The Context Company

Monitor production AI agent conversations to detect recurring patterns and lower costs

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use The Context Company to monitor and evaluate AI agents running in production environments. It groups user conversations into recurring topics and flags failure patterns, pricing errors, or tool failures across production traces. Engineers can investigate logs directly inside their code editor using Model Context Protocol connections with Claude Code or Codex. The system tracks cost per run, measures token usage shifts after deployments, and redacts sensitive customer data before storage. Product teams also receive automated alerts and summaries on user requests.

What The Context Company does

Track production execution traces across AI agent frameworksIdentify recurring conversation errors and low-confidence lookupsInspect tool call inputs and outputs for specific user sessionsCluster agent chat histories into distinct customer intent groupsRedact sensitive personally identifiable information during ingestConnect IDE coding assistants to trace logs using Model Context ProtocolSend automated Slack notifications for agent failure spikesModel Context Protocol integration to inspect traces directly inside code editorsAutomated pattern detection across production conversation tracesTopic clustering to group conversations by intent and identify unmet user requestsCost per run tracking to evaluate economic impact across code deploymentsNatural language search to locate relevant runs without manual log reviewEdge redaction of personally identifiable information before storing dataSlack reports and automated alerts for recurring agent errors and negative feedback