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.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Anomalo the way a machine reads it — 8 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Anomalo scores 34.5/100 (thin), with a separate agent-readiness read of 41/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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How we profile Anomalo
Each block below is one kind of artifact we hold for Anomalo. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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...
Open Collections 2
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Anomalo Public API
OPEN COLLECTIONAnomalo Unstructured Data API
OPEN COLLECTIONMCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
anomalo-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Resources
Every other property we hold for Anomalo — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
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
← All providers · Data indexed from github.com/api-evangelist/anomalo · machine-readable index on apis.io
This is an independent, third-party profile of Anomalo, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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