API Integration

Integrate two-stage analysis into your existing systems via REST API.

API Endpoint

https://api.patas.app/api/v1/analyze

API Key

patas_demo_key_click_generate

Quick Start

1
Prepare your data

Format your messages as JSON array:

[
  {
    "id": "msg_001",
    "text": "Buy now! http://spam.com",
    "is_spam": true
  },
  {
    "id": "msg_002",
    "text": "Hello, how are you?",
    "is_spam": false
  }
]

2
Make API request

curl -X POST https://api.patas.app/api/v1/analyze \
  -H "Content-Type: application/json" \
  -H "X-Use-LLM: true" \
  -d '{
    "messages": [
      {"id": "msg_001", "text": "Buy now! http://spam.com", "is_spam": true},
      {"id": "msg_002", "text": "Hello", "is_spam": false}
    ],
    "run_mining": true,
    "run_evaluation": true,
    "export_backend": "sql",
    "profile": "balanced",
    "simple_mode": false
  }'

3
Get results

The API returns discovered patterns, generated rules, and metrics (precision, recall, coverage).

Python Example

import requests

url = "https://api.patas.app/api/v1/analyze"

response = requests.post(
    url,
    json={
        "messages": [
            {"id": "msg_001", "text": "Buy now!", "is_spam": True},
            {"id": "msg_002", "text": "Hello", "is_spam": False}
        ],
        "run_mining": True,
        "run_evaluation": True,
        "export_backend": "sql",
        "profile": "balanced",
        "simple_mode": False
    },
    headers={
        "Content-Type": "application/json",
        "X-Use-LLM": "true"
    }
)

result = response.json()
print(f"Discovered {len(result['patterns'])} patterns")
print(f"Generated {len(result['rules'])} rules")

Rate Limits

Free tier: 10 requests per minute

Maximum 1000 messages per request

LLM-enabled requests may take longer (30-60 seconds)

Documentation

For full API documentation and technical specifications, contact @kiku_JW on Telegram.

Contact on Telegram