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Apache Samza

Apache Samza is a distributed stream processing framework that provides a simple API for building stateful stream processing applications. It integrates with Apache Kafka for messaging and supports both stream and batch processing.

agent aware

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Apache Samza the way a machine reads it — 50 machine-readable artifacts across 3 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Apache Samza scores 48.6/100 (developing), with a separate agent-readiness read of 39/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 48.6/100 · developing
Contract Quality 14.6 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 10.4 / 12
Discoverability 8.8 / 10
Agent readiness — 39/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Apache Samza

Each block below is one kind of artifact we hold for Apache Samza. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 3

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache Samza Checkpoints API

The Checkpoints API from Apache Samza — 1 operation(s) for checkpoints.

Apache Samza Jobs API

The Jobs API from Apache Samza — 4 operation(s) for jobs.

Apache Samza Tasks API

The Tasks API from Apache Samza — 1 operation(s) for tasks.

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Apache Samza Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 6

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Kafka Integration

Native Apache Kafka consumer/producer for stream processing

YARN Execution

Runs on Apache YARN for resource management and fault tolerance

Stateful Processing

Local state stores with RocksDB for low-latency stateful computations

Exactly-Once Processing

Transactional state stores for exactly-once semantics

Flexible Deployment

Run on YARN, Kubernetes, or standalone

High Level API

Fluent API and SQL support for stream transformations

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Apache Samza Context

8 classes · 17 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Apache Samza API Rules

5 rules · 3 warnings

SPECTRAL

Apache Samza API Rules

13 rules · 5 errors · 7 warnings

SPECTRAL

JSON Schema 8

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

CheckpointList

1 properties

JSON SCHEMA

Checkpoint

3 properties

JSON SCHEMA

JobList

1 properties

JSON SCHEMA

Job

5 properties

JSON SCHEMA

JobStatus

4 properties

JSON SCHEMA

Partition

3 properties

JSON SCHEMA

TaskList

1 properties

JSON SCHEMA

Task

4 properties

JSON SCHEMA

Scroll within the panel for all 8 ·

JSON Structure 8

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Apache Samza Checkpoint List Structure

1 properties

JSON STRUCTURE

Apache Samza Checkpoint Structure

3 properties

JSON STRUCTURE

Apache Samza Job List Structure

1 properties

JSON STRUCTURE

Apache Samza Job Status Structure

4 properties

JSON STRUCTURE

Apache Samza Job Structure

5 properties

JSON STRUCTURE

Apache Samza Partition Structure

3 properties

JSON STRUCTURE

Apache Samza Task List Structure

1 properties

JSON STRUCTURE

Apache Samza Task Structure

4 properties

JSON STRUCTURE

Scroll within the panel for all 8 ·

Examples 8

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 8 ·

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Apache Samza Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Samza Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Apache Samza Agentic Access

6 operations · 2 acting · 1 human-in-the-loop

6 operations · 2 acting

AGENTIC

Use Cases 4

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Event Stream Processing

Real-time processing of Kafka event streams

Stateful Aggregations

Windowed aggregations over streaming data

Stream Joins

Join multiple Kafka streams for enrichment

Change Data Capture

Process CDC events from databases in real time

Integrations 4

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Apache Kafka

Primary messaging system for Samza input and output streams

Apache YARN

Resource management and job scheduling on Hadoop

Apache Hadoop

HDFS integration for checkpoint storage

RocksDB

Embedded state store for local stateful processing

Resources

Every other property we hold for Apache Samza — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Company 1

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/apache-samza · machine-readable index on apis.io