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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.

Start free
No credit card500 free requestsNo-code friendly

Knowledge Graph Search API playground

Search an entity. Inspect structured JSON.

Live knowledge graph

Tesla Inc

Submit an entity to run a live search. This endpoint does a broader web search and LLM-validated synthesis, so it can take up to ~30 seconds — and automatically retries once if the first attempt comes back empty.

JSON structured data
{
  "query": "Tesla Inc",
  "entity": null,
  "sources": []
}

Developer experience

Web-search-grounded, not a single-page scrape.

Ask a natural-language question and specify the JSON shape you want back — the Answers endpoint searches multiple sources and returns an LLM-validated result with citations.

REST APIAPI key authenticationJSON responsesMulti-source validationCited sourcesNOT_FOUND on low confidence
Read the docs
curl --request POST \
  --url https://api.olostep.com/v1/answers \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "task": "Give me knowledge graph information about the entity \"Tesla Inc\"",
    "json": {"name": "", "type": "", "description": "", "founded": "", "founders": "", "headquarters": "", "website": ""}
  }'

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
{
  "entity": {
    "entity_id": "kg:/m/0k8z",
    "name": "Example Company",
    "type": ["Company", "Technology company"],
    "description": "A technology company...",
    "official_website": "https://example.com",
    "aliases": ["Example LLC", "Example Inc."]
  },
  "related_entities": [...],
  "sources": [...]
}

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.

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.

  • Starter

    $9/ month

    For testing, prototypes, and small workflows.

    • Everything in Free
    • 5,000 successful requests
    • 150 concurrent requests
    Get started

  • Standard

    $99/ month

    For enrichment, search, and recurring workflows.

    • Everything in Starter
    • 200K successful requests
    • 500 concurrent requests
    Purchase now

  • Scale

    $399/ month

    For high-volume platforms and enterprise workflows.

    • Everything in Standard
    • 1 million successful requests
    • AI-powered browser automations
    Scale now

Frequently asked questions

Product & Capabilities

  • 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.

  • 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.

  • 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

  • Yes. Common workflows enrich records with public descriptions, official websites, categories, aliases, source links, and related entity information.

  • Yes. Entity information is normalized into JSON fields that can be stored, analyzed, indexed, or passed into downstream workflows.

  • Batch workflows can be used where supported to enrich many companies, people, products, places, or topics.

  • Country and language targeting can be used where supported to retrieve localized entity information and region-specific search context.

Pricing & Plans

  • Yes. Structured entity context can support AI research assistants, RAG enrichment, entity-aware chatbots, company intelligence, and recommendation workflows.

  • No. The workflow is designed to reduce custom search, retrieval, parsing, normalization, and enrichment infrastructure.

  • 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.

Collect structured entity data without maintaining search infrastructure

Start with one query and connect public entity intelligence to AI, SEO, research, enrichment, or data workflows.

Get API key
Knowledge Graph Search API for Entity Data | Olostep