Scavio for Curated Search for Agent Deployment

The Problem

Open web search returns noisy results from SEO spam sites. Agents need search limited to authoritative sources for reliable grounding.

How Scavio Helps

• Search only trusted domains
• Reduce noise from SEO spam
• Higher signal-to-noise ratio for agents
• Combine curated and open search
• Structured results for efficient token usage

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "kubernetes pod autoscaling best practices":

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 Enterprise AI teams deploying production agents

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