The Problem
Brave Search API locks agents to a single search index with mandatory attribution requirements. At $5 per 1,000 requests with no free tier beyond a $5 credit, costs climb fast for production agents. Brave returns web results only, so agents that need product prices, video results, or Reddit threads require bolting on additional providers.
The Scavio Solution
Swap the Brave endpoint for Scavio's unified API. One POST call handles Google, YouTube, Amazon, Walmart, and Reddit. No attribution requirement, no secondary providers to integrate. The migration is a URL and header change since both APIs return structured JSON with title, link, and snippet fields. Scavio's 500 free credits per month cover prototyping, and $0.005 per request at scale undercuts Brave's pricing.
Before
Before migrating, an agent team paid Brave $50/month for 10,000 search calls and maintained a separate Amazon scraper for product queries. The Brave attribution banner confused users in a white-label deployment. Adding Reddit search meant evaluating a third vendor.
After
After switching to Scavio, the team covers Google, Amazon, and Reddit from one endpoint. Monthly cost dropped to $30 for 7,000 credits with overages at $0.005 each. The attribution requirement disappeared, and the white-label UI shipped clean.
Who It Is For
Agent developers currently using Brave Search API who need multi-platform coverage, lower cost, or no-attribution embedding.
Key Benefits
- Drop-in replacement: change URL and header, keep response parsing
- No attribution requirement for white-label or embedded agents
- Five platforms from one API key instead of three vendors
- 500 free credits per month versus Brave's $5 credit
- Structured JSON schema matches common agent tool-call patterns
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
# Before (Brave):
# r = requests.get('https://api.search.brave.com/res/v1/web/search',
# headers={'X-Subscription-Token': BRAVE_KEY},
# params={'q': query})
# After (Scavio) -- same fields, no attribution:
def search(query: str, platform: str = 'google') -> list[dict]:
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': platform, 'query': query}, timeout=10).json()
return [{'title': o.get('title'), 'url': o.get('link'),
'snippet': o.get('snippet')} for o in r.get('organic', [])[:5]]
# Now also search Amazon -- impossible with Brave alone
web = search('best ergonomic keyboard 2026')
products = search('ergonomic keyboard', platform='amazon')
for item in web + products:
print(item)JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
// Before (Brave):
// const r = await fetch('https://api.search.brave.com/res/v1/web/search?q=' + q,
// { headers: { 'X-Subscription-Token': BRAVE_KEY } });
// After (Scavio):
async function search(query, platform = 'google') {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform, query })
}).then(r => r.json());
return (r.organic || []).slice(0, 5).map(o => ({
title: o.title, url: o.link, snippet: o.snippet
}));
}
const web = await search('best ergonomic keyboard 2026');
const products = await search('ergonomic keyboard', 'amazon');
console.log([...web, ...products]);Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data
Community, posts & threaded comments from any subreddit