classifyre/api
Classifyre API backend: scans, findings, cases and investigation automation.
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classifyre/api repository overview
Classifyre API
Backend service of the open-source Classifyre investigation platform — REST API, scan orchestration, findings, cases and AI autopilot.
Classifyre turns the data scattered across the systems you already run — file shares, Confluence, Jira, SharePoint, S3, Git repositories, databases — into investigations you can act on: detectors raise findings (leaked secrets, PII, security risks), and analysts work them through inquiries, duplicates, cases and hypotheses.
This classifyre/api image is the Classifyre backend (NestJS): it serves the REST API and WebSockets, orchestrates scans, runs the background job queues (pg-boss) and semantic embeddings, and spawns scan workers. It is one of three service images — together with classifyre/web (frontend) and classifyre/cli (scan jobs) — composed into the classifyre/all-in-one image and deployed separately by the classifyre/classifyre-core Helm chart.
You normally don't run this image by hand: use the all-in-one image for local use or the Helm chart for Kubernetes.
📚 Full documentation: https://docs.classifyre.com
Quickstart (standalone)
The API needs PostgreSQL 15+ with pgvector:
docker run -d --name classifyre-api \
-p 8000:8000 \
-e DATABASE_URL="postgresql://user:[email protected]:5432/classifyre?sslmode=require" \
classifyre/api:latest
The DB user needs CREATE SCHEMA / CREATE EXTENSION (every workspace gets its own schema). Migrations run automatically on startup behind an advisory lock, so multiple replicas against one database are safe.
Configuration
| Variable | Default | Purpose |
|---|---|---|
DATABASE_URL | (required standalone) | PostgreSQL connection string. |
PORT | 8000 | Port the API listens on. |
CLASSIFYRE_MASKED_CONFIG_KEY | auto-generated | Encrypts stored source credentials and MCP tokens. Set explicitly in production and back it up. |
SERVICE_ROLE | api | api serves traffic; worker runs background embedding/automation jobs (used by the Helm chart). |
CORS_ORIGIN | same-origin | Set when the UI is served from another host. |
DEMO_MODE | false | Read-only mode; blocks every write. |
TELEMETRY_DISABLED / DO_NOT_TRACK | unset | Set either to 1 to disable anonymous usage telemetry. |
CLASSIFYRE_AUTO_MIGRATE | true | false skips startup migrations (only if you run them yourself). |
EMBEDDING_PROVIDER | transformers-js | openai-compatible for a remote embedding service. |
EMBEDDING_BASE_URL / EMBEDDING_API_KEY | unset | Remote endpoint for openai-compatible. |
EMBEDDING_MODEL | Xenova/all-MiniLM-L6-v2 | Embedding model id. |
S3_BUCKET, S3_ENDPOINT, S3_REGION, S3_ACCESS_KEY_ID, S3_SECRET_ACCESS_KEY | unset | Object storage for scan logs (disk otherwise). |
AI provider keys (LLM detectors, autopilot) are per-workspace settings in the UI (Settings → AI providers), not environment variables.
The Helm chart exposes further tuning (DB pool sizes, V8 heap, HNSW index parameters) — see values.
Tags
latesttracks the newest stable release; pin a version (e.g.classifyre/api:0.6.3) in production. API, web and CLI tags with the same version are built from the same commit — keep them in sync.
Classifyre is open source: https://github.com/classifyre/classifyre · Docs: https://docs.classifyre.com
Tag summary
Content type
Image
Digest
sha256:05de58a7a…
Size
1.6 GB
Last updated
about 14 hours ago
docker pull classifyre/api