Google Cloud Dataplex API
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For Agents
Manage data lakes, zones, assets, and metadata catalog entries in Cloud Dataplex. Lets agents run data quality scans, search the catalog, and apply governance policies programmatically.
Use for: I need to run a data quality scan on a BigQuery table, Search the Dataplex catalog for entries containing 'orders', Create a lake and a raw zone over a Cloud Storage bucket, Generate data quality rules from a data profile scan result
Not supported: Does not run BigQuery queries, transform data in place, or replace BigQuery's IAM — use for lake, zone, asset governance, data scans, and unified catalog search only.
Cloud Dataplex is Google's data lake management service: it organises data spread across BigQuery, Cloud Storage, and other sources into governed lakes, zones, and assets. The API exposes 53 endpoints covering lakes and zones, content (notebooks and SQL scripts), data scans for quality and profiling, data taxonomies and policies, plus a unified entry-and-aspect catalog for metadata search. Agents and platform teams use it to enforce governance and discover data without standing up a separate metadata store.
Install Jentic One Beta
Connect the Cloud Dataplex API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Cloud Dataplex 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 Cloud Dataplex API.
Create lakes, zones, and assets that group BigQuery and Cloud Storage data under governance
Run data quality and data profile scans and generate quality rule recommendations
Search the unified Dataplex Catalog by entry name, aspect, or fully qualified name
Define aspect types and entry types that classify catalog metadata
Manage notebooks and SQL scripts as first-class content under a lake
Trigger and inspect data taxonomies that drive column-level policy tags
Use Cases
Patterns agents use Cloud Dataplex API for, with concrete tasks.
★ Automated Data Quality Scans
Define data quality rules on BigQuery tables and run them on a schedule, with results surfaced through the Dataplex UI and the API. The service returns a DataScanJob with rule-by-rule pass and fail counts so platform teams can route failures into incident channels. generateDataQualityRules lets agents bootstrap rules from a profile scan instead of writing them by hand.
Trigger DataScan 'orders-quality' via POST /v1/{+name}:run, poll the resulting DataScanJob until state is SUCCEEDED, and report any rule failures back to the operator
Unified Metadata Catalog Search
Search across all entries in a project's Dataplex catalog using POST /v1/{+name}:searchEntries with full-text and structured filters. The catalog covers BigQuery datasets and tables, Cloud Storage filesets, and custom entry types, so an agent can locate the right dataset without prior knowledge of which service it lives in. Results include entry name, type, and aspects.
Search Dataplex entries for query 'orders' across project 'acme-data', filter by entry type bigquery-table, and return the top 20 fully qualified names
Lake-Zone-Asset Governance Setup
Stand up a Dataplex lake with raw and curated zones, then attach Cloud Storage and BigQuery assets so they inherit lake-level IAM and lifecycle policies. The API exposes create, list, update, and delete operations on lakes, zones, and assets, plus environments for lake-scoped notebooks. This is the foundation for governed data platforms on Google Cloud.
Create lake 'sales-lake', then a zone 'raw' of type RAW, then attach asset of resource type STORAGE_BUCKET pointing to gs://acme-sales-raw/
AI Agent Data Governance Operator
An AI agent can manage lakes, run scans, and search the catalog through Jentic without operator hand-holding. Jentic search returns the matching Dataplex operation by intent, the agent loads the schema, and Jentic executes against dataplex.googleapis.com using vault-stored credentials. This compresses governance work that would otherwise require multiple SDK calls and bespoke OAuth handling.
Use Jentic to search 'run a dataplex data quality scan', load the run-DataScan schema, and execute it on DataScan 'orders-quality'
Key Endpoints
53 endpoints — cloud dataplex is google's data lake management service: it organises data spread across bigquery, cloud storage, and other sources into governed lakes, zones, and assets.
METHOD
PATH
DESCRIPTION
POST
/v1/{+parent}/lakes
Create a Dataplex lake
POST
/v1/{+parent}/dataScans
Create a data quality or profile scan
POST
/v1/{+name}:run
Run a DataScan or task on demand
POST
/v1/{+name}:searchEntries
Search the Dataplex catalog
GET
/v1/{+name}:lookupEntry
Look up a catalog entry by fully qualified name
POST
/v1/{+name}:generateDataQualityRules
Generate quality rules from a profile scan
POST
/v1/{+parent}/lakes
Create a Dataplex lake
POST
/v1/{+parent}/dataScans
Create a data quality or profile scan
POST
/v1/{+name}:run
Run a DataScan or task on demand
POST
/v1/{+name}:searchEntries
Search the Dataplex catalog
GET
/v1/{+name}:lookupEntry
Look up a catalog entry by fully qualified name
POST
/v1/{+name}:generateDataQualityRules
Generate quality rules from a profile scan
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 dataplex.googleapis.com; raw credentials never enter the agent context.
Intent-based discovery
Agents search Jentic by intent (e.g. 'run a dataplex data quality scan') 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 Dataplex integration: 2-4 days for OAuth, lake/zone/asset modelling, and scan-job polling. Through Jentic: under 1 hour.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Cloud Dataplex API through Jentic.
What authentication does the Cloud Dataplex API use?
Cloud Dataplex uses OAuth 2.0 with the 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 data quality scans with the Cloud Dataplex API?
Yes. Create a DataScan of type DATA_QUALITY or DATA_PROFILE, then call POST /v1/{+name}:run to trigger a job. generateDataQualityRules can bootstrap rules from a profile result, so agents do not have to author them by hand.
What are the rate limits for the Cloud Dataplex API?
Google enforces standard Cloud quotas on dataplex.googleapis.com: per-project rate limits on read/write calls and quotas on concurrent DataScan and task executions. Quotas are visible in the Cloud Console under IAM and admin, quotas, filtered to dataplex.googleapis.com.
How do I search the Dataplex catalog through Jentic?
Search Jentic for 'search dataplex catalog entries', load the schema for POST /v1/{+name}:searchEntries, and execute with the project name, query string, and optional scope filter. Jentic returns the list of matching entries and their aspects.
Is the Cloud Dataplex API free?
Lake, zone, and catalog metadata operations are free. Data quality and data profile scan executions are billed by data-scanned and runtime, plus the underlying BigQuery and Spark costs. See the Dataplex pricing page for the latest rates.
How do I look up a single catalog entry by name?
Call GET /v1/{+name}:lookupEntry with the fully qualified entry name (for example projects/acme/locations/us/entryGroups/@bigquery/entries/...) to fetch the entry plus its aspects in one call. This is faster than searchEntries when the FQN is already known.
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