TRACES
streaming

Live runs

Run & step tracing

Full visibility from first prompt to final tool result.

active

Policy engine

Guardrails & HITL

Governance enforced on the hot path — not after the fact.

monitoring

Hot path

Anomaly detection

Catch runaway agents and spend spikes before they escalate.

connected

Integrations

Connectors & MCP

One platform for observability across your agent stack.

AgentWatch

Gateway for AI agents.

AgentWatch captures every run, step, and tool call — then layers anomaly detection, guardrails, goal tracking, FinOps, and audit trails so your team can ship agents with confidence.

Run & step tracingAnomaly detectionGuardrails & HITLGoal trackingMCP registryFinOps & budgets

From agent instrumentation to governed production — five stages in one platform.

How AgentWatch works
01

Instrument runs & steps

SDK, Cursor hooks, or connectors ingest every LLM call, tool invocation, token count, and cost into a unified run timeline — the foundation for everything else in AgentWatch.

02

Detect anomalies on the hot path

Built-in detectors flag tool loops, cost velocity spikes, runaway step counts, PII in outputs, and prompt-injection patterns as steps arrive — surfaced on the dashboard and anomaly views.

03

Enforce guardrails & approvals

Define policies that pause, kill, or require human approval before dangerous tools execute. Budget and quota rules stop runaway spend before it hits your bill.

04

Audit, goals & compliance

Immutable audit trails with PII and secret scrubbing. Attach goals to runs, evaluate success criteria, and export compliance-ready logs for security reviews.

05

Operate at scale

FinOps chargeback, canary rollouts, trust scores, MCP registry, fleet health probes, and connector sync — one console for operators running agents in production.

Platform capabilities

What AgentWatch delivers
OBSERVABILITY

Live

Run & step tracing

Waterfall timelines, MCP call graphs, session grouping, and live Socket.IO updates for every agent run

GOVERNANCE

Policy

Guardrails & HITL

Block dangerous tools, enforce budgets, and route high-risk actions through the approvals inbox

FINOPS

Spend

Cost & budget control

Per-run cost rollups, agent-level budgets, burn-rate analytics, and Stripe-backed plan quotas

INTEGRATIONS

Sync

Connectors & MCP

Cursor hooks, OpenAI/Azure/Vertex connectors, MCP server registry, and SDK instrumentation for any stack

Contact · Book a demo

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We'll email or call you to schedule — typically within 1–2 business days.

Tracing · Guardrails · FinOps · Compliance

The operating layer for production AI agents.

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