Agentry

Agentry is a data platform built specifically for AI coding agents. Instead of a traditional dashboard, you pipe errors, events, and deploy records from your app or CI into Agentry, and then your coding agent (Cursor, Claude Code, Codex, Windsurf, or Copilot) queries the API to get the full picture. The agent can then investigate what broke, prioritize fixes by business impact, and even open pull requests — all without you digging through logs. It’s a feedback loop that turns raw telemetry into actionable engineering work.

How does it work? You connect your app to send data (errors, analytics events, deployment metadata). Agentry stores it with configurable retention (up to 365 days on paid plans). Your coding agent, after you give it a prompt like “Why did signup drop after the onboarding change?”, can query Agentry’s API, analyze the data, and come back with a root-cause analysis, a suggested fix, and a draft PR. The page shows an example where the agent found that a 15-minute token expiry was locking out trial teams after delayed emails, and it opened a one-line TTL fix. There’s no built-in dashboard — the agent generates the report in whatever format you ask for (a PR, a Slack message, a page).

Who should use this? Any developer or engineering team that relies on AI coding agents and wants them to be more autonomous and context-aware. It’s especially useful for catching regressions after deployments, identifying conversion leaks (like the CSV import drop-off mentioned in a testimonial), and automating bug triage. The free tier includes 50k events per month and 90-day retention, so you can try it on a real project without paying. If you’re already using an AI coding agent and find yourself manually feeding it context, Agentry does that for you.