Your AI Agents, Always Performing.
AI agents are not set-and-forget. Accuracy drifts. Integrations change. Costs creep. We monitor your agents continuously — health, accuracy, latency, and cost — and intervene before your users notice.
AI agents aren't set-and-forget.
You shipped an agent that works. That does not mean it will keep working. The conditions that made it work change constantly.
An agent running at 70% accuracy is worse than no agent — your customers think it is supposed to work.
Accuracy drifts as data changes
Agent behavior depends on the patterns in your data and user requests. As both evolve, accuracy degrades without anyone deliberately breaking anything.
Edge cases appear over time
Real users find inputs no one anticipated. Edge cases that never appeared during testing show up at scale — and unmonitored agents handle them silently and incorrectly.
Third-party integrations change
APIs update, webhooks change, external data formats shift. Agents that call external services break in subtle ways when upstream providers make changes.
Token limits and context windows evolve
Model providers update limits, pricing, and behavior. An agent built against last quarter's API may be silently truncating context or exceeding budget.
Cost per task can balloon
Without cost monitoring, a single prompt change can increase token usage 5x. Unmonitored agents can generate unexpected spend without any visible failure.
Six metrics. Every agent.
A comprehensive monitoring profile for each agent — not just uptime.
Accuracy drops. We respond.
The full response flow when agent performance degrades — from alert to verified recovery.
Agent monitoring by plan.
Not running agents yet? See what SocioFi can build and deploy for your business.