A coordinated agent fleet to monitor, troubleshoot, and optimize your agents at scale
Monte Carlo's specialized agents work together to scale quality coverage, accelerate resolution, and increase your team's velocity so enterprises can deploy trusted AI in production.
Agents fail in ways traditional monitoring can't catch
Relying on traditional, manual observability leaves coverage gaps that expose your business to incorrect outputs, bad AI decisions, and increased risk – not to mention the drain on engineering time and resources. Monte Carlo’s agents close that gap by working across all surfaces of your data and agent ecosystem intelligently and autonomously.
An agentic fleet automates your observability operations so you can deploy with confidence
Monte Carlo’s platform contains a fleet of specialized agents, working together to automate your onboarding needs, expand monitoring coverage as your data and AI estate grows, resolve incidents, and enable your agents to continuously learn and improve from previous resolutions.
Meet the agents
AI Monitoring Agent for faster coverage at scale
Increase monitor deployment speed by 30% or more. Monitoring Agent leverages signals across your data + AI estate to define and deploy sophisticated monitors in seconds.
It’s easy to understand and even easier to deploy with a 60% recommendation acceptance rate across hundreds of customers.
Investigate upstream dependencies and recent changes to find the likely root cause. Runs right here — try it.
Troubleshoot alertAccelerate resolution by 80%+ with Troubleshooting Agent
Root-cause in minutes, not weeks. The average data incident takes 19 hours to resolve, but it doesn't have to. Troubleshooting Agent has comprehensive visibility into all the ways your data and agents can break across pipelines, context, agent behavior, and outputs.
It deploys hundreds of subagents to investigate anomalies using natural language, then returns clear, validated explanations and actionable next steps.
Increase data + AI team velocity 50% with Operations Agent
Your Agent Trust jumping off point. Built on the back of Monte Carlo’s platform, Operations Agent is your observability copilot. It mines insights from your monitors, alerts, and asset usage trends to make your team 2x more productive. With a single prompt you can discover unmonitored assets and get recommendations, optimize incident response and alert routing, and surface trends.
This monitor has fired 35 times in the last 5 days with no visible statuses indicating action was taken, and no query changes were found near the incident time — patterns consistent with a persistent, unremediated source-system issue rather than noise. Because this is a validatio…
View triageEliminate alert noise with Triage Agent
Prioritize your highest-impact issues automatically. Not every alert deserves your on-call engineer. That’s why Monte Carlo’s Triage Agent scores every new alert based on how likely it is to be a real problem, as well as how large the downstream blast radius is.
Using anomaly data, alert history, lineage, orchestrator signals, and the business criticality of every affected asset, Triage Agent identifies your priorities for you.
Catch breaking changes before they hit production with PR Agent
An intelligent code reviewer that knows your data inside-out. Unlike generic code reviewers, Monte Carlo’s PR Agent assesses the real production impact of a pull request, providing a weighted risk assessment to highlight the potential downstream risks associated with a schema change or pipeline modification.
Reduce false positives by 80%+ without losing real signal with the Tuning Agent
Fewer alerts, same comprehensive coverage. Noisy monitors get ignored, and ignored monitors don't protect anything. Tuning Agent analyzes a monitor's configuration, recent incidents, anomaly patterns, and how your team actually dispositioned past alerts.
It then recommends specific changes to sensitivity, scheduling, filters, segmentation, and thresholds based on that insight.
Cut warehouse spend with Cost & Performance Agent
Find the waste you can safely reduce. Storage and compute costs creep as teams grow their data and AI ecosystem without auditing which parts go unused.
Monte Carlo’s Cost & Performance Agent steps in to improve these inefficiencies, classifying your warehouse into waste patterns, surfacing expensive patterns of compute usage, and providing a safe cleanup recommendation that protects downstream dependencies.
Scanned 149 tables in the latest selected scope. Found PII in 4 columns across 4 tables.
Rows scanned: 21,804,679,314 First detected Jun 4th 2026 08:09. Last scanned Sep 2nd 2026 08:16.Discover, monitor, and govern sensitive data with PII / Compliance Agent
Understand exactly where sensitive data is exposed without writing SQL. Compliance teams have always needed an audit-ready map of PII across the warehouse, yet they have never had a straightforward way to produce one.
PII / Compliance Agent changes that, running SQL-based detection natively inside your warehouse and building a single exportable inventory of sensitive data that’s enriched with your existing classification tags.
Turn every root cause into a concrete next step with Remediation Agent
Knowing the cause of an incident isn’t the same as knowing the solution. Every completed troubleshooting analysis automatically ends in a plan thanks to the Remediation Agent, giving teams a root-cause classification, a summary of what the agent proposes, and a recommended action – whether that’s a code fix or pipeline re-run.
Open the plan in your own AI coding assistant and the agent pulls the full fix via MCP to do the work in your environment, under your permissions.
Open this alert’s remediation in your coding agent. Your tool will use Monte Carlo’s MCP server with your account permissions — no shared credentials.
Choose your toolYou're never on your own
With Operations Agent, our AI-powered support assistant is fully integrated to provide step-by-step guidance on all platform features — empowering all users.