Documentation
Everything you need to integrate Entity Enricher into your data pipeline.
Getting Started
Get up and running in minutes:
- Create an account and set up your organization
- Configure your LLM provider API keys
- Generate or upload a JSON schema for your entity type
- Start enriching entities — individually or in batch
- Use the API for programmatic access with organization access keys
- 1The stepper, from sample to database
- 2The schema, property by property
- 3Models, languages and the search keys to enrich from
Interactive API Docs
Interactive API documentation with request/response examples. Requires authentication.
Authentication
The API supports two authentication methods: Bearer JWT tokens for web clients, and API keys (format: ent_XXXX) for programmatic access via the X-API-Key header.Learn more →
Documentation
Getting Started
Quick links, authentication, and Swagger / ReDoc API explorers.
Core Concepts
Schemas, expertise domains, enrichment strategies, and the quality controls that make output reliable.
Enrichment Flow
Step-by-step walkthrough of the enrichment pipeline from input to structured output.
Strategies
Single-pass vs expert-domains vs multi-expertise — when to use each.
Classification
Pre-flight entity-type check that prevents enriching the wrong kind of thing.
Multi-Model Fusion
Field-level conflict detection with rule-based merging or LLM-arbitrated resolution.
Multilingual
Enrich in 40 languages with one portable, database-agnostic JSON format.
Semantic IDs
Stable, org-scoped IDs that dedupe the same entity across enrichments, languages, and time.
Document Attachments
Attach PDFs, images, Office documents and text files to any enrichment job.
Hallucination Prevention
8 defense layers that stop LLMs from fabricating structured data.
Cost Optimization
How prompt caching, schema subsetting, and smart gating keep enrichment cheap.
AI Generation
Generate a JSON schema from natural language or a sample document, with LLM self-correction.
Ambiguity Check
Spot property names that could be asking more than one question, and pin them to a single meaning.
Validation Rules
8 validation rules that catch broken schemas before they reach a model.
Workflow Editor
Build an enrichment end to end — sample, schema, models, results — with a visual property-tree editor.
Batch Processing
Enrich up to 100 entities in parallel with real-time progress and export.
Playground
Test custom prompts against any AI model with response formatting, token tracking and persistent history.
History
Browse, filter, and analyze every enrichment result with grouping, search keys, and batch operations.
Semantic IDs Page
Browse, curate and export your concept vocabulary: similarity comparison, duplicate hunting, imports, deletion, embedding-model migration.
Database Sync
Mirror enrichments into your own PostgreSQL: SQL snapshot download plus an idempotent delta feed with acknowledgements.
Cost Dashboard
Real-time cost analytics with time-series charts, performance metrics, and per-model breakdowns.
Organizations & Roles
Multi-tenant management with 4 roles, team invitations, and per-org API keys.
Models & Pricing
LLM model management, automatic pricing sync, health checks, and BYOK support.
Model Routes & Capabilities
Why a model's capabilities depend on the API endpoint it is called on, and how Entity Enricher measures them per route.
Model Benchmarks
Compare models on a saved enrichment scenario — output and cost, side by side.
Benchmark Scoring
How quality scores are computed against a gold reference — equivalence, arrays, sub-scores.
API Keys
Programmatic access via X-API-Key, scopes, and organization access keys.
n8n Connector
Official n8n community node: actions, dynamic dropdowns, and SSE-backed enrichments.
Make.com Connector
Make.com Custom App with 7 first-class modules and dynamic RPC dropdowns.
MCP Server
Embedded Model Context Protocol server for Claude Desktop / Code / Cursor — call enrichments directly from a chat.
Ollama Tunnels
Run local Ollama against the hosted API via reverse WebSocket — no public ports, no SSH.
ee-database Sync Client
Open-source apply client: mirror your database sync into your own PostgreSQL over an outbound WebSocket, snapshot + lease/ack delta feed.
API Reference
Complete REST API reference with authentication, endpoints, and code examples.
Use Cases
Pharmaceutical
Drug labels, ATC codes, indications, multilingual product info.
Finance
Public-company financials, regulatory filings, structured market data.
Legal & Compliance
Entity due diligence, sanctions screening, contract metadata extraction.
Academic Research
Author profiles, paper metadata, institutional affiliations.
Real Estate
Property data, market comparisons, zoning and regulatory context.
E-commerce
Product catalog enrichment: attributes, categories, compliance, multilingual content.
Compare
vs Parallel AI
Multi-model fusion, documents and database sync vs a single web-research agent with per-field confidence.
vs AI Research Agents
A typed schema and relational persistence vs prompt-per-column agents in a spreadsheet.
vs DIY LLM Pipeline
Buy the orchestration vs building it yourself with Instructor, BAML, or LangChain.
vs LlamaExtract
Enrich from model knowledge and the web vs extracting structure from documents.
vs Diffbot
Enrich the entities you define vs querying a prebuilt web knowledge graph.
vs Supabase MCP
From JSON to relational data: compare agent-written SQL with reviewed identity, relationships and database sync.
Guides
Features
Badge
Show that your app is powered by Entity Enricher. Add the badge to your site or README.
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