# DelX Incident Root Cause Analysis

> DelX Incident Root Cause Analysis is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Generates operator-ready root cause analysis for incidents, including evidence, corrective actions, and prevention steps.

## Facts

- Endpoint: POST https://api.delx.ai/api/v1/premium/incident-rca
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/api-delx-ai-8decb053
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L-wF1S7qYEPrBu_W228Wy

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability api-delx-ai-8decb053 -d '<json body>'
```

Example prompt: Our payment processing agent has been looping and failing to complete transactions for the past 20 minutes — can you run a root cause analysis and give me the evidence, corrective actions, and steps to prevent this from happening again?

## When to prefer this

Choose this endpoint when you need a structured, operator-ready RCA with explicit evidence, corrective actions, and prevention steps — especially for AI agent incidents like looping, drifting, or failing agents. Prefer over generic LLM prompting when you need consistent, actionable incident documentation suitable for handoff or post-mortem review.

## Known failure modes

- Insufficient incident context leads to vague or incomplete RCA
- Missing system state or logs results in speculative analysis
- Malformed request body returns 400 validation error
- Payment not included or insufficient USDC results in 402 payment required
- Rate limiting or service unavailability returns 503

## How this service works

Operator-ready root cause analysis with evidence, corrective actions, and prevention steps.

## Output

Returns a structured, operator-ready root cause analysis report containing identified root cause with supporting evidence, immediate corrective actions to resolve the incident, and long-term prevention steps to avoid recurrence. Formatted for both human operators and AI agent consumption.

## Example request

```json
{
 "focus": "latency",
 "session_id": "test-session-001",
 "incident_summary": "Application experienced elevated response times during peak traffic"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/api-delx-ai-8decb053/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.delx.ai](https://www.zero.xyz/host/api.delx.ai/llms.txt)