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Bot Butcher (bot-butcher)

Bot Butcher is an AI-powered spam detection API that uses a fine-tuned large language model to classify contact form submissions as spam or legitimate messages. The service analyzes messages within the context of what each website is about, providing context-aware classification with 99% reported accuracy. It supports multi-tenant architectures and is designed for enterprise scalability across vertical SaaS and website builder platforms.

URL: https://raw.githubusercontent.com/api-evangelist/bot-butcher/refs/heads/main/apis.yml

Scope

  • Type: Index
  • Position: Consuming
  • Access: 3rd-Party

Tags

  • Bots
  • Spam Detection
  • Contact Forms
  • AI Classification
  • Security

Timestamps

  • Created: 2025-01-07
  • Modified: 2026-04-21

APIs

Bot Butcher Classification API

AI-powered spam classification for contact form submissions. Submit form data via POST, receive a JSON classification result (spam or not spam). Context-aware analysis per website. Optionally retrieve messages by message_id.

Human URL: https://botbutcher.com/

Tags

  • Spam Detection
  • Bot Detection
  • AI Classification
  • Contact Forms

Properties

Key Features

  • Fine-tuned LLM for spam classification
  • 99% accuracy against benchmark test
  • Context-aware per-website classification
  • Multi-tenant support (unlimited websites)
  • Optional message storage (Do Not Save mode)
  • Optional training opt-out (Do Not Train mode)
  • Message retrieval by message_id
  • JSON response format
  • API Key authentication

Use Cases

  • Contact form spam filtering
  • Enterprise SaaS spam protection
  • Multi-tenant application security
  • Website builder platform integration

Maintainers

FN: Kin Lane

Email: info@apievangelist.com

About

Bot Butcher is an AI-powered spam detection API that uses a fine-tuned large language model to classify contact form submissions as spam or legitimate messages. The service analyzes messages within the context of what each website is about, providing context-aware classification with 99% reported accuracy.

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