Cost Visibility for AI Agents

Deploy AI agents without guessing costs. Payloop gives you real-time clarity on where your money goes, down to each action, agent, and customer.

Get Started

Cost Visibility for AI Agents

Deploy AI agents without guessing costs. Payloop gives you real-time clarity on where your money goes, down to each action, agent, and customer.

Get Started

“For anyone starting from scratch, this is a no-brainer — it’s basically Datadog for token tracking.”

Brad Schneider

CEO

Compare Payloop

Usage Analytics

Revenue Attribution

Margin Analysis

Cost per Customer

Cost per Agent

Cost per Model

LangSmith

Usage Analytics

Revenue Attribution

Margin Analysis

Cost per Customer

Cost per Agent

Cost per Model

Helicone

Usage Analytics

Revenue Attribution

Margin Analysis

Cost per Customer

Cost per Agent

Cost per Model

See the true cost of deploying your agents.

Payloop tracks your LLM costs by task, agent, and customer so you can finally see what it really costs to deploy and run your agents. Compare usage across models and providers like OpenAI, Anthropic, and Gemini in one place.

Protect margins and price confidently as you scale.

With real-time cost visibility, you can pick and test the right pricing model, whether it’s cost-plus, token-based, subscription, or outcome-based. Keep margins strong as usage grows, and never worry about your LLM costs outpacing your revenue.

Protect margins and price confidently as you scale.

Protect margins and price confidently as you scale.

Simple integration. Instant visibility.

Add Payloop with just one line of code. Every LLM call you make is automatically wrapped with a transaction ID, classified by task and tool, and tracked in real time. No spreadsheets, no custom logging.

Javascript

Python

import OpenAI from "openai";
import { Payloop } from "payloop";

const client = new OpenAI(...);
const payloop = new Payloop("your-payloop-api-key").openai.register(client);

// Use normally - all calls are automatically tracked
const response = await client.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Hello!" }],
});

Javascript

Python

import OpenAI from "openai";
import { Payloop } from "payloop";

const client = new OpenAI(...);
const payloop = new Payloop("your-payloop-api-key").openai.register(client);

// Use normally - all calls are automatically tracked
const response = await client.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Hello!" }],
});

Javascript

Python

import OpenAI from "openai";
import { Payloop } from "payloop";

const client = new OpenAI(...);
const payloop = new Payloop("your-payloop-api-key").openai.register(client);

// Use normally - all calls are automatically tracked
const response = await client.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Hello!" }],
});