This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
agentrial
Run your AI agent 20x. Get confidence intervals, not vibes.
Your AI agent passed the test. But would it pass again? LLMs are non-deterministic — the same task can fail 30% of the time on the next run. agentrial runs each test case N times and gives you confidence intervals instead of pass/fail. Wilson CI on pass rates, failure attribution via Fisher exact test, real API cost tracking, CI/CD regression detection. Works with LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, any Python callable. YAML config, MIT license.
“Run your AI agent 20x. Get confidence intervals, not vibes.”
agentrial was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #45 on the daily leaderboard. Your AI agent passed the test. But would it pass again? LLMs are non-deterministic — the same task can fail 30% of the time on the next run. agentrial runs each test case N times and gives you confidence intervals instead of pass/fail. Wilson CI on pass rates, failure attribution via Fisher exact test, real API cost tracking, CI/CD regression detection. Works with LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, any Python callable. YAML config, MIT license.
Who hunted agentrial?
agentrial was hunted by Alessandro Potenza. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Alessandro Potenza