Agents need more than endpoints.
A good human-facing API can still lack stable service semantics, bookable resources, source-authoritative availability, or a safe mutation lifecycle.
AI-booking readiness for scheduling platforms
Know what your API needs before AI agents start booking through it.
Bridge Preflight reads your OpenAPI or Swagger JSON and maps the exact gaps between today's scheduling API and safe agentic discovery, availability and booking.
No credentialsAnalyze the API contract, not your production systems.
No production writesPreflight never books, charges, or changes customer data.
Clear next stepsGet a prioritized plan for agentic readiness in minutes.
◉ Calendly◯ Acuity Scheduling▣ SavvyCaland more
The problem
Your API can work beautifully for apps and still fail an AI agent.
Agentic booking introduces a different set of requirements: explicit machine-readable services, real-time availability, deterministic mutations, replay protection, event reconciliation and bounded authority.
The failure modes are expensive.
Duplicate bookings, stale availability, weak replay protection, ambiguous identity, and missed webhooks become real customer and support incidents.
Rebuilding first is the wrong experiment.
Before assigning engineering, know what your API already supports, what is genuinely missing, and what an interoperability layer can supply.
The output
One API contract in. One implementation map out.
Preflight distinguishes what the source API already provides from what the interoperability edge still needs to add. That means engineering starts with evidence instead of a protocol scavenger hunt.
Example readiness
78%
Evidence-backed assessment
Service catalogSource native
AvailabilitySource native
Idempotent bookingBridge required
Webhook integrityReview
Agent identity bindingBridge required
How it works
A decision in three steps.
Paste your OpenAPI JSON
Use a representative OpenAPI or Swagger JSON description. Remove credentials, tokens and private customer data.
Get the evidence map
Aqelya checks catalog, resources, availability, booking lifecycle, authentication, idempotency, events and scheduling semantics.
Leave with an implementation plan
The full report separates source-native capabilities from Bridge work and gives the order in which to build safely.
See the machinery
Don't take the sales page on faith.
The Bridge Lab exposes a deployed synthetic catalog → availability → idempotent booking flow. It is intentionally sandboxed so you can inspect the shape of the integration without risking a real merchant calendar or payment.
Machine-readable discovery and service catalog
Bounded availability queries
Idempotent sandbox booking
Negative-path request guards
Production writes disabled by default
Find the gaps before an agent finds them for you.
Start with the free preview. Upgrade only when you need the full evidence matrix and implementation sequence.