether the analysis is based on caller-supplied data. Also includes a cryptographic receipt with payment metadata, a resultSha256 hash for integrity verification, and artifacts array.
Example use cases
Pre-execution safety gate for agent tools
“I'm about to let my AI agent call an external API to delete a database record — can you check this action payload for risk before it runs? Here's the JSON: {"tool": "db_delete", "table": "users", "where": {"id": "all"}}”
Compliance screening for financial agent actions
“My trading agent wants to place a large sell order — run a risk indicator check on this action before I approve it: {"tool": "place_order", "side": "sell", "quantity": 10000, "asset": "BTC", "urgency": "immediate"}”
Detecting prompt injection in agent pipelines
“I think a user message might be trying to hijack my agent — can you analyze this action my agent is about to take and flag anything that looks like a prompt injection or unsafe command? Payload: {"tool": "execute_shell", "command": "rm -rf /"}”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_action_risk_indicator/invokeWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call safety gate before an AI agent executes a potentially risky action — especially in autonomous pipelines where human oversight is limited. It is well-suited for catching dangerous patterns (e.g. destructive commands, financial transfers, prompt injections) in agent tool calls before they are executed. Prefer this over building custom rule-based filters when you want an API-native, agent-friendly risk signal at $0.01 per check.
Side effects
- Malformed or non-JSON request_json input causes validation failure
- Payload exceeds 65536 character limit returns an error
- Service returns warnings but still succeeds — warnings do not block execution
- Risk analysis is limited to caller-supplied data scope and cannot verify external state
- Empty or minimal JSON payloads may yield low-confidence or generic warnings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request_json | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"service_id": "agent_action_risk_indicator",
"analysis_json": "{\"example\":\"schema-valid caller-supplied data\"}",
"evidence_scope": "caller_supplied_data"
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "agent_action_risk_indicator",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "9414c50487885c1613ce2a0dd99929179606822da120f58d3cd0329e5d12f478",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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