Feldera
Feldera is an incremental compute engine for running complex SQL data pipelines in real time. Rather than reprocessing entire datasets, it updates materialized views proportionally to the changes in the input data, delivering low-latency, low-cost results for use cases such as fraud detection, feature engineering, change data capture, and real-time dashboards. Feldera is built on the DBSP incremental computation theory and is available as an open-source engine, a self-hosted enterprise platform, and a hosted online sandbox (try.feldera.com). Developers define pipelines as SQL programs with input/output connectors and manage them through the Feldera REST API, a Python client, and the fda CLI. Backed by Costanoa Ventures.
Feldera publishes 6 APIs on the APIs.io network, including Input Connectors API, Metrics & Debugging API, Output Connectors API, and 3 more. Tagged areas include Company, Data Infrastructure, Streaming, SQL, and Incremental View Maintenance.
Feldera’s developer surface includes documentation, API reference, getting-started guide, authentication, CLI, sandbox, changelog, and 27 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Feldera Input Connectors API
The Input Connectors API from Feldera — 5 operation(s) for input connectors.
Feldera Metrics & Debugging API
The Metrics & Debugging API from Feldera — 15 operation(s) for metrics & debugging.
Feldera Output Connectors API
The Output Connectors API from Feldera — 2 operation(s) for output connectors.
Feldera Pipeline CRUD API
The Pipeline CRUD API from Feldera — 2 operation(s) for pipeline crud.
Feldera Pipeline Lifecycle API
The Pipeline Lifecycle API from Feldera — 20 operation(s) for pipeline lifecycle.
Feldera Platform API
The Platform API from Feldera — 9 operation(s) for platform.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
feldera-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 3
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 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
Other 1
Properties that don't map to a standard resource type