Synthetic monitoring for AI output quality

You already know if your server is down. Know when your AI got worse too.

PromptCanary schedules synthetic checks against your LLM endpoint, verifies objective assertions, and alerts you only when quality actually regresses. No SDK. No proxy. No observability platform sprawl.

Core promise

Synthetic checks that behave like customers

Run your prompts hourly or daily against any public HTTPS JSON endpoint, not just live traffic.

Core promise

Objective scoring only in v1

JSON validity, schema matching, contains, regex, word count, and latency keep alert noise low.

Core promise

Failure diffs that explain the regression

Compare the latest failure against the last known good run so you know what changed before users complain.

Regression caught

Support bot JSON response

Unhealthy

2 of 3 attempts failed JSON schema after a silent model change 47 minutes ago.

last passing { "intent": "refund_request", "priority": "high" }
latest failing I'm sorry you're frustrated. Here are a few options...
Pricing posture

Built for solo builders first

  • Free: 2 monitors, daily checks, 7-day history
  • Pro: 25 monitors, hourly checks, Slack alerts, 90-day history
  • Team later: shared access and faster schedules only after demand shows up