DeepSource API
DeepSource is an automated code analysis platform that detects bugs, security vulnerabilities, and anti-patterns via a GraphQL API for querying repositories, issues, metrics, and analysis run status.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforced on all endpoints. Personal Access Tokens have no scope granularity — a single token grants full user-level API access. No OAuth flow for third-party agent delegation. SOC2 and GDPR compliant. Token revocation is available via the UI.
⚡ Reliability
Best When
You want deep static analysis for Python or JavaScript/TypeScript with a GraphQL API that enables rich programmatic querying of issues and metrics beyond basic linting.
Avoid When
Your stack is primarily Java, C++, or .NET — DeepSource's analyzer coverage for those languages is less mature than SonarQube.
Use Cases
- • Query code issues programmatically via GraphQL to build custom dashboards or feed issues into a ticket system
- • Check analysis run status after a commit push to determine if the build is safe to deploy
- • Integrate DeepSource quality gates into CI pipelines — fail the pipeline if new critical issues are introduced
- • Fetch metric trends (issue counts, coverage, duplication) over time to generate engineering health reports
- • List and filter issues by category, severity, or analyzer to prioritize security vs. correctness remediation
Not For
- • Runtime or dynamic analysis — DeepSource is static analysis only and cannot catch issues that only manifest during execution
- • Compiled languages as a primary target — DeepSource is strongest for Python, JavaScript, Go, and Ruby; coverage for Java/C++ is more limited
- • Teams without a Git-based workflow — DeepSource requires GitHub, GitLab, or Bitbucket repository connection
Interface
Authentication
Personal Access Token (PAT) passed as a Bearer token in the Authorization header. The same token is used for both the GraphQL and REST API endpoints. No OAuth or scope-level granularity — token grants full API access for the authenticated user.
Pricing
Public repositories are fully free with no feature restrictions. Private repo access requires a paid plan. No credit card needed to start.
Agent Metadata
Known Gotchas
- ⚠ The primary API is GraphQL — agents must understand the DeepSource schema and construct valid queries; there is no auto-generated REST endpoint for most data, requiring schema introspection before use
- ⚠ Analysis runs are asynchronous — agents must poll run status via GraphQL queries and implement patience for 2-5 minute analysis windows before results are available
- ⚠ Repositories must be explicitly connected to DeepSource via the web UI or GitHub App before any API operations on that repo will succeed — agents cannot self-onboard a repository via the API
- ⚠ Issue resolution status in DeepSource (suppressed/resolved/ignored) does not always correspond to the fix being merged — agents querying issue status must account for manually resolved issues that may still exist in code
- ⚠ GraphQL query complexity limits can reject queries that fetch deeply nested data across many repositories in a single request — agents must paginate and batch appropriately
Alternatives
Full Evaluation Report
Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for DeepSource API.
AI-powered analysis · PDF + markdown · Delivered within 30 minutes
Package Brief
Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.
Delivered within 10 minutes
Score Monitoring
Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.
Continuous monitoring
Scores are editorial opinions as of 2026-03-06.