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Anomalo
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 21 more developer resources.
2 APIs
1 MCP Servers
On this page
Kin Score
APIs 2
Open Collections 2
MCP Servers 1
Security Posture 2
Scopes 1
Resources 28
apis.yml
18 Operational Transparency
Composite quality — 33.5/100 · thin
Contract Quality
3.9 / 25
Developer Ergonomics
8.9 / 20
Operational Transparency
2.4 / 13
Contract Governance
2.0 / 12
Agent readiness — 23/100 · agent aware
Machine-Readable Contract
18 / 18
Agentic Access Contract
0 / 10
Documented Reversibility
0 / 6
MCP Server
0 / 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
0 / 4
Consent & Bot Identity
0 / 3
A2A Agent Card
0 / 8
Dry-Run / Simulate Mode
0 / 4
Delegated User Identity
0 / 6
Protected Resource Metadata
0 / 5
Registration Without a Human
0 / 6
Agentic Commerce Surface
0 / 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Model Context Protocol servers that expose these APIs to AI agents.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
OAuth scopes governing access to this provider's APIs.
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 3
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)
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: '0.23'
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
tags_raw:
- 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
tags_raw:
- 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
tags_raw:
- 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: Releases
url: https://github.com/datagravity-ai/anomalo-gemini-extension/releases
- 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
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