Monte Carlo

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
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/monte-carlo.png
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: '0.23'
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
- aid: monte-carlo:monte-carlo-graphql-api
  name: Monte Carlo Graphql API
  description: The Graphql API from Monte Carlo — 1 operation(s) for graphql.
  humanURL: https://docs.getmontecarlo.com/docs/api
  baseURL: https://api.getmontecarlo.com/graphql
  tags:
  - GraphQL
  tags_raw:
  - Graphql
  properties:
  - type: OpenAPI
    url: openapi/monte-carlo-graphql-api-openapi.yml
common:
- type: AgenticAccess
  url: agentic-access/monte-carlo-agentic-access.yml
- type: TrustCenter
  url: security/monte-carlo-trust-center.yml
- type: DomainSecurity
  url: security/monte-carlo-domain-security.yml
- type: Authentication
  url: authentication/monte-carlo-authentication.yml
- 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: LlmsText
  url: https://docs.getmontecarlo.com/llms.txt
- url: https://montecarlodata.com/blog/feed/
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com