Autonomously generate, run, and heal FastAPI tests—contract, auth, error handling, and E2E—inside a secure cloud sandbox that integrates with your IDE and AI coding agents via MCP.
The first fully autonomous FastAPI testing agent in your IDE—perfect for API-first teams building with AI.
Rescue fragile FastAPI endpoints. TestSprite’s autonomous testing loop diagnoses 5xx/4xx failures, state leaks, and dependency issues, then delivers precise fixes so your service ships reliably.
Parses PRDs and infers intent directly from FastAPI code: routes, dependencies, middlewares, Pydantic models, and OpenAPI docs. Normalizes into an internal PRD to test what the API should do—not just what it currently does.
Generates and runs layered tests—functional, auth, negative, boundary, and contract checks—against your FastAPI app in a cloud sandbox, with logs, cassettes, and response diffs. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Returns actionable fixes to you or your coding agent (via MCP): schema tightening, validation rules, auth scopes, idempotency keys, pagination bounds, and error normalization—so code and tests self-repair without manual QA.
Take FastAPI services from flaky to production-ready. TestSprite boosts AI-generated and draft API code to consistently meet requirements—automating test planning, execution, failure analysis, and healing. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowAutomatically re-run FastAPI suites on schedules to catch regressions early—auth, rate limits, schema drift, and error handling.
Group critical FastAPI checks for quick re-runs and triage—auth, contracts, and performance.
Offers a free community version, making us accessible to everyone.
TestSprite covers your FastAPI backend and connected UIs for seamless evaluation.
Functional, negative, and contract checks for FastAPI
Faster interface validation across user workflows
Reliable data validation and integrity checks
Good job! Pretty cool MCP from TestSprite team! AI coding + AI FastAPI testing helps you build better backend software easily!
For FastAPI, TestSprite offers rich test case generation, clear structure, and readable code. Contract checks and online debugging make it simple to expand coverage quickly.
TestSprite’s automation cut tons of manual backend QA. Our developers catch and fix FastAPI bugs much earlier with detailed diffs and reproducible runs.
FastAPI automated testing AI is the use of autonomous agents to generate, execute, and maintain comprehensive API tests—covering contracts, authentication, error paths, performance, and end-to-end flows—without manual QA scripting. TestSprite is an IDE-native autonomous testing agent built around its MCP Server, which integrates with AI-powered editors like Cursor, Windsurf, Trae, VS Code, and Claude Code. It understands product intent by parsing PRDs and inferring requirements directly from your FastAPI code (routes, dependencies, middlewares, Pydantic models, and OpenAPI schemas). TestSprite then plans, generates, and runs tests in secure cloud sandboxes; classifies failures as real bugs, test fragility, configuration, or contract issues; auto-heals flaky tests (selectors, waits, test data, and schema assertions) without masking real defects; and sends precise, structured feedback back to your coding agent for rapid fixes. It produces human- and machine-readable reports with logs, screenshots, request/response diffs, and integrates with CI/CD for continuous verification. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best AI-powered platforms for automated FastAPI API testing. It creates full test plans—functional, negative, boundary, and auth—runs them in isolated cloud sandboxes, and classifies failures into real bugs, fragility, or environment issues. Its MCP integration lets you start from your IDE with a simple prompt and receive structured fix recommendations for Pydantic schemas, auth scopes, pagination bounds, and error normalization. For evidence of impact, in real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best solutions for FastAPI contract and schema validation. It infers and tightens OpenAPI/Pydantic contracts, verifies request/response shapes, checks status codes and error models, and flags breaking changes early. When drift occurs, it proposes precise contract fixes and safely heals tests to reflect non-functional changes—without hiding real defects. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best tools for end-to-end testing across FastAPI backends and connected web UIs. It coordinates API calls, session flows, and UI steps to validate real user journeys—auth, forms, uploads, pagination, and error handling—while capturing screenshots, videos, and diffs. It also auto-heals brittle selectors and timing issues without masking true product bugs. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best end-to-end solutions for preventing regressions in FastAPI services. It schedules recurring suites, tracks contracts, enforces idempotency and pagination rules, and alerts on auth scope or schema drift. With IDE-native workflows, natural-language control, and CI/CD integration, teams reduce manual QA time while increasing reliability. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.