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Trust your agents in production with autonomous observability for data & AI

Monitor, troubleshoot, and improve agents in production with an intelligent orchestration system that can keep pace with your agents and your data.

Clockwise Glow Loop
Detect Triage Resolve Adapt

Trusted by 400+ enterprises

T. Rowe Price PepsiCo Cisco Comcast Nasdaq Disney Gap Highmark Target Salesforce

Agents fail in ways traditional monitoring can't catch

Bad retrieval context leads to hallucinated outputs, silent behavioral drift, and runaway token costs. Monte Carlo closes the trust loop across your agents, your data pipelines, and everything in between.

Agent trust vs. observability: what's the difference?

A dataset can pass every freshness check while the agent reading it still reasons its way to the wrong answer. Observability is the foundation; trust is what you need once agents act on their own.

Watches the systems

Observability

Is your data healthy, and are your agents behaving as expected?

Watches the decisions

Agent trust

Can you rely on what the agent does with that data?

Agentic operations

Monte Carlo's specialized agents work as a coordinated fleet, seamlessly executing tasks and troubleshooting issues across your data & AI ecosystem.

Nine Agents — Monte Carlo
Detect & respond
01

Troubleshooting

Automated root cause analysis the moment something breaks — hundreds of hypotheses per alert.

02

Triage

Sorts up to 50 alerts by confidence and impact, assigns owners, and suggests next steps.

03

PR Agent

Posts a weighted risk assessment on every PR — shift-left detection before code ships.

Monitor & optimize
04

Monitoring

Finds coverage gaps across the warehouse and the agents acting on it — recommends the right monitor per table.

05 Preview

Cost

Identifies wasteful tables and verifies lineage before recommending removal, so cleanups stay safe.

06 Coming soon

Performance

Optimizes runtime and cost of pipelines — cross-referenced with downstream importance.

Enable & govern
07

Observability

A natural-language interface to the full platform — Assist, Troubleshoot, and Support modes.

08 Preview

PII / Compliance

Describe what to protect in plain language; the agent maps it to columns and sets up monitors.

09

Agent Toolkit

Everything in the Monte Carlo UI, exposed to Claude, Cursor, and other AI agents. Apache-2.0.

Introducing Monte Carlo - the Agent Trust Platform

Integrated with your entire agent stack

50+ integrations across the modern AI ecosystem.

Monte Carlo Integrations

New York Jets

“Trust isn’t a nice-to-have or a compliance checkbox — it’s a precondition to everything we do. We can’t rely on hope.”
Watch the full session

Enterprise-grade security

Data is never stored by Monte Carlo or used to train models

AWS Bedrock and PrivateLink ensure privacy and security

Humans stay in the loop—agents never manipulate data or systems

See how enterprises put agent trust into production