examples · 06 patterns
Updated May 12, 2026
Copy the pattern closest to your stack, set SIFTFY_KEY, and classify text before it reaches your inbox, database, or moderation queue.
Match your existing stack. Next.js and Laravel cover most product backends; FastAPI and Django suit Python services; the Cloudflare Worker variants are right when you're protecting Webflow or a static site. The classification call itself is the same shape in every example.
No. Every example uses plain HTTPS to `https://api.siftfy.io/v1/predict`. The Python SDK is provided for type safety and retries, but a single `fetch` or `requests.post` call works from any language with HTTP support.
Each example drops messages above 0.85 spam probability, queues 0.50–0.85 for moderator review, and delivers anything below 0.50. Tune those numbers after a week of reviewing the queue — they're conservative defaults, not magic constants.
No. Return the same success response for clean and spam submissions. A spam-specific error only helps adversaries iterate against your filter while doing nothing for legitimate visitors.