Unravel Data Systems
Unravel Data Systems is an AI-powered data observability and FinOps platform that helps data teams optimize performance, cost, and reliability across modern data stacks including Databricks, Snowflake, BigQuery, Amazon EMR, and Cloudera. The self-hosted and SaaS platform exposes a REST API (JSON over HTTP, session-token authentication via /signIn, RBAC-scoped) for querying application performance, cluster operations, chargeback, anomaly detection, and pipeline data collected by its observability engine.
Unravel Data Systems publishes 1 API on the APIs.io network. Tagged areas include Data Observability, FinOps, DataOps, Databricks, and Snowflake.
The Unravel Data Systems catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Unravel Data Systems’ developer surface includes documentation, engineering blog, support, pricing, authentication, changelog, CLI, and 16 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Unravel REST API
REST API for the Unravel data observability platform. Query and collect data from your monitored clusters and workspaces over HTTP/HTTPS with JSON requests and responses. Endpoi...
Event Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Unravel Data Systems Webhooks
ASYNCAPISecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 3
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 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API