# GOAT

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/goat
- **Dataset:** https://optimly.ai/brand/goat.json
- **Markdown:** https://optimly.ai/brand/goat/llms.txt
- **Official website:** https://goat.ai
- **Slug:** goat
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** GOAT directly pays teams for contributing their production LLM traces, offering financial incentives (cashback in USDC). It focuses on measuring actual, live AI performance using real-world telemetry, rather than synthetic benchmarks. The platform ensures data privacy through encryption, segregation, and a robust redaction process before making it available for research. It also hosts a unique live benchmark (PolymarketBench) where frontier LLMs act as autonomous trading agents on Polymarket.
Source: Brand's website (https://goat.ai) · 2026-10-04

- **Description:** GOAT measures the real-world performance of AI models, specifically Large Language Models (LLMs), in production. It incentivizes teams by offering cashback in USDC for contributing their LLM production traces/telemetry. This collected data powers independent third-party research and a live benchmark called PolymarketBench, which tracks the performance of various frontier LLMs as autonomous trading agents.
Source: Brand's website (https://goat.ai) · 2026-10-04

## Offerings

- **Core capabilities:**
  - A platform for collecting and analyzing production LLM traces
  - providing cashback incentives for data contributions
  - and powering a live LLM performance benchmark (PolymarketBench) and academic research. Includes a command-line interface (goatai-cli) for integration.
Source: Brand's website (https://goat.ai) · 2026-10-04

- **Pricing:** Contributors receive up to 10% cashback (in USDC) on their LLM output-token spend for sharing production traces. The platform itself appears to be free for contributors who are paid for their data.
Source: Brand's website (https://goat.ai) · 2026-10-04

## Audience

- **Target industry:** Organizations and developers running LLMs in production (e.g., using Claude, Cursor, Codex, Antigravity) who want to monitor performance and contribute to AI research; AI researchers, academic institutions, and industry labs seeking real-world, unbiased LLM telemetry for evaluation, PII, and agent behavior studies.
Source: Brand's website (https://goat.ai) · 2026-10-04

Page last updated 2026-10-17.