aid: bigeye
name: Bigeye
description: 'Bigeye is an enterprise data observability and AI trust platform that
  monitors data quality, detects schema changes and anomalies, classifies sensitive
  data, and maps column-level lineage across warehouses, lakes, BI tools and ETL
  pipelines. The platform combines automated data quality monitoring, ML-powered
  anomaly detection and lineage-based root-cause and downstream-impact analysis so
  teams can find and resolve data issues before they reach dashboards, reports or
  AI systems. Bigeye is API-first: its REST API is published as three OpenAPI 3.0
  definitions (Metadata, Observability and Sensitivity) covering 263
  operations, and it ships a first-party Python SDK, a Python CLI, Airflow
  operators, YAML-based observability-as-code configuration, and a hosted Model
  Context Protocol gateway that exposes 56 agent tools over the same platform.'
url: https://raw.githubusercontent.com/api-evangelist/bigeye/refs/heads/main/apis.yml
image: https://cdn.prod.website-files.com/64b205c9041f2a26ac7cb23f/69135c34ecede8d3fb8c6be8_bigeye-logo-1200x1200.jpg
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-02'
modified: '2026-08-02'
tags:
- Company
- Data Observability
- Data Quality
- Data Lineage
- Data Governance
- Metadata Management
- Data Catalog
- Sensitive Data Discovery
- Monitoring
- Analytics
- AI Trust
- Snowflake
- Databricks
apis:
- aid: bigeye:bigeye-metadata-api
  name: Bigeye Metadata API
  description: >-
    The Bigeye Metadata API covers the data catalog and workspace administration
    surface: sources, schemas, tables, columns and virtual tables; catalog rebuilds
    and schema-change tracking; lineage (v1 and v2) nodes and edges; users, groups,
    roles, workspaces and object ownership; agent registration, API keys and service
    accounts; integrations, named schedules, tags, favorites, search, dashboards and
    workflow status.
  humanURL: https://docs.bigeye.com/reference
  baseURL: https://app.bigeye.com
  tags:
  - Catalog
  - Metadata
  - Lineage
  - Schemas
  - Tables
  - Columns
  - Sources
  - Workspaces
  - Users
  - API Keys
  properties:
  - type: OpenAPI
    url: openapi/bigeye-metadata-openapi.json
  - type: Documentation
    url: https://docs.bigeye.com/docs/api-user-guide
  - type: APIReference
    url: https://docs.bigeye.com/reference
  - type: Overlay
    url: overlays/bigeye-metadata-overlay.yaml
- aid: bigeye:bigeye-observability-api
  name: Bigeye Observability API
  description: >-
    The Bigeye Observability API covers monitoring and data quality: metrics
    (monitors) and metric templates, custom SQL rules, autometrics, backfills and
    batch metric runs, collections of monitors, deltas and comparison tables for
    cross-source validation, joins, observed columns, data quality dimensions, and
    the issue lifecycle including merging issues into incidents.
  humanURL: https://docs.bigeye.com/reference
  baseURL: https://app.bigeye.com
  tags:
  - Monitoring
  - Metrics
  - Data Quality
  - Issues
  - Incidents
  - Collections
  - Deltas
  - Custom Rules
  - Dimensions
  properties:
  - type: OpenAPI
    url: openapi/bigeye-observability-openapi.json
  - type: Documentation
    url: https://docs.bigeye.com/docs/monitoring
  - type: APIReference
    url: https://docs.bigeye.com/reference
  - type: Overlay
    url: overlays/bigeye-observability-overlay.yaml
- aid: bigeye:bigeye-sensitivity-api
  name: Bigeye Sensitivity API
  description: >-
    The Bigeye Sensitivity API covers sensitive data discovery and classification:
    classifiers, data classes and data class categories, scan jobs and scan job
    configuration, scan runs, and the aggregate and snapshot findings that report
    where PII and other sensitive data was detected across connected sources.
