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from $50.00 / 1,000 audit — up to 100k tokens

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AI Agent Cost & Token Savings Auditor

Try for free

Find wasted tokens, cache misses and unnecessary agent cost — without sending prompts or content. Free estimate first; the full audit is charged by trace size.

Pricing

from $50.00 / 1,000 audit — up to 100k tokens

Rating

0.0

(0)

Developer

Marko Ciric

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Developer tools

You can access the AI Agent Cost & Token Savings Auditor 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "auditCapsule": {
12        "schema": "audit-capsule/1.0",
13        "runId": "run_demo_001",
14        "durationMs": 18260,
15        "events": [
16            {
17                "schema": "runtime-event/1.0",
18                "eventId": "evt_1",
19                "runId": "run_demo_001",
20                "timestampMs": 1757000000000,
21                "type": "MODEL_CALL",
22                "nodeId": "planner",
23                "nodeType": "AGENT",
24                "provider": "anthropic",
25                "model": "claude-sonnet-5",
26                "inputTokens": 2100,
27                "cachedInputTokens": 0,
28                "cacheWriteTokens": 46000,
29                "outputTokens": 520,
30                "latencyMs": 2140,
31                "status": "SUCCESS"
32            },
33            {
34                "schema": "runtime-event/1.0",
35                "eventId": "evt_2",
36                "runId": "run_demo_001",
37                "timestampMs": 1757000004200,
38                "type": "MODEL_CALL",
39                "nodeId": "researcher",
40                "nodeType": "AGENT",
41                "provider": "anthropic",
42                "model": "claude-sonnet-5",
43                "inputTokens": 1400,
44                "cachedInputTokens": 46000,
45                "cacheWriteTokens": 0,
46                "outputTokens": 880,
47                "latencyMs": 1310,
48                "status": "SUCCESS"
49            },
50            {
51                "schema": "runtime-event/1.0",
52                "eventId": "evt_3",
53                "runId": "run_demo_001",
54                "timestampMs": 1757000009600,
55                "type": "MODEL_CALL",
56                "nodeId": "researcher",
57                "nodeType": "AGENT",
58                "provider": "anthropic",
59                "model": "claude-sonnet-5",
60                "inputTokens": 1900,
61                "cachedInputTokens": 46800,
62                "cacheWriteTokens": 0,
63                "outputTokens": 640,
64                "latencyMs": 1180,
65                "status": "SUCCESS"
66            },
67            {
68                "schema": "runtime-event/1.0",
69                "eventId": "evt_4",
70                "runId": "run_demo_001",
71                "timestampMs": 1757000014800,
72                "type": "MODEL_CALL",
73                "nodeId": "writer",
74                "nodeType": "AGENT",
75                "provider": "anthropic",
76                "model": "claude-sonnet-5",
77                "inputTokens": 49300,
78                "cachedInputTokens": 0,
79                "cacheWriteTokens": 0,
80                "outputTokens": 1240,
81                "latencyMs": 3460,
82                "status": "SUCCESS"
83            }
84        ]
85    }
86};
87
88// Run the Actor and wait for it to finish
89const run = await client.actor("truesoft/ai-agent-cost-token-savings-auditor").call(input);
90
91// Fetch and print Actor results from the run's dataset (if any)
92console.log('Results from dataset');
93console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
94const { items } = await client.dataset(run.defaultDatasetId).listItems();
95items.forEach((item) => {
96    console.dir(item);
97});
98
99// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

AI Agent Cost & Token Savings Auditor API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use AI Agent Cost & Token Savings Auditor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

AI Agent Cost & Token Savings Auditor API in Python

AI Agent Cost & Token Savings Auditor API through CLI

AI Agent Cost & Token Savings Auditor OpenAPI definition

AI Agent Cost & Token Savings Auditor API

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