Timerise API and GraphQL: The Perfect Backend for AI Agents and LLM Apps

Your AI bot can know every language in the world, but it can't book a table at a restaurant. Why?

Because most APIs were designed for humans, not machines.

REST APIs are relics of an era when every endpoint had to return "everything just in case." When your AI agent needs just an available slot date, it gets gigabytes of JSON with descriptions, photos, and metadata in 47 languages. You pay for every processed token. You waste budget on garbage data.

GraphQL changes the game. It lets AI ask one precise question and get exactly what it needs. Nothing more, nothing less.

And that's exactly why Timerise API – built natively on GraphQL – is the perfect heart for any AI-driven booking system.

Problem #1: REST Drains Your Token Budget

Traditional REST APIs were designed in times when bandwidth was cheap and programmers manually filtered data. In the LLM era, every excess byte is wasted money.

Over-fetching is the silent budget killer. Your AI agent wants to check if there's a free slot at 2 PM. REST responds: "Here's 3 MB of JSON with service descriptions in 12 languages, photo gallery, and complete booking history." AI has to process everything. You pay for every token. Even for those you'll never use.

Hallucinations are the second threat. For AI to understand how to use REST, you need to pack long documentation into the prompt: "endpoint X returns Y, but only if parameter Z is set to true, unless...". The more context, the higher the risk the model will make a mistake and send a wrong request.

GraphQL solves both problems in one move:

Precise queries: AI requests only the fields it actually needs. Zero excess data.
Introspection (self-documentation): The model can query the schema itself about available types and relations. The API structure is understandable "automatically."

Research confirms: using GraphQL in LLM applications reduces token consumption by up to 60% compared to REST (Source: TechConative).

Timerise API: Built for AI Agents from the First Line of Code

Timerise isn't just another "booking system with an API." It's an API-first platform, designed from the ground up with autonomous agents in mind.

We handle every type of booking you can imagine:

Hourly bookings – consultations, medical appointments, spa sessions
Date ranges – equipment rental, accommodation, car rentals
One-time events – webinars, conferences, workshops
Pre-orders – online course sales, early access to products

And most importantly? Thanks to native GraphQL implementation, Timerise speaks the same language as your AI models. Zero "glue code." Zero rewriting REST responses into something LLM understands.

Timerise supports Model Context Protocol (MCP) – the new communication standard for AI agents. Your assistant can precisely execute operations without constant "querying" about data structure.

Example 1: One Precise Shot Instead of Three Uncertain Ones

Imagine: a user asks your bot "Can I book a massage this week?"

REST Scenario:

GET /services → 2 MB of JSON with all services
GET /services/massage-123/slots?from=...&to=... → another 500 KB with all details
Filtering and parsing on the AI side → wasting tokens

Timerise GraphQL Scenario: One query. Four fields. Zero garbage.

query GetAvailableSlots {
  service(serviceId: "srv_12345") {
    title
    slots(
      slotType: AVAILABLE
      dateTimeFrom: "2023-11-01T00:00:00Z"
      dateTimeTo: "2023-11-07T23:59:59Z"
      limit: 5
    ) {
      slotId
      dateTimeFrom
      dateTimeTo
      quantity
    }
  }
}

Result? Clean, minimal JSON. AI gets exactly what it needs. Your token budget remains intact. Bot responds in a fraction of a second.

Problem #2: Hallucinations Cost You Customers

The worst thing that can happen in a booking system? A bot that books a slot for "-1 people" on "December 32, 2023."

LLMs are powerful, but they can also "make up" things that don't exist. We call these hallucinations. With payments and bookings, one hallucination = lost customer.

Timerise eliminates this problem at the source with strong GraphQL typing.

We've defined precise Scalars that act as guardrails for your AI:

NonNegativeInt: Bot won't book "-5 rooms" or "0.5 spots"
DateTime (ISO 8601): Model knows exactly what date format to send – no improvisation
EmailAddress, PhoneNumber, GeoLocation: Validation built into the schema, not your code

When AI creates a booking, the GraphQL schema acts as quality control. Invalid data is rejected before it reaches business logic. Your backend stays clean, and the client gets either a correct booking or a clear error message.

Example 2: From Intent to Booking in One Query

User writes: "I want to sign up for beginner yoga on Wednesday at 6 PM"

Your AI agent parses the intent, finds an available slot, and in one mutation creates a complete booking:

mutation CreateBooking {
  bookingCreate(
    serviceId: "srv_yoga_class_01"
    slots: ["slot_id_abc123"]
    formFields: { clientName: "John Doe", experienceLevel: "Beginner" }
    locale: "en-US"
    timeZone: "America/New_York"
  ) {
    bookingId
    status
    shortUrl
    paymentStatus
  }
}

Magic? No. Precise contract between AI and API. Bot knows which fields are required (GraphQL schema), user gets SMS confirmation, and you get the payment. All in one request.

3 Real Scenarios You Can Build Tomorrow

Stop thinking abstractly. Here are specific use cases clients are deploying today:

1. Hotel Concierge That Never Sleeps

WhatsApp Bot integrated with reception. Guest writes at 2 AM: "Can I extend my stay by two days?" Bot checks room availability, shows price, books, and sends confirmation. Receptionist sees a ready booking in the morning.

Timerise gives you:

Date range bookings (check-in/check-out)
Asset management – bot won't book a bike that's not in the garage
Automatic blocking of already occupied slots

2. Clinic That Doesn't Lose Patients Due to "No Available Slots"

Voicebot calls patients with appointment reminders. If a patient needs to reschedule, the bot itself finds the nearest available slot and books it on the spot. Zero waiting for a callback from reception.

Timerise gives you:

bookingReschedule mutation – moving appointments without cancellation
Automatic time zone handling (critical in telemedicine)
Validation of conflicts in doctor's calendar

3. Course Creator Who Launches Landing Pages in 5 Minutes

Recorded a course? AI reads your notes, generates a landing page with description, then automatically creates a product in Timerise and connects Stripe payments. User clicks "Buy now," pays, and gets access.

Timerise gives you:

serviceCreate and productCreate mutations – bot sets up your offer itself
Integrated payments (Stripe/Adyen) without extra code
Pre-orders and digital product access management

Summary: Stop Fighting REST. Start Building with GraphQL.

In the AI era, "backend glue code" is the most expensive type of code you can write. You spend weeks on:

Parsing huge REST responses
Mapping API documentation to LLM prompts
Debugging hallucinations because the model was "guessing" data structure
Optimizing token costs because every query returns gigabytes of garbage

Timerise ends this circus.

You get:

Booking backend out-of-the-box – time zones, payments, resources, conflicts. Solved.
GraphQL natively – AI fetches only what it needs. Your token budget drops by 60%.
Strong typing – schema eliminates hallucinations before they hit production.
Enterprise scale – payments (Stripe/Adyen), SMS, email, webhooks. All built-in.

Stop building yet another booking backend. Start building what actually distinguishes your product.

Because in the AI world, infrastructure should be invisible. What matters is user experience.

Explore Timerise API documentation →

Test GraphQL Explorer live →

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Mateusz Sowa