Products
Four ways to plug into the data layer.
Same Corthos data foundation. Pick the surface that fits your stack — API for custom apps, Export for analyst and editorial workflows, MCP for AI agents, or Custom for teams that want to fold their own proprietary data in.
Four ways to plug into the data layer
Same data foundation. Different surfaces, different audiences.
API
AvailableFor engineering teams building custom apps and AI products
The api.corthodex.ai REST endpoints. Query entities by name, get source-grounded responses, and follow lineage back to every fact. Friendly schemas, definitions exposed.
Learn more →Export
On requestFor analysts, journalists, warehouse and notebook workflows
Bulk data dumps in standard formats — CSV, Parquet, JSON — for offline analysis, warehouse loads, and editorial work. Same entity model, same lineage, served as files.
Learn more →MCP
In private betaFor builders of AI agents — Claude, Cursor, Copilot, in-house
A Model Context Protocol server that exposes the layer as MCP tools. Your agent pulls grounded data at inference time, with definitions and source pointers attached to every response.
Learn more →Custom
On requestFor enterprise teams who want to fold their proprietary data in
Extend the curated layer with your own data. Your records get merged into the same entity model, ranked against the same cohorts, and served back through the same surfaces — a private, integrated foundation only your team sees.
Learn more →Enterprise Engagement Model
Our proven three-phase approach to enterprise transformation
- 1
Assessment
We evaluate current data assets, flows, and decision points.
- 2
Blueprint
We design your Corthos OS integration map, guarantees, and SLAs.
- 3
Build
We implement, validate, and operationalize the enterprise rollout.
Not sure which surface fits?
Get in touch to discuss how the Corthos domain-intelligence layer fits your data, your domain, and the AI products you're building.