Scavio for AI Agent Search Quality Testing

The Problem

Search quality degradation in AI agent tools is silent. Teams discover poor search results only when users report bad agent outputs, often days after the degradation started.

How Scavio Helps

• Hourly quality benchmarks against known-good queries
• Detect empty results, slow responses, and stale data
• Alert before degradation reaches users
• Quality score trending over time
• Cost: $1/day for hourly checks on 20 benchmarks

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "react documentation official":

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 production agent systems

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai agent search quality testing 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.