Tools
Monte Carlo Agent Observability vs Monte Carlo Data Observability Platform
Monte Carlo Agent Observability or Monte Carlo Data Observability Platform? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Ask in plain language, Connects to your data, API
- Only Monte Carlo Agent Observability states: Self-hosted
- Only Monte Carlo Data Observability Platform states: Real-time data
Monte Carlo Agent Observability
Monte Carlo monitors AI agents across context, performance, behavior, and output, with tracing, evaluations, alerts, and data lineage.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Ask in plain language — “A natural-language interface to the full platform — Assist, Troubleshoot, and Support modes.” source
- Connects to your data — “Seamlessly connect to Snowflake, Databricks, AWS, and 50+ more.” source
- API — “For agents you've built yourself, your team deploys the trace store into your own cloud with one Terraform module and instruments with our SDK, which the Agent Toolkit handles from your editor.” source
- Self-hosted — “In your own cloud account — either your warehouse or lakehouse, or a self-hosted trace store you deploy.” source
Security
- SOC 2 Type II — “Monte Carlo SOC 2 Type 2 Report 2026.pdf” source
- SOC 2 — “Monte Carlo SOC 2 Type 2 Report 2026.pdf” source
- ISO 27001 — “Monte Carlo Data ISO 27001 27017 27018 Certificate - 2026.pdf” source
Latest updates
- Monte Carlo Launches Agent Observability to Help Teams Build Reliable AI
Provides end-to-end visibility across the data + AI stack to detect, triage, and resolve AI reliability issues in production.
Monte Carlo Data Observability Platform
Monte Carlo monitors data, ML models, and AI agents to detect quality issues, trace causes, and improve reliability.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Ask in plain language — “It deploys hundreds of subagents to investigate anomalies using natural language, then returns clear, validated explanations and actionable next steps.” source
- Connects to your data — “Monte Carlo integrates with 50+ systems across 8 categories, spanning warehouses, lakehouses, agent frameworks, telemetry platforms, and BI tools.” source
- Real-time data — “Monitors topic-level throughput and schema for streaming pipelines” source
- API — “Ingests agent traces via the montecarlo-opentelemetry Python SDK, the standard instrumentation path” source
Security
- SOC 2 Type II — “Monte Carlo SOC 2 Type 2 Report 2026.pdf” source
- SOC 2 — “Monte Carlo SOC 2 Type 2 Report 2026.pdf” source
- ISO 27001 — “Monte Carlo Data ISO 27001 27017 27018 Certificate - 2026.pdf” source