Google Cloud Datastore API

Name: Cloud Datastore API
Brand: Cloud Datastore API
Availability: InStock

✓ Official Vendor SpecStorageDatabaseoauth218 EndpointsREST

For Agents

Read, write, query, and transact over entities in Cloud Datastore's NoSQL document database. Lets agents persist application state with strong consistency and ACID transactions.

Install Jentic One Beta

Connect the Cloud Datastore API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Cloud Datastore 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.

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 | sh

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 instance

Jentic 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 Cloud Datastore API.

Look up entities by key in single calls or batched lookups

Run GQL and structured queries against entity kinds with filters and ordering

Commit groups of inserts, updates, upserts, and deletes in atomic transactions

GET STARTED

Start building with Cloud Datastore API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Cloud Datastore API for, with concrete tasks.

★ Schemaless Application State Storage

Persist user profiles, sessions, and operational state in a NoSQL document store with strong consistency on lookups by key. The API's commit operation supports atomic upserts of multiple entities, and lookup batches reads to minimise round-trips. Most applications can replace a small relational store with Datastore in under a day if access patterns are key-based.

POST /v1/projects/{projectId}:lookup with a list of entity keys for users; POST /v1/projects/{projectId}:commit with mutations to upsert their session state

Atomic Multi-Entity Transactions

Begin a Datastore transaction, perform reads and writes, then commit or roll back atomically. POST /v1/projects/{projectId}:beginTransaction returns a transaction id that scopes subsequent lookups and the final commit. This supports use cases such as inventory decrement plus order creation in a single ACID step. Rollback on conflict is exposed as a first-class operation.

Begin a transaction, lookup the inventory entity, decrement its count, upsert an order entity, and commit; rollback on conflict

Backup and Restore via Cloud Storage

Export a Datastore kind to Cloud Storage as a managed backup, then re-import the same files into a different project for disaster recovery or environment refresh. POST /v1/projects/{projectId}:export and :import accept a Cloud Storage URI prefix and entity-filter for kinds and namespaces. Long-running operations let agents poll for completion.

POST /v1/projects/{projectId}:export with outputUrlPrefix gs://acme-backup/datastore/2026-06-10/ and entityFilter for kinds [User, Order]; poll the operation until done

AI Agent State Persistence

An AI agent that needs persistent state across runs can use Datastore through Jentic without operator-written client code. Jentic search returns the matching lookup, query, commit, or transaction operation, the agent loads the schema, and Jentic executes against datastore.googleapis.com using vault-stored credentials. This makes durable agent memory a single intent-search away.

Use Jentic to search 'commit a datastore mutation', load the commit schema, and execute it with an upsert mutation for the agent's state entity

Key Endpoints

18 endpoints — cloud datastore is google's schemaless nosql document database for fully managed, scalable application storage.

METHOD

PATH

DESCRIPTION

POST

/v1/projects/{projectId}:lookup

Look up entities by key

POST

/v1/projects/{projectId}:runQuery

Run a GQL or structured query

POST

/v1/projects/{projectId}:commit

Commit mutations atomically

POST

/v1/projects/{projectId}:beginTransaction

Begin a transaction

POST

/v1/projects/{projectId}:allocateIds

Allocate new entity IDs

POST

/v1/projects/{projectId}:export

Export entities to Cloud Storage

POST

/v1/projects/{projectId}:lookup

Look up entities by key

POST

/v1/projects/{projectId}:runQuery

Run a GQL or structured query

POST

/v1/projects/{projectId}:commit

Commit mutations atomically

POST

/v1/projects/{projectId}:beginTransaction

Begin a transaction

POST

/v1/projects/{projectId}:allocateIds

Allocate new entity IDs

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Google OAuth client secrets and refresh tokens are stored encrypted in the Jentic vault. Agents receive scoped, short-lived access tokens for datastore.googleapis.com; raw credentials never enter the agent context.

Intent-based discovery

Agents search Jentic by intent (e.g. 'commit a datastore mutation') and Jentic returns the matching operation with its input schema, so the agent calls the right endpoint without browsing the discovery doc.

Time to first call

Direct Datastore integration: 1-2 days for OAuth and entity-key construction. Through Jentic: under 1 hour.

FAQs

Specific to using Cloud Datastore API through Jentic.

What authentication does the Cloud Datastore API use?

The Cloud Datastore API uses OAuth 2.0 with the datastore or cloud-platform scope. Through Jentic the OAuth client and refresh tokens are stored in the Jentic vault and the agent receives short-lived scoped access tokens, so raw Google credentials never enter the agent context.

Can I run transactions with the Cloud Datastore API?

Yes. Call POST /v1/projects/{projectId}:beginTransaction to obtain a transaction id, perform lookups and queries with that id, then commit the mutations atomically with POST /v1/projects/{projectId}:commit, or roll back via :rollback. Conflicts on serializable transactions are surfaced and require client retry.

What are the rate limits for the Cloud Datastore API?

Google enforces standard Cloud quotas on datastore.googleapis.com: per-project read/write entity-operation quotas, transaction quotas, and admin operation limits for export and import. Quotas are visible in the Cloud Console under IAM and admin, quotas, filtered to datastore.googleapis.com.

How do I run a GQL query through Jentic?

Search Jentic for 'run a datastore gql query', load the schema for POST /v1/projects/{projectId}:runQuery, and execute it with gqlQuery.queryString set. Jentic returns the batch of entities and the cursor for paginated continuation.

Is the Cloud Datastore API free?

Datastore has a daily free tier (entity reads, writes, deletes, and a stored-data allowance). Beyond the free tier you pay per million entity operations and per GiB of stored data; see the official pricing page for current rates.

How do I export a Datastore kind to Cloud Storage?

Call POST /v1/projects/{projectId}:export with outputUrlPrefix as a gs:// URI and entityFilter listing kinds and namespaces. The response is a long-running operation; poll its name endpoint until done is true and metadata.outputUrlPrefix is set.

Google Cloud Datastore API

Connect the Cloud Datastore API to your agent

Capabilities

Start building with Cloud Datastore API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs