example.com
Google - Official website
Public information and supporting context about Google.
Entity intelligence, structured
Knowledge Graph Search API for structured entity intelligence
Search companies, people, places, products, organizations, and topics. Receive structured entity summaries, attributes, relationships, identifiers, and source context in JSON.
No credit card500 free requestsNo-code friendly
Knowledge Graph Search API playground
Search an entity. Inspect structured JSON.
Google Search knowledge graph emulator
US · enexample.org
Google company profile
Public information and supporting context about Google.
Related entities
JSON structured data
{
"search_parameters": {
"query": "Google",
"country": "US",
"language": "en"
},
"entity": {
"entity_id": "kg:/m/0k8z",
"name": "Google",
"type": [
"Company",
"Technology company"
],
"description": "A technology company that develops products and services for organizing and accessing information.",
"official_website": "https://example.com",
"founded": "1998",
"headquarters": "Mountain View, California, United States",
"founders": [
"Founder One",
"Founder Two"
],
"aliases": [
"Google LLC",
"Google Inc."
],
"image": {
"url": "https://example.com/entity-image.jpg",
"alt": "Google logo"
},
"social_profiles": {
"linkedin": "https://linkedin.com/company/example",
"x": "https://x.com/example"
}
},
"related_entities": [
{
"entity_id": "kg:/m/01",
"name": "Artificial intelligence",
"type": "Topic"
},
{
"entity_id": "kg:/m/02",
"name": "Cloud computing",
"type": "Topic"
},
{
"entity_id": "kg:/m/03",
"name": "Search engine",
"type": "Product category"
}
],
"sources": [
{
"title": "Google - Official website",
"url": "https://example.com",
"domain": "example.com"
},
{
"title": "Google company profile",
"url": "https://example.org/company-profile",
"domain": "example.org"
}
],
"metadata": {
"confidence": 0.96,
"result_count": 1,
"generated_for_preview": true
}
}Google-style knowledge panel preview with representative sample data. Field availability depends on the production integration.
Trusted by the best startups in the world
The problem
Entity search is powerful, but difficult to build reliably
Entities are scattered
Company, person, place, product, and topic data is distributed across search results, websites, panels, and public sources.
URLs are not enough
Products need names, descriptions, types, websites, identifiers, aliases, relationships, and references.
Entity matching is messy
Names, spellings, locations, aliases, languages, and formats make normalization and validation difficult.
Structured entity data
Turn search queries into entity intelligence
Discover, enrich, and structure public information for AI agents, lead enrichment, company research, entity resolution, search, and market intelligence.
Entity namesDescriptionsEntity typesOfficial websitesIdentifiersAliasesRelated entitiesSource URLs
Capabilities
Built for scalable entity search workflows
Entity discovery
Search a company, person, place, product, organization, or topic and return structured entity results.
Knowledge panel extraction
Retrieve available summaries, categories, websites, attributes, and related entities.
Structured JSON
Turn entity-search results into cleaner fields for storage, analysis, enrichment, and AI workflows.
Source context
Combine entity data with supporting URLs, domains, snippets, and public search context.
Entity enrichment
Add missing descriptions, websites, categories, aliases, locations, and related public information.
Batch-ready workflows
Run recurring lookups across companies, people, products, places, and topics.
Use cases
Use entity intelligence across your data stack
AI products
Give agents structured entity context before generating answers, reports, or recommendations.
Search platforms
Build entity-aware discovery using names, summaries, categories, websites, and relationships.
Sales enrichment
Enrich company and contact records with public descriptions, websites, and source references.
Market research
Collect structured intelligence about companies, founders, products, industries, and topics.
SEO and content
Understand entities associated with brands, competitors, categories, and search topics.
Data teams
Automate entity lookup, normalization, enrichment, monitoring, and reporting.
How it works
From entity query to usable data
01
Send an entity query
Choose a target query, country, language, and supported search settings.
02
Search and structure
Retrieve public entity information and normalize useful fields and source context.
03
Use the response
Send entity data into AI, CRM, search, enrichment, dashboard, or research workflows.
Developer experience
Simple for one lookup. Flexible for production.
Use API key authentication and structured responses without maintaining search, scraping, parsing, ranking, and normalization infrastructure.
REST APIJSON responsesEntity fieldsSource URLsLocalized contextBatch-ready workflows
Read the docs Request shape
Comparison
Build entity search internally or use an API?
Requirement
Build internally
Use the API
Entity discovery
Build ranking logic
Send a query
Panel parsing
Custom extraction
Structured entity fields
Entity enrichment
Multiple sources and rules
Enrich through responses
Source context
Collect and validate URLs
Receive supporting links
Batch lookups
Queues and monitoring
API workflows
Developer time
High ongoing cost
Faster integration
Give AI agents structured knowledge before they answer
Pass clear context about companies, people, places, products, industries, and topics into research assistants, RAG pipelines, entity-aware chatbots, and intelligence tools.
Pricing
Knowledge Graph Search API pricing
Start with 500 free requests, then scale entity workflows as volume grows.
Frequently asked questions
Product & Capabilities
What is a Knowledge Graph Search API?
A Knowledge Graph Search API searches for entities such as companies, people, places, products, organizations, and topics, then returns structured information including names, descriptions, categories, websites, related entities, and source links.
How is this different from a Web Search API?
A Web Search API returns pages and URLs for a query. A Knowledge Graph Search API focuses on structured entity information connected to the query.
How is this different from a SERP API?
A SERP API returns search-result page elements such as organic links, ads, snippets, and rankings. Knowledge Graph Search API focuses on entity-level summaries, attributes, relationships, and knowledge-panel-style fields.
Usage & Automation
Can I use it for company enrichment?
Yes. Common workflows enrich records with public descriptions, official websites, categories, aliases, source links, and related entity information.
Does the API return structured JSON?
Yes. Entity information is normalized into JSON fields that can be stored, analyzed, indexed, or passed into downstream workflows.
Can I run batch entity searches?
Batch workflows can be used where supported to enrich many companies, people, products, places, or topics.
Does it support country or language targeting?
Country and language targeting can be used where supported to retrieve localized entity information and region-specific search context.
Pricing & Plans
Can I use it for AI agents?
Yes. Structured entity context can support AI research assistants, RAG enrichment, entity-aware chatbots, company intelligence, and recommendation workflows.
Do I need to build an entity parser?
No. The workflow is designed to reduce custom search, retrieval, parsing, normalization, and enrichment infrastructure.
How do I start?
Create an API key, run a sample entity query, inspect the structured response, and connect the result to your product, database, AI workflow, or dashboard.
