Understand Every Relationship in Your Data

Advanced NER

State-of-the-art named entity recognition using advanced ML models with support for custom entity types and high accuracy across domains.

Relationship Extraction

Intelligent relationship detection between entities using proprietary models to understand context and semantic connections.

Knowledge Graph Generation

Automatically build structured knowledge graphs with nodes, edges, and properties from your extracted entities and relationships.

Multiple Processing Methods

Choose from Standard, Premium, or Enterprise processing methods based on your accuracy and budget requirements.

Secure & Scalable

Enterprise-grade security with JWT tokens, API keys, rate limiting, and comprehensive usage tracking and analytics.

Token-Based Billing

Transparent usage-based pricing with accurate token counting, real-time cost calculation, and flexible subscription plans.

Standard Processing

Cost-effective processing using optimized pipeline with ML model integration. Perfect for general-purpose applications.

Premium (Advanced ML)

Advanced entity recognition and relationship extraction with custom entity types and superior accuracy for complex texts.

Enterprise Processing

State-of-the-art knowledge extraction optimized for scientific and technical content with maximum accuracy.

Quick Start

curl -X POST "https://api.kgb.metaomnis.com/extract-entities" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Apple Inc. was founded by Steve Jobs.",
    "entity_types": ["PERSON", "ORG"]
  }'

Response Format

{
  "entities": [
    {
      "text": "Apple Inc.",
      "label": "ORG",
      "start": 0,
      "end": 10,
      "confidence": 0.99
    }
  ],
  "usage": {
    "input_tokens": 12,
    "output_tokens": 45
  }
}