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Overview

Genomic Intelligence runs transformer language models over DNA sequences for six tasks: promoter, splice site, enhancer, chromatin, expression, and annotation. The same models are exposed two ways: a typed /v1 REST API and an MCP server. Pick the interface that fits how you build.

Full API reference

ReDoc is the complete, always-current API reference. It is generated from the live OpenAPI schema and documents every endpoint, field, and response. The pages here are guides and orientation.

Two ways to integrate​

Integrate directly​

Call the /v1 REST API from any language. Authenticate with a bearer key, post a sequence to /v1/tasks/{task}/predict, and get back typed results. Use this when you are wiring the API into an application or pipeline.

REST API quickstart

Drive it from an AI agent​

Run the gi-mcp server and let an LLM host (Claude Desktop, Cursor, Claude Code) call the six tasks with your key. Use this when an agent should acquire sequences and run predictions as tools.

MCP server

What you can do​

  • Promoter — classify whether a sequence contains a promoter region.
  • Splice site — annotate donor and acceptor splice sites across long sequences.
  • Enhancer — score developmental and housekeeping enhancer activity.
  • Chromatin — predict chromatin features (DNase, CTCF, histone marks, and more) as grouped tracks.
  • Expression — predict gene expression from sequence and an experimental description, in log(TPM+1).
  • Annotation — find genes by detecting TSS and PolyA signals and emitting transcript intervals.

Live URLs​

Prefer to explore in a browser? Try the web app. Questions: contact@genomicintelligence.ai.