Scavio for AI Agent Search Grounding for Accuracy

The Problem

AI agents confidently recommend deprecated APIs and wrong versions because their training data is months old. Without search grounding, every recommendation needs manual verification.

How Scavio Helps

• Prevent hallucinated API recommendations
• Verify package versions against live data
• Reduce manual fact-checking by 80%
• MCP integration for seamless grounding
• 3-5 searches per task at $0.015-0.025 total

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "stripe api latest version 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 AI agent developers and teams deploying coding assistants

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