Google Knowledge Graph Search API
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For Agents
Search the Google Knowledge Graph for entities and return Schema.org JSON-LD results with names, types, descriptions, and images. Useful for entity enrichment and autocomplete.
Use for: Search the Google Knowledge Graph for 'Marie Curie', Find all Knowledge Graph entities matching 'Apple' filtered to Organization, Look up an entity by its kg machine id, I want to enrich a contact record with a Knowledge Graph identifier
Not supported: Does not write to the Knowledge Graph, return web search results, or expose entity relationships beyond the @type field — use only for read-only entity lookup.
The Knowledge Graph Search API exposes a single endpoint that searches Google's Knowledge Graph for entities — people, places, organizations, films, and other notable things — and returns Schema.org-formatted results with names, descriptions, types, image URLs, and detailed descriptions. It is intended for autocomplete experiences, entity disambiguation, and enrichment of internal records with canonical Google identifiers. The API is read-only and works with a simple API key.
Install Jentic One Beta
Connect the Knowledge Graph Search API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Knowledge Graph Search API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Knowledge Graph Search API.
Search the Knowledge Graph by free text query and return ranked entity matches
Filter entity results by Schema.org type such as Person, Organization, or Movie
Restrict results to a specific language for localized names and descriptions
Limit results to a maximum number of entities per query
Look up an entity directly by its Knowledge Graph machine ID
Receive Schema.org JSON-LD output with image URLs and detailed descriptions
Use Cases
Patterns agents use Knowledge Graph Search API for, with concrete tasks.
★ Entity enrichment for CRM records
Marketing and sales operations teams enrich company and contact records with stable Knowledge Graph IDs so multiple internal systems can refer to the same canonical entity. A single GET /v1/entities:search call with a company name and types=Organization returns ranked candidates with descriptions and image URLs the agent can use to confirm a match.
Search the Knowledge Graph for query 'Stripe' with types=Organization and limit=3, then return the top result's @id, name, and description.
Autocomplete for entity pickers
Apps that let users tag content with people, films, or places call entities:search as the user types. Each request returns ranked entity matches with image URLs and short descriptions, which is enough to render a rich dropdown without maintaining an internal entity database.
On each keystroke, call entities:search with the partial query and limit=5, then render the resulting names and image URLs in the dropdown.
Disambiguating ambiguous names
When a user types a query like 'Mercury' the same string can refer to a planet, a chemical element, a band, or a brand. The Knowledge Graph Search API returns ranked candidates with type and description so an agent can surface a disambiguation list rather than guessing which Mercury the user meant.
Call entities:search?query=Mercury&limit=5 and present each result's @type and description so the user can pick.
Agent-driven knowledge enrichment via Jentic
An agent answering questions about real-world entities can call the Knowledge Graph Search API through Jentic without managing API keys. Jentic surfaces the single search operation in natural language and returns the schema, so the agent can cite Google's canonical entity description when grounding its answer.
When asked 'who is Hedy Lamarr', call google_kgsearch_query with query='Hedy Lamarr' and return the top result's detailedDescription.articleBody.
Key Endpoints
1 endpoints — the knowledge graph search api exposes a single endpoint that searches google's knowledge graph for entities — people, places, organizations, films, and other notable things — and returns schema.
METHOD
PATH
DESCRIPTION
GET
/v1/entities:search
Search the Knowledge Graph for entities by query, types, language, and limit
GET
/v1/entities:search
Search the Knowledge Graph for entities by query, types, language, and limit
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
The Google Cloud API key is stored encrypted in the Jentic vault and injected as the key query parameter at execution time. The agent never sees the raw key value.
Intent-based discovery
Agents search Jentic with phrases like 'search google knowledge graph' or 'look up entity by name' and Jentic returns the entities:search operation with documented query, types, and limit parameters.
Time to first call
Direct integration: 1-2 hours to enable the API, mint a key, and parse the JSON-LD response. Through Jentic: under 10 minutes — search, load, execute.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Knowledge Graph Search API through Jentic.
What authentication does the Knowledge Graph Search API use?
A simple API key passed as the key query parameter. The spec lists no OAuth scheme, so the only credential is a Google Cloud API key with the Knowledge Graph Search API enabled. Through Jentic the API key sits in the encrypted vault and is injected at execution time.
What types can I filter Knowledge Graph results by?
The types parameter accepts any Schema.org type, with Person, Organization, Place, Movie, Book, and Event being the most common. Pass multiple types to broaden the search, e.g. types=Person&types=Organization.
What are the rate limits for the Knowledge Graph Search API?
Google's default quota is 100,000 queries per day per project with a per-second burst limit set per API key. Quotas can be raised in the Cloud console for high-volume autocomplete use cases.
How do I look up an entity through Jentic?
Run jentic search 'search the google knowledge graph' to find GET /v1/entities:search, jentic load to fetch its parameters, then jentic execute with query, types, languages, and limit. Jentic handles the API key transparently.
Can I retrieve an entity by its Knowledge Graph ID?
Yes. Pass the machine id as the ids query parameter on /v1/entities:search to fetch a specific entity directly without a free-text query.
Is the Knowledge Graph Search API free?
There is no per-call charge — usage is bounded only by the daily quota of 100,000 queries per project. Higher tiers require a quota increase request through Google Cloud.
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