AgentBurn

AgentBurn is an AI data analytics tool for measuring AI agent costs, benchmarking what agents actually spend to complete tasks rather than their theoretical per-token price, built for engineering teams and product managers shipping agents in production. It tracks token consumption across 30+ agent projects on public leaderboards and reports cost per solved task, a metric that accounts for success rates instead of raw tokens alone. The underlying dataset is public and downloadable as JSON, with every data point carrying a provenance tier marking it source-backed, derived, or unpublished. A cost calculator models agent expenses against a human baseline, a telemetry SDK lets teams instrument their own agents to contribute measured data, and the project library is organized across six domains such as coding and customer service. For teams deciding whether an agent is cheaper than the human work it replaces, AgentBurn puts measured numbers and their provenance behind the comparison. On BestAIFor it fits anyone doing ROI and cost modeling before scaling an agent deployment. The platform core appears free, with a paid Agent Token Economy report available for $19.90.

Benchmarking real AI agent costs: token consumption, cost per solved task, and ROI against a human baseline across 30+ agent projects.