Normalize semantics
Your service, staff, location, availability and booking concepts map into one common model.
Connect your existing booking API to AI agents through one normalized REST + MCP layer — without replacing your booking engine, inventory, business rules or customer ownership.
Working pre-pilot · Connector-based integration · REST + MCP · Live partner certification pending
One connector to your API.
Translate your booking semantics once.
One normalized agent surface.
REST and MCP share the same booking Core.
You remain authoritative.
Your platform owns rules, inventory and booking state.
YOUR API → CONNECTOR → TALENTHIA → AI AGENTSBooking software was designed for websites, apps and human workflows. Agent ecosystems add a new distribution surface: software that needs to discover bookable supply, understand capabilities, query authoritative availability and execute transactions programmatically.
Platform A builds agent integration A.
Platform B builds agent integration B.
Agent ecosystem X learns every booking model separately.
Agent ecosystem Y repeats the same work.
Integration complexity grows bilaterally.Talenthia Connector implementations translate platform-specific services, resources, availability, policies and reservation state into a canonical booking contract used by both REST and MCP.
Your service, staff, location, availability and booking concepts map into one common model.
Talenthia exposes only operations your platform actually supports.
Mutations preserve idempotency and explicit ambiguous-outcome handling.
Availability and confirmation come from the connected platform, never from inferred or duplicated state.
Your system remains authoritative for what can actually be booked.
Customer ownership and booking lifecycle remain in your platform.
Existing payment and policy flows remain platform-controlled unless explicitly integrated.
A normalized transactional surface across REST and MCP.
The Connector contract is capability-aware. A platform does not need to implement every operation to participate.
Expose bookable entities and where services are delivered.
Normalize services, staff, rooms or other reservable resources.
Query authoritative availability using the platform's own scheduling rules.
Expose only supported lifecycle actions, with explicit capability checks.
We do not need a broad rollout to certify a Connector. The preferred first step is a controlled environment with authorized API access, representative booking data and a narrow transaction scope.
Authorized API access, a test environment/account and technical clarification where public documentation is insufficient.
Connector implementation, normalization, contract tests, REST/MCP exposure and a controlled certification runbook.
Your booking engine, inventory, policies, customers, payments and source-of-truth status.
Canonical booking and capability models already implemented.
12 application operations exposed over both interfaces.
End-to-end discovery → availability → booking lifecycle flows.
Contract, parity, capability, authorization and failure-path coverage.
These answers describe the current pre-pilot model. Production coverage for a specific platform is only claimed after live certification.
Talenthia implements a Connector that maps the platform's authorized booking API to a canonical booking model. AI agents then interact through Talenthia's normalized REST or MCP interfaces instead of learning that platform's API directly.
It means the platform's bookable entities, availability and supported booking actions can be discovered and invoked through a structured interface designed for agent workflows, with explicit capabilities and predictable transaction semantics.
No. The connected booking platform remains the authoritative system of record for inventory, availability rules, customers and reservation state. Talenthia is an interoperability and transaction layer in front of that existing system.
A platform can expose its own MCP server. Talenthia addresses a different problem: cross-platform normalization and one consistent booking contract for multiple agent ecosystems and booking systems, while also exposing conventional REST.
Only the authorized endpoints required for the capabilities being certified. A controlled pilot can begin with a narrow test account or environment and does not require exposing every customer or every booking operation.
The canonical model covers discovery, services, resources, availability, create booking, retrieve booking state, and cancel or reschedule when the connected platform supports those actions.
The Connector declares capabilities explicitly. Talenthia does not emulate unsupported behavior or tell an agent that an unavailable action exists.
A booking is only reported as confirmed when the connected platform provides authoritative confirmation. Ambiguous mutation outcomes are surfaced explicitly rather than being retried blindly and risking duplicate bookings.
Yes. A narrow controlled scope is the preferred pre-pilot path because it lets both teams validate mapping, capabilities, transaction behavior and operational reconciliation before expanding coverage.
We currently look for booking platforms willing to provide authorized API access to a representative test environment or account, plus enough technical collaboration to certify a real end-to-end booking flow.
We are selecting booking platforms for live Connector certification and controlled agent-originated booking pilots.
Current status: working gateway and sandbox. Connector implementations are based on public API contracts; live partner certification remains pending.