Availability
Catch timeouts, errors and incomplete workflows from scheduled synthetic runs.
AI agent monitoring · Beta
AI agent monitoring that checks outcomes, not just endpoints
Run approved synthetic prompts and business scenarios against your AI agents and get alerted when availability, quality, security or cost drifts.
- 01Synthetic prompts and business scenarios
- 02Availability, quality, security and economics
- 03Same alerts, incidents and status pages as uptime
- 04Beta add-on with account enablement
Direct answer
AI agents can return a 200 and still be wrong, unsafe or expensive. PingAlert AI agent monitoring (Beta) runs synthetic prompts and business scenarios on a schedule, evaluates each run for availability, quality, security and economics, and routes failures to the same alerts, incidents and status pages as your uptime checks. It is an add-on that requires account enablement.
Four dimensions of AI reliability
Quality
Check deterministic assertions, schemas, expected outcomes and approved semantic rubrics so wrong answers alert, not just failed calls.
Security
Detect forbidden tool use, unapproved actions and sensitive-data patterns in agent responses.
Economics
Track token usage, latency and cost evidence per run so a prompt change that triples cost is visible.
One reliability layer
AI checks sit beside website and API monitoring, so incidents and status updates cover the whole product.
For agencies building AI features
Monitor client AI workflows inside each client workspace, with the same reporting and status pages.
How it works
Get set up in an afternoon
- 01
Request enablement
AI agent monitoring is a Beta add-on enabled per account.
- 02
Define scenarios
Write the prompts and business scenarios that represent real use.
- 03
Set evaluations
Choose assertions and rubrics for quality, security and cost.
- 04
Route alerts
Send failures to the same channels and incidents as uptime.
- AI Agent Monitoring: Synthetic Checks for AI WorkflowsLearn how synthetic AI-agent monitoring helps teams test availability, answer quality, security behavior, and usage cost before customers notice failures.
- What Is Synthetic Monitoring and Why It MattersWhat synthetic monitoring is and how scripted checks of login, checkout and API flows catch user-facing failures before customers do.
Direct answers
Questions teams ask
What does AI agent monitoring check?
Scheduled synthetic prompts and business scenarios, evaluated for availability, quality, security and economics.
Is AI agent monitoring included in every plan?
No. It is a Beta add-on that requires account enablement and is priced separately; see the pricing page.
How is this different from LLM observability?
Observability records what real traffic did; synthetic AI monitoring proactively runs known scenarios on a schedule so regressions alert before users hit them.