The Problem
AI agents using Brave Search API or DuckDuckGo for web grounding hit reliability walls. Brave's rate limits throttle at 1 req/sec on free tier and results lack the depth of Google. DuckDuckGo's unofficial API has no SLA, returns sparse results, and can break without notice. Agents need consistent, deep search results to ground their reasoning, and free-tier search APIs leave gaps in coverage.
The Scavio Solution
Replace Brave or DuckDuckGo with Scavio's Google search endpoint. Same REST pattern, same tool-call integration, but results come from Google's index with AI Overviews, Knowledge Graph, and full organic depth. 250 free searches per month cover development and testing. Production scales at $0.005 per search with no rate limit throttling.
Before
Before switching, an agent used Brave Search API (free tier, 1 req/sec). During a demo, the agent hit rate limits mid-conversation and returned empty results for 3 consecutive queries. A separate agent using DuckDuckGo's instant answer API got zero results for long-tail queries 30% of the time.
After
After switching to Scavio, the agent gets Google-depth results with AI Overviews and Knowledge Graph. Zero rate limit issues in production. Long-tail query coverage improved because Google's index is deeper. Agent answer quality improved measurably for current-events and entity-lookup queries.
Who It Is For
AI agent developers currently using Brave Search API or DuckDuckGo who need deeper, more reliable search results for agent grounding and tool calls.
Key Benefits
- Google-depth results replace Brave/DDG sparse coverage
- 250 free searches/month for development and testing
- AI Overview and Knowledge Graph data included
- No rate limit throttling at production volume
- Drop-in replacement for any REST-based search tool call
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def agent_search(query: str, platform: str = 'google') -> list[dict]:
"""Drop-in replacement for Brave/DDG search in agent tool calls."""
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': platform, 'query': query, 'ai_overview': True},
timeout=10).json()
results = []
# Include AI Overview if present
aio = r.get('ai_overview')
if aio:
results.append({'type': 'ai_overview', 'text': aio.get('text', '')[:500]})
# Organic results
for o in r.get('organic', [])[:5]:
results.append({
'type': 'organic', 'title': o['title'],
'snippet': o.get('snippet', ''), 'url': o.get('link', '')
})
return results
# Use as agent tool
results = agent_search('latest openai model release 2026')
for r in results:
if r['type'] == 'ai_overview':
print(f'AI Overview: {r["text"][:200]}')
else:
print(f'{r["title"]}: {r["snippet"][:100]}')JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function agentSearch(query, platform = 'google') {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform, query, ai_overview: true })
}).then(r => r.json());
const results = [];
if (r.ai_overview) {
results.push({ type: 'ai_overview', text: (r.ai_overview.text || '').slice(0, 500) });
}
for (const o of (r.organic || []).slice(0, 5)) {
results.push({ type: 'organic', title: o.title, snippet: o.snippet || '', url: o.link || '' });
}
return results;
}
const results = await agentSearch('latest openai model release 2026');
results.forEach(r => {
if (r.type === 'ai_overview') console.log(`AI Overview: ${r.text.slice(0, 200)}`);
else console.log(`${r.title}: ${r.snippet.slice(0, 100)}`);
});Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit