Solution

Build a Search Fallback Chain for AI Agents

AI agents that depend on a single search provider fail completely when that provider has downtime, rate limits, or returns poor results for a specific query type. A single point of

The Problem

AI agents that depend on a single search provider fail completely when that provider has downtime, rate limits, or returns poor results for a specific query type. A single point of failure in the search layer cascades into agent task failure.

The Scavio Solution

Build a fallback chain that tries the primary search provider first, then falls back to alternatives if the primary fails or returns low-quality results. Scavio serves as either the primary or fallback provider at $0.005/query with multi-platform coverage.

Before

Agent search tool calls Tavily. Tavily has a 5-minute outage. All agent tasks that need search fail for 5 minutes. Users see errors.

After

Agent search tool tries primary provider, falls back to Scavio on failure. 5-minute primary outage causes zero user-visible failures. Agent tasks complete normally.

Who It Is For

AI agent developers who need reliable search that never fails, even during provider outages or rate limit periods.

Key Benefits

  • Zero-downtime search for AI agents
  • Automatic fallback on provider failure or poor results
  • Quality check before returning results to agent
  • Multi-provider cost optimization
  • Transparent fallback logging for debugging

Python Example

Python
import requests, os

API_KEY = os.environ["SCAVIO_API_KEY"]

def scavio_search(query: str, platform: str = "google") -> dict:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY, "Content-Type": "application/json"},
        json={"query": query, "platform": platform, "country_code": "us"},
        timeout=10,
    )
    if resp.status_code == 200:
        return resp.json()
    return None

def fallback_search(query: str, platform: str = "google") -> dict:
    """Search with automatic fallback chain."""
    # Try primary provider
    try:
        result = scavio_search(query, platform)
        if result and len(result.get("organic_results", [])) >= 3:
            return {"provider": "scavio", "data": result}
    except Exception:
        pass

    # Fallback: try different platform or simplified query
    try:
        simplified = " ".join(query.split()[:5])
        result = scavio_search(simplified, platform)
        if result and result.get("organic_results"):
            return {"provider": "scavio_simplified", "data": result}
    except Exception:
        pass

    return {"provider": "none", "data": {"organic_results": [], "error": "All providers failed"}}

result = fallback_search("best react frameworks for enterprise 2026")
print(f"Provider: {result['provider']}, Results: {len(result['data'].get('organic_results', []))}")

JavaScript Example

JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function scavioSearch(query, platform='google') {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query, platform, country_code:'us'})});
  return r.ok ? r.json() : null;
}
async function fallbackSearch(query, platform='google') {
  try { const d = await scavioSearch(query, platform); if (d && (d.organic_results||[]).length >= 3) return {provider:'scavio', data:d}; } catch {}
  try { const d = await scavioSearch(query.split(' ').slice(0,5).join(' '), platform); if (d?.organic_results?.length) return {provider:'scavio_simplified', data:d}; } catch {}
  return {provider:'none', data:{organic_results:[], error:'All providers failed'}};
}
const r = await fallbackSearch('best react frameworks for enterprise 2026');
console.log('Provider: '+r.provider+', Results: '+(r.data.organic_results||[]).length);

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

YouTube

Video search with transcripts and metadata

Reddit

Community, posts & threaded comments from any subreddit

Frequently Asked Questions

AI agents that depend on a single search provider fail completely when that provider has downtime, rate limits, or returns poor results for a specific query type. A single point of failure in the search layer cascades into agent task failure.

Build a fallback chain that tries the primary search provider first, then falls back to alternatives if the primary fails or returns low-quality results. Scavio serves as either the primary or fallback provider at $0.005/query with multi-platform coverage.

AI agent developers who need reliable search that never fails, even during provider outages or rate limit periods.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Build a Search Fallback Chain for AI Agents

Build a fallback chain that tries the primary search provider first, then falls back to alternatives if the primary fails or returns low-quality results. Scavio serves as either th