Python Spam Protection API
Stop Python Spam With One API Call
While CAPTCHAs frustrate your users and client-side solutions slow your pages, ActiveLayer catches spam in milliseconds with a single server-side request. Works with requests, httpx, Django, FastAPI, Flask, and any Python framework. No frontend code. No user friction. Just clean, accurate verdicts.
✓ Millisecond response time
✓ 99.5%+ accuracy
✓ Zero CAPTCHAs
✓ 1,000 checks for free
Built by the same team whose software is trusted by 30,000,000+ websites worldwide.
Everything You Need to Eliminate Spam in Python
No CAPTCHAs, no honeypot hacks, no fragile regex filters. ActiveLayer handles it all with a clean REST API.
requests and httpx Support
Call the API with the HTTP library you already use. Synchronous with requests, async with httpx. No proprietary SDK required. Standard Python all the way.
pip Install and Go
Install requests or httpx from PyPI if you haven’t already. Add your API key. Make a POST request. You’re protected. No complex setup or configuration files.
Full Async Support
Use httpx with async/await for non-blocking spam checks. Perfect for FastAPI, async Django views, and any asyncio-based application. Your event loop stays free.
Type Hints Friendly
ActiveLayer returns clean JSON that maps directly to typed dataclasses or Pydantic models. Build type-safe integrations with full IDE autocomplete and validation.
Django, FastAPI, and Flask Compatible
One API works across every Python web framework. Add the check to your Django view, FastAPI endpoint, or Flask route. Same pattern, same results, every framework.
Zero CAPTCHAs
Entirely server-side. Your users never see a puzzle, a checkbox, or a challenge. Nothing on the frontend changes. Your forms stay clean and your conversion rates stay high.
Millisecond Speed
Spam verdicts return faster than most database queries. Your form submissions and API endpoints process without any noticeable delay.
Automatic Fallbacks
If ActiveLayer is unreachable, submissions pass through normally. Wrap the call in a try/except and your application never breaks because of spam protection.
Full Detection Transparency
Every verdict includes a confidence score and detection signals. Log them, display them, or use them to build custom handling logic tailored to your application.
Protected in 3 Steps. Any Python Application.
From pip install to spam-free in under five minutes. No framework-specific packages needed.
1
Install Your HTTP Library and Get Your Key
If you don’t already have requests or httpx installed, add one with pip. Grab your free API key from the ActiveLayer dashboard. That’s your entire setup.
2
Add the Spam Check (Synchronous)
Add a single API call wherever you handle user submissions. ActiveLayer returns a verdict in milliseconds with a confidence score and detection signals.
3
Or Go Async With httpx
For async applications (FastAPI, async Django, or any asyncio code), use httpx for non-blocking spam checks. Same API, same response, zero blocking.
Why Python Developers Choose ActiveLayer
Clean API. No dependencies you don’t want. No friction your users don’t need.
Invisible Protection That Never Blocks a Real User
CAPTCHAs cost you up to 40% of form completions — every puzzle, checkbox, or challenge you add is a potential customer lost forever. ActiveLayer works entirely server-side with no JavaScript widgets, no third-party scripts, and no template tags. Your users fill out the form, hit submit, and move on. The spam gets caught before it reaches your database, and your users never know protection is there.
One API. Django, FastAPI, Flask, and Beyond.
You don’t need a different spam package for every framework — no django-recaptcha, no Flask-reCAPTCHA, no framework-specific middleware. ActiveLayer is a single HTTP call using requests (sync) or httpx (async) that works identically in Django, FastAPI, Flask, or a standalone script. One API key, one pattern, every framework protected. See our [Django integration guide](/integrations/django/) and [FastAPI integration guide](/integrations/fastapi/) for framework-specific examples.
Faster Than Your Database Query. Lighter Than Any SDK.
ActiveLayer requires no proprietary SDK, background daemon, or ML model running on your server — just a single HTTP POST using requests or httpx, libraries most Python apps already depend on. The API returns verdicts in milliseconds, faster than most database queries. No new processes, no extra memory, no added deployment complexity. Your application stays lean and your spam stays blocked.
From Awesome Motive. Enterprise-Grade Spam Protection.
ActiveLayer is built by Awesome Motive, the team behind WPForms, AIOSEO, MonsterInsights, OptinMonster, and 20+ products serving 30 million websites. A decade of fighting spam at massive scale is packaged into a clean REST API that any Python developer can integrate in minutes. Long-term support, reliable infrastructure, and a product built to last — not a side project that disappears.
Frequently Asked Questions
Have questions about ActiveLayer for Python? We’ve got answers.
Use requests if your application is synchronous, which covers most Django and Flask applications. Use httpx if you’re building with FastAPI, async Django views, or any asyncio-based code. Both libraries produce identical results from the ActiveLayer API. The only difference is whether the call blocks the current thread or uses async/await. If you’re unsure, start with requests. You can switch to httpx later without changing anything else about your integration.
All of them. ActiveLayer is a standard REST API, so it works with any Python framework that can make HTTP requests. That includes Django, FastAPI, Flask, Tornado, Sanic, Starlette, aiohttp, Bottle, Pyramid, and more. It also works in standalone Python scripts, CLI tools, Celery workers, and serverless functions. See our [Django integration guide](/integrations/django/) and [FastAPI integration guide](/integrations/fastapi/) for framework-specific examples and patterns.
You don’t need one. ActiveLayer is a REST API that you call with requests or httpx, both of which are standard Python HTTP libraries available on PyPI. There’s no proprietary SDK to install, no version compatibility to manage, and no extra dependency in your requirements.txt. Just add your HTTP library of choice (if you don’t already have it) and make a POST request. That’s the entire integration.
ActiveLayer works with any Python version that supports requests or httpx. That means Python 3.7 and above for requests, and Python 3.7 and above for httpx. Since ActiveLayer is a standard HTTP API call, there are no Python-version-specific constraints on the API side. Your Python version only matters for your choice of HTTP library.
Yes. ActiveLayer is a single HTTP POST that returns in milliseconds, making it ideal for serverless environments where cold start time and execution duration matter. Include requests in your deployment package (or use the built-in urllib if you want zero dependencies), add your API key as an environment variable, and call the API from your handler function. No background processes, no persistent connections, no state to manage between invocations.
The API returns a JSON object with a `spam` boolean, a `confidence` score (0 to 1), and an array of `signals` explaining what was detected. Use the `spam` field for simple accept/reject logic. Use `confidence` for more nuanced handling, like flagging borderline submissions for manual review. Use `signals` for logging and audit trails. The response maps cleanly to Python dictionaries, Pydantic models, or dataclasses.
Your application keeps working normally. Wrap the API call in a try/except block and let submissions pass through if the request fails or times out. Set a short timeout (1 to 2 seconds) on your requests or httpx call. ActiveLayer is designed so that API downtime never breaks your application. Legitimate users always get through.
Yes. 1,000 spam checks per month, no credit card required. Full API access with no feature restrictions. When you need more volume, upgrade to Pro at $19/month for 25,000 checks. Both plans include unlimited sites and applications.