Documentation Index
Fetch the complete documentation index at: https://www.edenai.co/docs/llms.txt
Use this file to discover all available pages before exploring further.
Endpoint
POST /v3/universal-ai (sync)
Model string pattern: text/ai_detection/{provider}[/{model}]
| Field | Type | Required | Description |
|---|
| text | string | Yes | Text to analyze for AI detection |
Output
| Field | Type | Required | Description |
|---|
| ai_score | float | Yes | |
| items | array[object] | No | |
| text | string | Yes | |
| prediction | string | Yes | |
| ai_score | float | Yes | |
| ai_score_detail | float | Yes | |
Available Providers
| Provider | Model String | Price |
|---|
| sapling | text/ai_detection/sapling | $5 per 1,000,000 chars |
| winstonai | text/ai_detection/winstonai | $14 per 1,000,000 chars |
Quick Start
import requests
url = "https://api.edenai.run/v3/universal-ai"
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
payload = {
"model": "text/ai_detection/sapling",
"input": {
"text": "The quick brown fox jumps over the lazy dog."
}
}
response = requests.post(url, headers=headers, json=payload)
print(response.json())
