# Detect identical retries after AI-agent failures

**Use case:** 

Find repeated failed tool calls where an agent retries the same input without an observed state change.

## Input

```json
{
  "traces": [
    {
      "traceId": "identical-retry",
      "spans": [
        {
          "name": "tool:search",
          "tool_name": "search",
          "tool_input": {
            "q": "alpha"
          },
          "statusCode": "ERROR"
        },
        {
          "name": "tool:search",
          "tool_name": "search",
          "tool_input": {
            "q": "alpha"
          },
          "statusCode": "ERROR"
        },
        {
          "name": "tool:search",
          "tool_name": "search",
          "tool_input": {
            "q": "alpha revised"
          },
          "statusCode": "OK"
        }
      ]
    }
  ],
  "repeatThreshold": 2,
  "maxItems": 1000
}
```

## Output

```json
{
  "traceId": {
    "label": "Trace",
    "format": "string"
  },
  "errorEventCount": {
    "label": "Errors",
    "format": "integer"
  },
  "exactImmediateRetries": {
    "label": "Exact retries",
    "format": "integer"
  },
  "repeatedFailureSignatureCount": {
    "label": "Repeated failure clusters",
    "format": "integer"
  },
  "longestErrorStreak": {
    "label": "Longest streak",
    "format": "integer"
  },
  "terminalFailure": {
    "label": "Terminal failure",
    "format": "boolean"
  },
  "headroomDetected": {
    "label": "Failure pressure",
    "format": "boolean"
  },
  "hypotheses": {
    "label": "Replay experiments",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Agent Retry Loop Auditor](https://apify.com/firstrate/agent-retry-loop-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/firstrate/agent-retry-loop-auditor.md) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/firstrate/agent-retry-loop-auditor.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).