Apache Jena
Apache Jena is a Java framework for building Semantic Web and Linked Data applications. It provides APIs for RDF, SPARQL, OWL, and a triplestore database (TDB2) along with the Fuseki SPARQL server with a REST API for querying and managing RDF datasets.
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.
API Evangelist profiles Apache Jena the way a machine reads it — 46 machine-readable artifacts across 5 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 Jena scores 55.2/100 (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.
How we profile Apache Jena
Each block below is one kind of artifact we hold for Apache Jena. 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 5
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 Jena Java API
The Jena Java API provides programmatic access to RDF model creation, SPARQL query execution, OWL reasoning, and TDB2 triplestore management for building Semantic Web applications.
Apache Jena Dataset Management API
Dataset administration
Apache Jena Graph Store Protocol API
SPARQL Graph Store HTTP Protocol operations
Apache Jena SPARQL Query API
SPARQL 1.1 Query operations
Apache Jena SPARQL Update API
SPARQL 1.1 Update operations
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 Jena Rate Limits
RATE LIMITSFinOps 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.
Apache Jena Finops
FINOPSFeatures 7
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.
SPARQL Query and Update
Full SPARQL 1.1 query and update protocol support via Fuseki REST API.
RDF Model API
Java API for creating, reading, and manipulating RDF graphs.
OWL Reasoning
OWL and RDFS inference via Jena's rule-based and OWL reasoners.
TDB2 Triplestore
Native high-performance RDF triplestore for persistent graph storage.
Graph Store Protocol
SPARQL Graph Store HTTP Protocol for named graph management.
Multiple RDF Formats
Support for Turtle, JSON-LD, N-Triples, RDF/XML, and TriG serialization.
Ontology API
High-level API for working with OWL and RDFS ontologies.
Scroll within the panel for all 7 ·
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.
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 Jena API Rules
SPECTRALApache Jena API Rules
SPECTRALJSON Schema 6
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.
Binding
JSON SCHEMADatasetList
JSON SCHEMADatasetRequest
JSON SCHEMADataset
JSON SCHEMARDFTerm
JSON SCHEMASparqlResults
JSON SCHEMAJSON Structure 6
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.
Fuseki Sparql Api Binding Structure
JSON STRUCTUREFuseki Sparql Api Dataset List Structure
JSON STRUCTUREFuseki Sparql Api Dataset Request Structure
JSON STRUCTUREFuseki Sparql Api Dataset Structure
JSON STRUCTUREFuseki Sparql Api Rdf Term Structure
JSON STRUCTUREFuseki Sparql Api Sparql Results Structure
JSON STRUCTUREExamples 6
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.
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.
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.
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.
Knowledge Graph Management
Build and query knowledge graphs using RDF and SPARQL.
Linked Data Publishing
Publish Linked Data endpoints with Fuseki SPARQL server.
Semantic Search
Enable semantic search over structured RDF datasets.
Data Integration
Integrate heterogeneous data sources using RDF as a common data model.
Integrations 3
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 Solr
Integrate full-text search with SPARQL queries via Solr text index.
Elasticsearch
Full-text search integration for Fuseki text search capabilities.
Spring Framework
Spring integration for Jena RDF operations in enterprise Java apps.
Resources
Every other property we hold for Apache Jena — 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.
Get Started 1
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 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
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