Scavio for AI Agent Output Trust Monitoring

The Problem

Production AI agents serve responses containing unverified claims. Without automated verification, errors propagate to users. Manual spot-checking catches less than 5% of issues.

How Scavio Helps

• Post-generation verification at $0.005/claim checked
• Confidence scoring: high/medium/low based on corroboration count
• Alert on contradicted claims before they reach users
• Trend tracking: monitor hallucination rate over time
• Typical 500-word output has 5-10 verifiable claims = $0.025-0.05/check

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "react 19 release date features":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for AI engineering teams operating customer-facing agent systems

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai agent output trust monitoring solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.