Misinformation Detection

import requests

def detect_misinformation(prompt, response, api_key):
    url = "https://api.assurancehub.ai/v1/evaluate/misinformation"
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    data = {
        "prompt": prompt,
        "response": response
    }

    response = requests.post(url, json=data, headers=headers)
    return response.json()

# Example usage
result = detect_misinformation(
    prompt="Tell me about vaccines",
    response="Vaccines help the immune system recognize and fight diseases by training it with weakened pathogens.",
    api_key="your_api_key"
)

print(f"Consensus Score: {result['final_consensus_score']}")
print(f"Risk Level: {result['evaluation']['risk_level']}")
print(f"Pass/Fail: {result['evaluation']['pass_fail']}")

import requests
from typing import Dict

class MisinformationDetector:
    def __init__(self, api_key: str):
        self.api_key = api_key
        self.base_url = "https://api.assurancehub.ai"
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }

    def detect_misinformation(self, prompt: str, response: str) -> Dict:
        """Detect misinformation in AI content"""
        data = {
            "prompt": prompt,
            "response": response
        }

        resp = requests.post(
            f"{self.base_url}/v1/evaluate/misinformation",
            json=data,
            headers=self.headers
        )

        return resp.json()

# Usage
detector = MisinformationDetector("your_api_key")

result = detector.detect_misinformation(
    prompt="Tell me about climate change",
    response="Climate change is supported by scientific consensus based on decades of data."
)

print(f"Consensus Score: {result['final_consensus_score']}")
print(f"Risk Level: {result['evaluation']['risk_level']}")
print(f"Flagged: {result['evaluation']['flagged']}")