Google Container Analysis API
Browse all Google APIs40
AI ReadinessNon-Ready (F)40/100
Official vendor OpenAPI document · agent-readySecurityVulnerability Managementoauth216 EndpointsREST
For Agents
Query vulnerability findings and build provenance for Artifact Registry images, attach custom security notes, and export SBOMs so an agent can gate deployments on supply-chain risk.
Use for: I need to list all vulnerabilities for a specific container image, Get the SBOM for an image in Artifact Registry, Find all critical CVEs across our project's images, Create a custom attestation note for a signed build
Not supported: Does not run vulnerability scans, store images, or enforce deploy policy - use only to query and author finding metadata stored as notes and occurrences.
Google Container Analysis API stores and serves vulnerability, build, deployment, and SBOM metadata produced by Artifact Registry scanning, Advanced Vulnerability Insights, and other producers. It exposes notes (the metadata definitions, e.g. a CVE) and occurrences (instances of those notes against a specific resource URL such as a container image). Consumers can list occurrences for an image, attach custom notes, manage IAM on notes, and trigger an SBOM export for a scanned artifact. It is the metadata backbone for image-supply-chain security on Google Cloud.
Install Jentic One Beta
Connect the Container Analysis API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Container Analysis 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://jentic.com/install.sh?src=apis&api=%2Fapis%2Fgoogleapis.com%2Fcontaineranalysis" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fgoogleapis.com%2Fcontaineranalysis" | 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 Container Analysis API.
List vulnerability and other occurrences for a specific container image URL
Create custom notes describing vulnerabilities, attestations, or build provenance
Attach occurrences linking a note to a specific image or other resource
Manage IAM policies on notes to control who can author findings
Trigger an SBOM export for a scanned image stored in Artifact Registry
Aggregate occurrence summaries across all images in a project
Filter findings by severity, CVE ID, or fixable status
Use Cases
Patterns agents use Container Analysis API for, with concrete tasks.
★ Deployment Gate on Critical Vulnerabilities
A CI/CD pipeline calls Container Analysis after each Artifact Registry push to list occurrences of vulnerability notes against the new image. If any CRITICAL severity finding is unfixed, the pipeline aborts the deploy. The Container Analysis API surfaces the full occurrence list including CVE IDs, fixed package versions, and effective severity.
List occurrences for resourceUrl 'https://us-docker.pkg.dev/proj/repo/api@sha256:abc' and return any with severity CRITICAL and fixAvailable false.
SBOM Export for Compliance
A regulated team needs an SPDX or CycloneDX SBOM for every production image. Container Analysis exposes exportSBOM, which writes the artifact's component graph to Cloud Storage. Compliance auditors download SBOMs from a known bucket without needing to install scanning tooling.
Trigger exportSBOM for the image 'https://us-docker.pkg.dev/proj/repo/web@sha256:def' and return the resulting Cloud Storage URI.
Custom Attestation Authoring
A security team writes attestations (signed assertions about a build) as Container Analysis notes and links them to images via occurrences. Binary Authorization at deploy time references those attestations to enforce that only trusted builds run on GKE. The API exposes notes.create, occurrences.create, and IAM management to gatekeep authoring.
Create a note of kind ATTESTATION named 'prod-signoff', attach an occurrence linking it to image digest sha256:abc, and set its IAM policy to restrict writes to securityteam@example.com.
Cross-Project Vulnerability Dashboard
A security analytics dashboard pulls occurrence summaries from Container Analysis across every project to plot fixable critical CVEs by team. The API's filtered occurrence list, combined with note metadata, gives the dashboard severity, CVSS, and remediation hints without scraping logs.
List all occurrences in project 'shared-security' filtered to vulnerability kind and severity CRITICAL, and group results by image repository.
Key Endpoints
16 endpoints — google container analysis api stores and serves vulnerability, build, deployment, and sbom metadata produced by artifact registry scanning, advanced vulnerability insights, and other producers.
METHOD
PATH
DESCRIPTION
GET
/v1/{+name}/occurrences
List occurrences in a project
GET
/v1/{+name}/notes
List notes in a project
POST
/v1/{+name}:exportSBOM
Export the SBOM for a scanned image
GET
/v1/{+name}
Get a specific note or occurrence
GET
/v1/{+name}/occurrences
List occurrences in a project
GET
/v1/{+name}/notes
List notes in a project
POST
/v1/{+name}:exportSBOM
Export the SBOM for a scanned image
GET
/v1/{+name}
Get a specific note or occurrence
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
C
Container Analysis API
- Non-Ready (F)40/100
43
Foundational Compliance56
Developer Experience & Jentic Compatibility19
AI-Readiness & Agent Experience94
Agent Usability63
Security62
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
43
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: DSignals: 4
56%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
0%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
17%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
56
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: CSignals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
25%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
19
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: FSignals: 4
77%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
0%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
0%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
63
Security
Trust, risk posture, and security compliance.
Grade: B-Signals: 1
62%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
62
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: B-Signals: 1
62%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Container Analysis by hand means setting up Google OAuth, minting short-lived cloud-platform tokens from a service account instead of a raw JSON key, and addressing note and occurrence resources on containeranalysis.googleapis.com. Through Jentic you install once, import the Container Analysis API from the API Directory, store the Google credential once, and your agent calls it.
Permission scoping
The API carries the project and resource name in the URL path (/v1/{name}/occurrences and /v1/{name}/notes), so a rule can pin your agent to one project's finding metadata. You choose the operations it may call, so it can list occurrences and notes and export an SBOM while anything you leave out stays unavailable.
Credential isolation
Your Google service account credential is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'list vulnerabilities for a container image', and Jentic returns the matching Container Analysis occurrences operation with its filter syntax and input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Container Analysis API through Jentic.
What authentication does the Container Analysis API use?
The Container Analysis API uses Google OAuth 2.0 with the cloud-platform scope. Through Jentic the service account credentials are stored encrypted in your Jentic One instance, and agents receive scoped access tokens minted per request.
Can I list vulnerabilities for a single container image with the Container Analysis API?
Yes. Call occurrences.list with a filter on resourceUrl matching your image's full digest URL and on kind=VULNERABILITY. Each returned occurrence contains the linked note (CVE), severity, package, fix version when available, and effective severity.
What are the rate limits for the Container Analysis API?
Container Analysis applies per-project read and write quotas, with stricter limits on exportSBOM because it triggers a long-running operation. Inspect the Cloud Console Quotas page for the precise per-method limits in your project.
How do I export an SBOM for a deployed image through Jentic?
Run pip install jentic, search Jentic for 'export sbom for container image', load the schema for the exportSBOM operation on containeranalysis.googleapis.com, and execute it with the image's full resource URL.
Does the Container Analysis API perform the vulnerability scanning itself?
No. Scans are produced by Artifact Registry and Advanced Vulnerability Insights and written into Container Analysis as occurrences. This API stores, filters, and serves those findings; it does not execute the scanners.
Can I limit what my agent is allowed to do with the Container Analysis API?
Yes. Because Jentic One is self-hosted, your own rules decide which Container Analysis operations and credentials the agent may use. The API carries the project and resource name in the URL path, so you can pin the agent to one project's finding metadata and grant only the operations you want, such as listing occurrences and notes or triggering an SBOM export while anything you leave out stays unavailable. The Google service account credential stays with your instance and is injected at execution time, never reaching the agent's context.
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