Streambased
Streambased unifies Apache Kafka and Apache Iceberg into a single queryable view, making real-time streaming data and historical table data accessible together without copying data, building new pipelines, or changing existing tools. Its zero-copy architecture turns live Kafka topics into Iceberg tables queryable with SQL in milliseconds, while metadata, schema rules, and access controls carry over from Kafka to Iceberg for unified governance. The platform ships as Streambased Cloud (managed) and the Streambased Platform components I.S.K. (Iceberg Service for Kafka), K.S.I. (Kafka Service for Iceberg), Hyperstream, and Slipstream, and is consumed through the Apache Iceberg REST catalog interface and native Apache Kafka protocol using per-cluster API keys. Backed by Seedcamp.
Streambased is profiled on the APIs.io network. Tagged areas include Company, Data, Streaming, Apache Kafka, and Apache Iceberg.
Streambased’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, support, YouTube channel, and 13 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| Streaming (Apache Kafka protocol) | undeclared | - | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Access & Security 4
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.