Sifflet
Sifflet is a data observability platform positioned as the control plane for Data and AI. It catches data issues before they reach the business, traces them to their root cause, and helps teams fix them fast. The platform unifies a data catalog, data quality monitoring, end-to-end data lineage (including field-level lineage), built-in security and access control, and AI-powered agents (Sentinel auto-monitoring, Sage root-cause analysis, and an AI chat/assistant) into one product. It integrates with major data platforms and tools including Snowflake, Databricks, BigQuery, Amazon Redshift, dbt, Apache Airflow, Fivetran, Tableau, Looker, and Power BI. Developers automate Sifflet through a public REST API (Bearer Access Token auth), a Python CLI, a Terraform provider, Airflow operators, outbound webhooks, and an official MCP server. Sifflet is a portfolio company of EQT Ventures.
Sifflet publishes 1 API on the APIs.io network. Tagged areas include Company, Data Analytics, Data Observability, Data Quality, and Data Catalog.
The Sifflet catalog on APIs.io includes 1 event-driven AsyncAPI specification.
Sifflet’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, changelog, authentication, and 24 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Sifflet Public API
Sifflet's public REST API for programmatically managing data observability resources — assets and workspaces, monitors/rules and rule runs, sources (V2), credentials, domains, c...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
sifflet-mcp.yml
MCP SERVEREvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Sifflet Webhooks
ASYNCAPISecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 4
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