Monte Carlo

Monte Carlo is a data and AI observability platform that monitors data warehouses, lakes, and pipelines for freshness, volume, schema, and quality anomalies, helping data teams detect, resolve, and prevent data downtime across Snowflake, Databricks, BigQuery, Redshift, and other modern data stack tools. Monte Carlo exposes a GraphQL API at https://api.getmontecarlo.com/graphql used for programmatic access to monitors, incidents, lineage, assets, alerts, custom rules, and lake/metastore integrations, with a supporting Python SDK and CLI (pycarlo / montecarlo). Authentication uses an API Key ID and Token pair sent via headers.

1 APIs 0 Features

Data ObservabilityData QualityData ReliabilityData LakeData WarehouseLineageMonitoringAI Observability

GitHub Organization

Sources

aid: monte-carlo
name: Monte Carlo
description: >-
  Monte Carlo is a data and AI observability platform that monitors data
  warehouses, lakes, and pipelines for freshness, volume, schema, and quality
  anomalies, helping data teams detect, resolve, and prevent data downtime
  across Snowflake, Databricks, BigQuery, Redshift, and other modern data
  stack tools. Monte Carlo exposes a GraphQL API at
  https://api.getmontecarlo.com/graphql used for programmatic access to
  monitors, incidents, lineage, assets, alerts, custom rules, and lake/metastore
  integrations, with a supporting Python SDK and CLI (pycarlo / montecarlo).
  Authentication uses an API Key ID and Token pair sent via headers.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Data Observability
  - Data Quality
  - Data Reliability
  - Data Lake
  - Data Warehouse
  - Lineage
  - Monitoring
  - AI Observability
url: >-
  https://raw.githubusercontent.com/api-evangelist/monte-carlo/refs/heads/main/apis.yml
created: '2026-05-11'
modified: '2026-05-11'
specificationVersion: '0.19'
apis:
  - aid: monte-carlo:graphql-api
    name: Monte Carlo GraphQL API
    description: >-
      GraphQL API for the Monte Carlo data observability platform. Provides
      programmatic access to monitors, incidents, assets, lineage, custom
      rules, warehouses, lakes, metastores, and alerts. Authentication uses
      an account or personal API Key ID and Token sent via the
      x-mcd-id and x-mcd-token headers (or as a Bearer token).
    humanURL: https://docs.getmontecarlo.com/docs/api
    baseURL: https://api.getmontecarlo.com/graphql
    tags:
      - Data Observability
      - GraphQL
      - Monitoring
      - Data Quality
      - Lineage
    properties:
      - type: Documentation
        url: https://docs.getmontecarlo.com/docs/api
      - type: Developer Resources
        url: https://docs.getmontecarlo.com/docs/developer-resources
      - type: Data Lakes Integration
        url: https://docs.getmontecarlo.com/docs/data-lakes
      - type: Python SDK (pycarlo)
        url: https://github.com/monte-carlo-data/python-sdk
      - type: CLI
        url: https://github.com/monte-carlo-data/monte-carlo-cli
      - type: MCP Server
        url: https://docs.getmontecarlo.com/docs/mcp-server

common:
  - type: Website
    url: https://www.montecarlodata.com
  - type: Documentation
    url: https://docs.getmontecarlo.com
  - type: GitHub Organization
    url: https://github.com/monte-carlo-data
  - type: Pricing
    url: https://www.montecarlodata.com/pricing/
  - type: Sign Up
    url: https://www.montecarlodata.com/request-a-demo/

maintainers:
  - FN: Kin Lane
    email: [email protected]