  humanURL: https://docs.bigeye.com/reference
  baseURL: https://app.bigeye.com
  tags:
  - Sensitive Data
  - Classification
  - PII
  - Scanning
  - Data Governance
  properties:
  - type: OpenAPI
    url: openapi/bigeye-sensitivity-openapi.json
  - type: Documentation
    url: https://docs.bigeye.com/docs/getting-started-scanning
  - type: APIReference
    url: https://docs.bigeye.com/reference
  - type: Overlay
    url: overlays/bigeye-sensitivity-overlay.yaml
- aid: bigeye:bigeye-mcp-gateway
  name: Bigeye MCP Gateway
  description: >-
    The Bigeye MCP Gateway is a hosted Model Context Protocol server at
    https://mcpgateway.bigeye.com/mcp that exposes 56 tools over the Bigeye
    platform for AI assistants and agents — listing and triaging data quality
    issues, searching the catalog, tracing lineage, profiling tables, managing
    metrics, dimensions and tags, and reading sensitive-data scan findings.
    Authentication uses the same Bigeye API key passed as an "apikey" prefixed
    Authorization header plus an x-bigeye-workspace-id header. Public beta since
    July 2026; the server is also open source and self-hostable.
  humanURL: https://docs.bigeye.com/docs/bigeye-mcp-server
  baseURL: https://mcpgateway.bigeye.com/mcp
  tags:
  - MCP
  - Agents
  - AI
  properties:
  - type: MCPServer
    url: mcp/bigeye-mcp.yml
  - type: ToolCrosswalk
    url: mcp/bigeye-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.bigeye.com/docs/bigeye-mcp-server
  - type: SourceCode
    url: https://github.com/bigeyedata/bigeye-mcp-server
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/bigeye-agentic-access.yml
- type: TrustCenter
  url: security/bigeye-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/bigeye-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/bigeye-domain-security.yml
- type: Authentication
  url: authentication/bigeye-authentication.yml
- type: Website
  url: https://www.bigeye.com/
- type: DeveloperPortal
  url: https://docs.bigeye.com/
- type: Documentation
  url: https://docs.bigeye.com/docs/api-user-guide
- type: APIReference
  url: https://docs.bigeye.com/reference
- type: GettingStarted
  url: https://docs.bigeye.com/docs/getting-started
- type: Support
  url: https://www.bigeye.com/contact-us
- type: Blog
  url: https://www.bigeye.com/blog
- type: GitHubOrganization
  url: https://github.com/bigeyedata
- type: SignUp
  url: https://app.bigeye.com/login
- type: TermsOfService
  url: https://www.bigeye.com/terms/terms-of-use
- type: PrivacyPolicy
  url: https://www.bigeye.com/privacy
- type: StatusPage
  url: https://status.bigeye.com/
- type: Compliance
  url: https://docs.bigeye.com/docs/security-and-compliance
- type: ChangeLog
  url: https://docs.bigeye.com/docs/release-notes
- type: MCPServer
  url: mcp/bigeye-mcp.yml
- type: WellKnown
  url: well-known/bigeye-well-known.yml
- type: APICatalog
  url: well-known/bigeye-api-catalog.json
- type: LLMsTxt
  url: llms/bigeye-llms.txt
- type: Packages
  url: packages/bigeye-packages.yml
- type: SDKs
  url: packages/bigeye-packages.yml
- type: CLI
  url: cli/bigeye-cli.yml
- type: ToolCrosswalk
  url: mcp/bigeye-tool-crosswalk.yml
- type: Conventions
  url: conventions/bigeye-conventions.yml
- type: ErrorCatalog
  url: errors/bigeye-problem-types.yml
- type: Lifecycle
  url: lifecycle/bigeye-lifecycle.yml
- type: Conformance
  url: conformance/bigeye-conformance.yml
- type: DataModel
  url: data-model/bigeye-data-model.yml
- type: Webhooks
  url: asyncapi/bigeye-webhooks.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Security
  url: https://www.bigeye.com/platform/security
- type: Overlay
  url: overlays/bigeye-metadata-overlay.yaml
- type: ChangeLog
  url: changelog/bigeye-changelog.yml
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 33
  pass: local-v1