Anomalo

Anomalo is an AI-powered data quality and data observability platform that automatically detects, alerts on, triages and helps resolve data issues before they reach analytics, reporting or AI models. It connects directly to cloud data warehouses and lakehouses — Snowflake, Databricks, BigQuery, Redshift, Amazon S3 and others — profiles the tables it monitors, and applies unsupervised machine learning to surface anomalies without requiring engineers to hand-author rules or maintain thresholds, alongside declaratively configured validation checks. The platform covers structured, semi-structured and unstructured data, performs root-cause analysis on failed checks, tracks table lineage, and routes alerts to Slack, Microsoft Teams, Jira, ServiceNow, PagerDuty and email. Anomalo exposes a REST Public API (`/api/public/v1/`) for warehouse connection, table configuration, check authoring and execution, check-run results, labels, lineage edges, users, API keys and access-group administration, plus a first-party Python client and CLI, an Apache Airflow provider, and an official MCP server shipped as a Google Gemini CLI extension. Anomalo is deployed per-tenant, with API documentation gated to customers; the company holds SOC 2 Type 2 and ISO 27001 attestations.

Anomalo publishes 1 API on the APIs.io network: Public API. Tagged areas include data-quality, data-observability, data-monitoring, anomaly-detection, and data-governance.

Anomalo’s developer surface includes documentation, support, engineering blog, signup flow, CLI, authentication, changelog, and 20 more developer resources.

34.7/100 thin ▬ flat Agent 44/100 agent ready Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
2 APIs 1 MCP Servers
data-qualitydata-observabilitydata-monitoringanomaly-detectiondata-governancedata-lineagedata-profilingdata-validationdata-engineeringmachine-learningsnowflakedatabricksbigqueryenterprise-datamcpagent-native

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 34.7/100 · thin
Contract Quality 3.5 / 25
Developer Ergonomics 9.9 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 2.7 / 13
Governance 1.4 / 12
Discoverability 8.7 / 10
Agent readiness — 44/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 10
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/anomalo: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Anomalo Public API

REST API for the Anomalo data quality platform. Connect and refresh data warehouses, configure which tables are monitored, author and run data quality checks, read check-run res...

Anomalo MCP Server

Official Anomalo MCP (Model Context Protocol) server, published by Anomalo as a Google Gemini CLI extension under the Apache-2.0 license. Runs locally over stdio against a custo...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

