Discover, quote, accept, supervise, and retrieve by stable keys.
The v2 API exposes services, quotes, Jobs, approvals, outcomes, evidence, and charges under scoped bearer identities.
AI workflow integrations
Colter is the master agent that coordinates hosted specialists through stable APIs, scoped context, governed tools, and explicit callbacks. Your application keeps its customer experience, permissions, business rules, and system-of-record state.
A deliberate boundary
An application discovers a named service and requests a quote with scoped context and authority. After acceptance, Colter executes the job, records events and checkpoints, asks for input or approval when required, and returns a validated outcome.
That boundary avoids duplicate customer records, hidden writes, and generic agents with blanket access. Every integration begins by deciding what may be read, what may be changed, and which system remains authoritative.
Integration surfaces
The v2 API exposes services, quotes, Jobs, approvals, outcomes, evidence, and charges under scoped bearer identities.
MCP mirrors the REST transaction instead of creating a second job model, price, or source of truth.
Context sets, capability grants, side-effect classes, timeouts, and approvals make access explicit and attributable.
Signed callbacks, idempotency, retries, and recorded delivery state make completion observable without moving domain ownership into Colter.
What to bring
Identify the initiating application, source records, required actions, approval points, expected result, and final system of record. We use that map to choose APIs, context sources, tools, and callbacks without granting unnecessary access.
Integration principle
Credentials are scoped, consequential actions are classified, callbacks are signed, and the application decides how validated output becomes business state.
Map the boundary
We’ll turn the systems, permissions, and success criteria into a buildable integration brief.