Scavio for Document Agent Search Grounding

The Problem

AI agents processing documents (contracts, reports, invoices) extract information but cannot verify it against current reality. A contract referencing a company's address may be outdated. A report citing a product price may be wrong.

How Scavio Helps

• Verify document claims against live web data
• Find missing context for extracted entities
• Cross-reference document facts with current information
• One search per claim at $0.005 for real-time verification
• Works as a post-extraction validation layer

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "A document agent extracts 'Company X headquarters: 123 Main St, Austin TX' from a contract. Search grounding queries Google for 'Company X headquarters address 2026'. Results show the company relocated to a new address last quarter. Agent flags the discrepancy for human review. 20 verification searches per document at $0.10 total cost.":

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 Document AI developers, legal tech teams, financial analysis tool builders, compliance automation teams

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