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

GitHubOrganization

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-images.s3.amazonaws.com/shared/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

  - url: graphql/monte-carlo-graphql.md
    type: GraphQL
common:
- type: LinkedIn
  url: https://www.linkedin.com/company/monte-carlo-data
- type: Website
  url: https://www.montecarlodata.com
- type: Documentation
  url: https://docs.getmontecarlo.com
- type: GitHubOrganization
  url: https://github.com/monte-carlo-data
- type: Pricing
  url: https://www.montecarlodata.com/pricing/
- type: SignUp
  url: https://www.montecarlodata.com/request-a-demo/

- type: LLMsTxt
  url: https://docs.getmontecarlo.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com