Quality regressions
Detect output degradation before support volume spikes.
AgentLens gives product and platform teams shared visibility on quality, cost, and agent execution while keeping application data inside your own infrastructure.
Two-line integration. Audit-ready data flows. Built for teams moving from pilot to production.
Live view of quality, spend, and risk signals in one dashboard. Use this preview in shares and customer threads.
Production AI systems fail quietly. Quality regresses, spend drifts, and multi-step agents become opaque. AgentLens turns these blind spots into measurable operational controls.
Detect output degradation before support volume spikes.
Track per-call spend and trigger budget alerts automatically.
See each span, duration, and error in one debugger view.
Export, retention, and audit log workflows are built in.
AgentLens is designed to be useful for engineering and legible for security, legal, and procurement stakeholders.
Every call receives a consistent quality score and failure signal for trend analysis.
Built-in detection for low-confidence outputs, refusal loops, and empty responses.
Trace every multi-step run with per-span timing, cost, and status visibility.
Per-model and per-feature spend breakdowns with alert thresholds and daily controls.
Window-based quality drift detection for early warning in production environments.
Data export, retention policies, and immutable audit logs available from one interface.
AgentLens provides direct access to security policy, legal pack, SLA commitments, and questionnaire responses so enterprise buyers can evaluate quickly.
Published controls, vulnerability intake path, and operating model.
Customer-shareable legal artifacts prepared for procurement review.
Clear uptime, support, and response expectations for paid plans.
Health endpoints, backup protocol, and readiness verification workflow.
Open-core for evaluation, paid plans for production operations. Starter, Team, Scale, and Enterprise are managed plans with strict server-side entitlement enforcement. Starter, Team, and Scale use 12-month terms billed monthly. Prices exclude VAT.
For evaluation and early integration with a direct product preview.
For one team shipping one AI product.
For growing teams that need deeper operational control.
For multi-product operations with governance requirements.
Private deployment and security-critical workloads.
Standard checkout supports card payments (including Apple Pay and Google Pay where available) and SEPA direct debit.
The public core is for evaluation and integration speed. Paid plans are for reliable production operations, governance, and enterprise accountability.
Production hosting, upgrades, and operational ownership without internal platform overhead.
Defined uptime targets, response times, and direct support paths for critical incidents.
Enterprise trust artifacts, review support, and procurement-ready security documentation.
Prompt Debugger, Agent Debugger, advanced analytics, and compliance workflows are enforced by plan server-side.
Open dashboard, traces, and compliance preview. Then request a guided 14-day pilot.