APIfeeder

APIfeeder is a software platform designed to ingest, transform, and distribute data sourced from multiple application programming interfaces (APIs). It acts as an integration hub that connects to external services, standardizes heterogeneous data, and delivers consistent feeds to applications, dashboards, data warehouses, and other downstream consumers. The goal is to simplify API-driven data pipelines by providing reusable connectors, data transformation, and delivery mechanisms in a single, extensible system.

At its core, APIfeeder consists of connectors or adapters for individual APIs, a central orchestration engine, a transformation layer, and one or more delivery channels. Connectors handle authentication and rate limits for target APIs, while the transformation layer supports mapping, filtering, enrichment, and schema normalization. Delivery channels can stream data in real time or batch it for scheduled delivery, with options for webhooks, message queues, or direct HTTP pushes.

Key features include support for REST, GraphQL, and other protocols; flexible authentication management (OAuth, API keys); data quality controls and versioned schema discovery; scheduling, event triggers, and real-time streaming; robust error handling with retries and backoff; caching and delta updates; observability through logs and traces; and a plugin architecture for custom adapters.

APIfeeder supports self-hosted deployments in containerized environments such as Kubernetes as well as cloud-hosted or software-as-a-service offerings. It is designed for teams integrating multiple external APIs, data teams building centralized feeds for analytics, and developers delivering consistent API data to microservices. The platform emphasizes security, auditing, and governance to meet enterprise requirements.