Apache Lucene
Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It provides indexing and search technology, as well as spellchecking, hit highlighting, faceting, vector similarity search, and advanced analysis and tokenization capabilities. Lucene is the foundation for many popular search applications including Apache Solr.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Apache Lucene the way a machine reads it — 28 machine-readable artifacts across 1 API, 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 Lucene scores 25.0/100 (emerging), with a separate agent-readiness read of 7/100 (human only). 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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Apache Lucene
Each block below is one kind of artifact we hold for Apache Lucene. 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 1
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 Lucene
Lucene provides a comprehensive Java API for full-text indexing, searching, faceting, hit highlighting, spatial search, vector nearest-neighbor search, and text analysis with su...
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 Lucene 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 Lucene Finops
FINOPSFeatures 10
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.
Full-Text Indexing
High-performance full-text indexing with over 800GB/hour throughput on modern hardware with minimal RAM requirements.
Vector Nearest-Neighbor Search
Native support for approximate and exact k-nearest-neighbor vector similarity search alongside traditional keyword search.
Advanced Query Types
Supports phrase queries, wildcard, proximity, range, fuzzy, and fielded queries with pluggable query parsers.
Faceting and Grouping
Built-in faceted search and result grouping capabilities for navigation and aggregation.
Hit Highlighting
Highlights search keywords in result snippets using the Highlighter and UnifiedHighlighter modules.
Spell Checking and Suggestions
Auto-suggest and spell-checking support via the Suggest module with multiple suggester implementations.
Pluggable Analyzers
Extensive analyzer ecosystem supporting dozens of languages including ICU, Kuromoji (Japanese), Nori (Korean), OpenNLP, and more.
Pluggable Ranking Models
Supports Vector Space Model, Okapi BM25, and custom pluggable similarity implementations.
Spatial Search
Geospatial search capabilities via the Spatial and Spatial3D modules.
Replication Support
Index replication support via the Replicator module for leader-follower architectures.
Scroll within the panel for all 10 ·
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.
Use Cases 5
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.
Enterprise Search
Power full-text search across enterprise documents, emails, databases, and file systems.
E-Commerce Product Search
Implement fast, relevant product search with facets, autocomplete, and spell correction.
Log and Event Search
Index and search structured and unstructured log data for observability and security analytics.
Semantic Search
Combine keyword search with vector embeddings for hybrid semantic and lexical retrieval.
Knowledge Base Search
Build searchable knowledge bases and documentation portals with rich query capabilities.
Integrations 7
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
Apache Solr is built on top of Lucene and adds distributed search, REST API, and enterprise features.
Elasticsearch/OpenSearch
Elasticsearch and OpenSearch use Lucene as their underlying search engine.
Apache Hadoop
Lucene integrates with Hadoop for large-scale distributed indexing pipelines.
Apache Tika
Apache Tika extracts text from thousands of file formats for indexing into Lucene.
Apache OpenNLP
OpenNLP provides NLP analysis capabilities integrated through Lucene analyzers.
Apache Nutch
Apache Nutch is a web crawler that stores and indexes content via Lucene.
Lucene.NET
Official .NET port of Apache Lucene, maintained in the apache/lucenenet repository.
Scroll within the panel for all 7 ·
Resources
Every other property we hold for Apache Lucene — 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
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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