Scavio for Agent Search Reliability Testing

The Problem

AI agents that depend on search for grounding have no way to know if their search tool is reliable until a user gets a bad response. Without proactive reliability testing, search failures surface as hallucinations or visible errors in production.

How Scavio Helps

• Daily reliability testing at $0.50/day for 100 queries
• Success rate, latency, and relevance metrics per provider
• Early detection of search degradation before users notice
• Historical data enables provider comparison and SLA tracking
• Multi-platform testing across Google, Amazon, YouTube, Reddit

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "ai agent search reliability testing daily monitoring 2026":

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 Agent engineers, SREs building agent infrastructure, and teams operating customer-facing AI agents

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

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.