Pricing

from $0.01 / 1,000 processed usage records

AI Cost Audit & Anomaly Detection

Audit and explain your LLM/API usage costs from CSV or JSON. Calculates token-based cost per model, groups by model/day/feature, detects spikes and expensive-model patterns, and outputs a dataset plus summary.json and report.md. No external APIs required.

Pricing

from $0.01 / 1,000 processed usage records

Rating

0.0

(0)

Developer

Hayder Al-Khalissi

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Automation

Developer tools

You can access the AI Cost Audit & Anomaly Detection programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "rawData": [
<    {
<      "timestamp": "2026-02-01T10:00:00Z",
<      "model": "gpt-4o-mini",
<      "prompt_tokens": 500,
<      "completion_tokens": 200,
<      "feature": "chatbot",
<      "user_id": "user123"
<    }
<  ],
<  "priceTable": {
<    "gpt-4o": {
<      "inputPer1K": 0.0025,
<      "outputPer1K": 0.01
<    },
<    "gpt-4o-mini": {
<      "inputPer1K": 0.00015,
<      "outputPer1K": 0.0006
<    },
<    "claude-3-5-sonnet": {
<      "inputPer1K": 0.003,
<      "outputPer1K": 0.015
<    }
<  },
<  "anomalyDetection": {
<    "enabled": true,
<    "thresholdMultiplier": 2.5,
<    "groupByFeature": false
<  },
<  "enforcement": {
<    "enabled": false,
<    "maxDailyCost": 100,
<    "action": "warn"
<  },
<  "idempotency": {
<    "enabled": false,
<    "ttlHours": 168,
<    "allowedLateHours": 48
<  },
<  "n8n": {
<    "enabled": false,
<    "source": {
<      "type": "raw",
<      "rawEvents": []
<    },
<    "mapping": {
<      "workflowIdField": "workflowId",
<      "workflowNameField": "workflowName",
<      "nodeIdField": "nodeId",
<      "nodeNameField": "nodeName",
<      "environmentField": "env",
<      "tenantIdField": "tenantId",
<      "userIdField": "userId",
<      "runIdField": "runId",
<      "eventIdField": "eventId",
<      "timestampField": "timestamp"
<    },
<    "defaults": {
<      "environment": "prod"
<    },
<    "derive": {
<      "workflowNameFrom": "workflowId",
<      "nodeIdFrom": "nodeName",
<      "hashPrompt": true
<    }
<  },
<  "privacy": {
<    "redactIdsInLogs": true,
<    "redactStrategy": "partial"
<  },
<  "retention": {
<    "rawDays": 90,
<    "aggregateDays": 365
<  },
<  "webhookUrl": ""
<}' |
<apify call quantifiable_bouquet/ai-cost-audit-anomaly-detection --silent --output-dataset

LLM Cost Audit & Anomaly Detection (CSV/JSON) API through CLI

The Apify CLI is the official tool that allows you to use AI Cost Audit & Anomaly Detection locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using NPM:

$npm install -g apify-cli

Other API clients include:

AI Cost Audit & Anomaly Detection API in Python

AI Cost Audit & Anomaly Detection API in JavaScript

AI Cost Audit & Anomaly Detection OpenAPI definition

AI Cost Audit & Anomaly Detection API

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