# AI Agent Cost Auditor — Find Token Waste & Savings

**Use case:** 

Analyze an AI agent run for wasted tokens, cache misses, duplicate tool calls, oversized context, and unnecessary execution cost. Get a prioritized savings report with estimated or verified impact — without sending prompts, responses, or document content.

## Input

```json
{
  "mode": "audit",
  "auditCapsule": {
    "schema": "audit-capsule/1.0",
    "runId": "run-example",
    "events": [
      {
        "schema": "runtime-event/1.0",
        "eventId": "e1",
        "runId": "run-example",
        "timestampMs": 1757000000000,
        "type": "MODEL_CALL",
        "model": "claude-sonnet-5",
        "inputTokens": 2000,
        "cachedInputTokens": 40000,
        "cacheWriteTokens": 0,
        "outputTokens": 500
      }
    ]
  }
}
```

## Output

```json
{
  "headline": {
    "label": "Summary",
    "format": "string"
  },
  "totalTokens": {
    "label": "Tokens analysed",
    "format": "integer"
  },
  "wastedTokens": {
    "label": "Avoidable tokens",
    "format": "integer"
  },
  "wastedPercent": {
    "label": "Avoidable (%)",
    "format": "number"
  },
  "savedUsd": {
    "label": "Avoidable (USD, approx.)",
    "format": "number"
  },
  "topOpportunity": {
    "label": "Biggest issue",
    "format": "string"
  },
  "evidence": {
    "label": "Evidence grade",
    "format": "string"
  },
  "pricingCoveragePercent": {
    "label": "Pricing coverage (%)",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Agent Cost & Token Savings Auditor](https://apify.com/truesoft/ai-agent-cost-token-savings-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/truesoft/ai-agent-cost-token-savings-auditor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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/truesoft/ai-agent-cost-token-savings-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).