Data-as-a-Service
Hunter combines premium datasets, a powerful Search API, and a proprietary Relationship Engine so teams can turn fragmented records into connected intelligence.
Premium datasets from Nominodata, Hunter-owned sources, public records, partner feeds, and customer uploads — all unified under one API.
Learn more →Entity search, fuzzy matching, enrichment, and relationship queries. Monitoring endpoints and webhooks included.
Learn more →Cross-dataset entity resolution, relationship discovery, confidence scoring, temporal intelligence, and graph intelligence.
Learn more →Double-sided watchlist screening with NamesPlus expansion, Jaro-Winkler scoring, address verification, and metered usage reporting.
Learn more →REST API with clear documentation, REST examples, and sandbox access from day one.
Learn more →Architecture
Hunter ingests data from five source types — Nominodata-powered entity data, Hunter-owned datasets, public records, partner feeds, and customer uploads — then normalizes, matches, resolves relationships, and delivers results through a single REST API with webhooks.
Nominodata, Hunter-owned data, public records, partner feeds, and customer uploads.
Records are validated, deduplicated, and structured into a unified entity model.
Search API and Matching Engine handle fuzzy matching, NamesPlus expansion, and enrichment.
Relationship Engine resolves entities across datasets, scores confidence, and maps connections.
Results delivered via REST endpoints, monitoring hooks, and real-time webhook events.
Every stage is accessible independently or as a complete data layer — from a single Search API query to full Relationship Engine deployment.
Explore the full platform →Search API
Six production-grade endpoints covering the full entity search and enrichment lifecycle. Fuzzy matching handles messy real-world data. Webhooks keep your systems in sync.
View API reference →Relationship Engine
The Relationship Engine resolves entities across disparate datasets, discovers hidden connections, and scores confidence — so your team works with connected intelligence, not fragmented records.
Learn about the engine →Data Sources
Deep entity data from Nominodata — structured, validated, and continuously updated.
Proprietary datasets curated and maintained directly by Hunter for coverage and accuracy.
Aggregated and normalized public record data across jurisdictions and registries.
Vetted third-party data partners extending coverage into specialized domains.
Bring your own data. Hunter enriches and connects it against all other sources.
Use Cases
From due diligence to fraud detection, Hunter powers workflows where data quality and entity relationships are mission-critical.
See all use cases →Pricing
Hunter is available by request. Pricing is based on query volume, data coverage, and Relationship Engine usage. Enterprise agreements include dedicated support, enterprise support terms, and on-premise options.
Sandbox access, limited query volume. For evaluation and integration.
Production access with Search API and enrichment. Volume-based pricing.
Full platform including Relationship Engine, custom data, and enterprise support terms.