anomalo-mcp.yml

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Anomalo Authentication

apiKey/http · 2 schemes

SECURITY

Anomalo Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Anomalo Scopes

3 scopes · authorizationCode

3 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 4

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: anomalo
name: Anomalo
description: Anomalo is an AI-powered data quality and data observability platform that automatically detects, alerts on,
  triages and helps resolve data issues before they reach analytics, reporting or AI models. It connects directly to cloud
  data warehouses and lakehouses — Snowflake, Databricks, BigQuery, Redshift, Amazon S3 and others — profiles the tables it
  monitors, and applies unsupervised machine learning to surface anomalies without requiring engineers to hand-author rules
  or maintain thresholds, alongside declaratively configured validation checks. The platform covers structured, semi-structured
  and unstructured data, performs root-cause analysis on failed checks, tracks table lineage, and routes alerts to Slack,
  Microsoft Teams, Jira, ServiceNow, PagerDuty and email. Anomalo exposes a REST Public API (`/api/public/v1/`) for warehouse
  connection, table configuration, check authoring and execution, check-run results, labels, lineage edges, users, API keys
  and access-group administration, plus a first-party Python client and CLI, an Apache Airflow provider, and an official MCP
  server shipped as a Google Gemini CLI extension. Anomalo is deployed per-tenant, with API documentation gated to customers;
  the company holds SOC 2 Type 2 and ISO 27001 attestations.
image: https://www.anomalo.com/wp-content/uploads/2024/01/logo-1.svg
url: https://raw.githubusercontent.com/api-evangelist/anomalo/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.21'
created: '2026-07-31'
modified: '2026-07-31'
tags:
- data-quality
- data-observability
- data-monitoring
- anomaly-detection
- data-governance
- data-lineage
- data-profiling
- data-validation
- data-engineering
- machine-learning
- snowflake
- databricks
- bigquery
- enterprise-data
- mcp
- agent-native
apis:
- name: Anomalo Public API
  description: 'REST API for the Anomalo data quality platform. Connect and refresh data warehouses, configure which tables
    are monitored, author and run data quality checks, read check-run results and table data profiles, manage table and check
    labels, record table lineage edges, administer users, API keys and access groups, and manage notification channels. Deployed
    per-tenant under `https://<instance>/api/public/v1/`; authenticated with an API secret token sent as the `X-Anomalo-Token`
    header (or as an `Authorization: Bearer` token).'
  humanURL: https://www.anomalo.com/product-overview/
  baseURL: https://app.anomalo.com/api/public/v1
  tags:
  - data-quality
  - data-observability
  - anomaly-detection
  - data-lineage
  - data-profiling
  - data-validation
  - data-governance
  properties:
  - type: OpenAPI
    url: openapi/anomalo-public-api-openapi.yml
  - type: OpenAPI
    url: openapi/anomalo-unstructured-openapi.yml
  - type: Overlay
    url: overlays/anomalo-public-api-overlay.yaml
  - type: Authentication
    url: authentication/anomalo-authentication.yml
  - type: Conventions
    url: conventions/anomalo-conventions.yml
  - type: ErrorCatalog
    url: errors/anomalo-problem-types.yml
  - type: DataModel
    url: data-model/anomalo-data-model.yml
  - type: Documentation
    url: https://www.anomalo.com/product-overview/
- name: Anomalo MCP Server
  description: Official Anomalo MCP (Model Context Protocol) server, published by Anomalo as a Google Gemini CLI extension
    under the Apache-2.0 license. Runs locally over stdio against a customer's own Anomalo instance, exposing tools for listing
    organizations and labels, browsing configured tables, reading table data profiles and data quality check status, listing
    configured checks, triggering check runs and polling check-run results. Authenticated with `ANOMALO_INSTANCE_HOST` and
    `ANOMALO_API_SECRET_TOKEN`.
  humanURL: https://github.com/datagravity-ai/anomalo-gemini-extension
  baseURL: https://github.com/datagravity-ai/anomalo-gemini-extension
  tags:
  - mcp
  - agent-native
  - data-quality
  - data-observability
  properties:
  - type: MCPServer
    url: mcp/anomalo-mcp.yml
  - type: ToolCrosswalk
    url: mcp/anomalo-tool-crosswalk.yml
  - type: SourceCode
    url: https://github.com/datagravity-ai/anomalo-gemini-extension
common:
- type: Website
  url: https://www.anomalo.com/
- type: Documentation
  url: https://www.anomalo.com/product-overview/
- type: Support
  url: https://www.anomalo.com/request-support/
- type: Blog
  url: https://www.anomalo.com/blog/
- type: BlogRSS
  url: https://www.anomalo.com/blog/feed/
- type: GitHubOrganization
  url: https://github.com/anomalo-hq
- type: SignUp
  url: https://www.anomalo.com/request-a-demo/
- type: Login
  url: https://app.anomalo.com/login
- type: TermsOfService
  url: https://www.anomalo.com/legal/subscription/
- type: PrivacyPolicy
  url: https://www.anomalo.com/legal/privacy/
- type: Compliance
  url: https://www.anomalo.com/legal/
- type: Integrations
  url: https://www.anomalo.com/integrations/
- type: Packages
  url: packages/anomalo-packages.yml
- type: SDKs
  url: packages/anomalo-packages.yml
- type: CLI
  url: cli/anomalo-cli.yml
- type: MCPServer
  url: mcp/anomalo-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/anomalo-llms.txt
- type: WellKnown
  url: well-known/anomalo-well-known.yml
- type: Authentication
  url: authentication/anomalo-authentication.yml
- type: OAuthScopes
  url: scopes/anomalo-scopes.yml
- type: Conventions
  url: conventions/anomalo-conventions.yml
- type: Lifecycle
  url: lifecycle/anomalo-lifecycle.yml
- type: Conformance
  url: conformance/anomalo-conformance.yml
- type: ErrorCatalog
  url: errors/anomalo-problem-types.yml
- type: DataModel
  url: data-model/anomalo-data-model.yml
- type: ChangeLog
  url: changelog/anomalo-changelog.yml
- type: DomainSecurity
  url: security/anomalo-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-31'
  status: enriched
  artifacts_added: 24
  pass: local-v1