Explorium is a B2B data aggregator: it unifies dozens of third-party data providers behind one API and, like Entity Enricher, exposes an MCP server so AI agents can fetch signals directly. The architectural difference is the source of truth. Explorium routes your query to purchased datasets about companies and contacts; Entity Enricher generates records in your own schema from LLM knowledge and your own documents, cross-validated across multiple models -- for any entity type, in any of 40 languages.
Answers are produced by multiple LLMs against your schema and cross-checked field by field, with conflicts arbitrated and the reasoning recorded.
Answers are looked up in bundled third-party datasets. Coverage and freshness depend on which provider holds the record -- there is no cross-validation between them per field.
Products, compounds, properties, papers, companies -- if you can define a schema for it, you can enrich it, including from attached PDFs, images, and audio.
Built for go-to-market teams: firmographics, technographics, contacts, and intent signals for companies. Other entity types are outside the catalog.
The MCP server exposes the full enrichment workflow: schema authoring, single and batch jobs, fusion, benchmarks, and interactive resume when a job needs a human-style answer.
The MCP server exposes its data catalog so agents can pick signals per workflow -- a retrieval surface over aggregated datasets rather than a schema-driven enrichment engine.
Bring your own LLM API keys and pay token costs with no markup, or use integrated keys with usage-based credits. Every enrichment's cost is visible in the dashboard.
Consumption is priced in credits that cover the underlying data purchases, with platform packages typically scoped in a sales process.
| Feature | Entity Enricher | Explorium |
|---|---|---|
| Custom Output Schema | ||
| Any Entity Type | Companies & contacts | |
| Multi-Model Enrichment | ||
| Fusion & Conflict Resolution | ||
| MCP Server for AI Agents | ||
| Multilingual Enrichment (40 languages) | ||
| Enrich from Your Documents (PDF, image, audio) | ||
| Semantic IDs & Deduplication | Company/contact matching | |
| Bring Your Own LLM Keys | ||
| Aggregated Third-Party B2B Datasets | ||
| Buyer Intent & GTM Signals | ||
| Self-Serve Signup | Sales-led for full platform | |
| Pricing Model | Pay-per-token (BYOK) | Credit packages, custom quotes |
Pay-per-token
Free tier, usage-based credits, and no markup with your own LLM API keys. No data-purchase credits -- you pay for model tokens, not per-record lookups.
Credit packages
Usage is priced in credits that cover the aggregated third-party data, with platform packages and enterprise agreements typically scoped through sales.
Generate verified, schema-shaped records for any entity type -- from LLM knowledge and your own documents -- and drive it all from your AI agent over MCP.
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