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Build your first useful FastAPI endpoint

An API endpoint is a contract. It should say what input is accepted, what output is returned, and how invalid requests fail. FastAPI and Pydantic make much of that contract executable.

Model the request

Typed request models validate data before your business function runs. Add meaningful limits so the contract matches the real product.

Keep logic outside the route

The route translates HTTP into a function call. Put calculations and rules in ordinary Python so they can be tested without a server.

Model the response

A response model prevents accidental fields from leaking and keeps documentation accurate.

Test the contract

Verify success, invalid input, and important boundary cases. An endpoint that only works for the demo request is not ready.

Working example

from fastapi import FastAPI
from pydantic import BaseModel, Field

app = FastAPI()

class QuoteRequest(BaseModel):
    hours: float = Field(gt=0, le=1000)
    hourly_rate: float = Field(gt=0, le=10000)

class QuoteResponse(BaseModel):
    subtotal: float

def calculate_subtotal(hours: float, hourly_rate: float) -> float:
    return round(hours * hourly_rate, 2)

@app.post("/quotes", response_model=QuoteResponse)
def create_quote(request: QuoteRequest) -> QuoteResponse:
    return QuoteResponse(
        subtotal=calculate_subtotal(request.hours, request.hourly_rate)
    )
Remember: Treat every endpoint as a small, typed, tested contract.
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