Understand Your AI Agents in Production
and Fix What's Failing.
See how users interact with your agent, catch silent failures, and get the context directly in your workspace to fix issues fast.
Pain point detection
Automatically detect when users are frustrated, confused, or abandoning tasks. Surface the exact moment things went wrong.
Learn more PJourney mapping
See the full path users take through your agent. Identify where they drop off and why.
Learn more JConversation replay
Replay any conversation exactly as the user experienced it. Debug with full context, not just logs.
Learn more RCatch the Failures your Logs Miss
Tool call failures
Detect when tool calls return unexpected results or silently fail without raising an exception.
Hallucination detection
Identify responses where the model invented facts, ignored context, or contradicted earlier statements.
Goal completion tracking
Know whether users actually accomplished what they came to do — not just whether the agent responded.
Production context where
your team already works
Get notified when something breaks and see exactly what went wrong. Delivered to Slack, Discord, email, or wherever your team lives.
Track patterns that matter to your business
Competitor mentions
Know when users bring up competing products or compare your agent to alternatives.
Feature requests
Surface the features users ask for most — straight from their own words.
Custom signals
Define your own patterns to track. Monitor anything from compliance keywords to brand language.
Query your agent's runs in plain English
No query language, no SQL, no data team required. Just ask in plain English and get answers from your agent's real production runs — instantly.
Cost, latency, and cache — fully visible
Token Usage
Track token consumption per run, per user, and per tool call.
Latency Breakdown
See where time is spent — model calls, tool execution, or retrieval.
Cache Hit Rate
Identify repeated queries that could be cached to cut costs and speed up responses.
5 lines of code to production
Drop in without modifying your agent architecture (Vercel AI SDK, Claude Agent SDK, LangChain, and more).
Enterprise-grade security for AI data
SOC 2 Compliant
Independently audited security controls.
GDPR Ready
Support for access, deletion, and control.
PII Redaction
Sensitive data redacted at the edge.
Zero Data Retention
Privacy-first architecture with zero data retention options.
Start shipping reliable agents today.
5 lines of code. Failures detected. Context delivered.