GOAT

Tagline Brand's website · 2026-10-04

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.

Description Brand's website · 2026-10-04

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.

Core capabilities Brand's website · 2026-10-04

• 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.

Pricing Brand's website · 2026-10-04

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.

Target industry Brand's website · 2026-10-04

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.