Delx Control Coverage is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-13).
Measures how well a set of implemented governance controls covers a required set, returning deterministic JSON gap analysis.
Measure implemented governance controls against a required set. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authorization and produc…
Returns a deterministic JSON object containing coverage metrics (e.g. coverage ratio or percentage), a list of controls that are matched/covered, a list of missing controls not yet implemented, and possibly a gap count — all computed locally and statelessly with no data retention.
POSThttps://api.delx.ai/api/v1/x402/control-coverageUse this endpoint when you need a fast, deterministic, stateless, local computation of control coverage gaps — particularly as a preflight or analysis step inside an enterprise agent workflow before committing to a policy, security, data, or compliance decision. Prefer it over manual gap analysis or heavyweight GRC tools when you need machine-readable JSON output at low cost ($0.003 USDC) with no data retention or external dependencies.
| Field | Type | Description |
|---|---|---|
| required | array | Input field: required. |
| implemented | array | Input field: implemented. |
{
"type": "json",
"example": {
"schema": "delx/util-control-coverage/v1",
"missing": [
"approval"
],
"required_count": 3,
"coverage_percent": 66.6667,
"implemented_count": 2
}
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