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Case Study

AgentSafe

AI Agent Safety & Cost Control

Production AI agents can rack up thousands in API costs in minutes when something goes wrong — a prompt loop, a retry storm, or a misconfigured pipeline. AgentSafe provides real-time API cost optimization and runtime security monitoring so you can deploy agents with confidence. Circuit breakers, spend limits, and anomaly detection keep your fleet safe and your budget intact.

Real-time

Monitoring

Per-agent

Budget Control

<1s

Response Time

24/7

Availability

Core Features

Circuit Breakers

Automatic trip-wire protection that halts runaway agents before they burn through your API budget. Configurable thresholds per agent, per model, or globally.

Spend Limits

Set hard and soft spend caps at the agent, team, or organization level. Get alerts before you hit limits and automatic shutoffs when you do.

Anomaly Detection

ML-powered monitoring that learns normal usage patterns and flags deviations in real time — catching prompt injection loops, infinite retries, and cost spikes.

Per-Agent Budgets

Granular budget allocation for every agent in your fleet. Know exactly what each agent costs and enforce individual spending policies.

Automatic Shutoffs

When an agent exceeds its budget or behaves abnormally, AgentSafe kills the process immediately and notifies your team with a full incident report.

Cost Dashboards

Real-time visibility into API spend across all agents, models, and endpoints. Historical trends, forecasting, and exportable reports for finance teams.

Tech Stack

PythonClaude APITyperPydantic

Ready to safeguard your AI agents?

See AgentSafe in action or talk to us about monitoring your agent fleet.