Workflow

Agent Search Fallback Pipeline

Build a multi-provider search fallback pipeline for AI agents. Scavio primary, Brave secondary, cache tertiary. Near-100% availability.

Overview

This pipeline provides near-100% search availability for production AI agents by routing queries through multiple providers in priority order. Primary: Scavio ($0.005/query, 6 platforms, AI Overview). Secondary: Brave Search API (~$4-5/1K). Tertiary: cached results from previous successful queries. Each provider has timeout and minimum result thresholds. The agent sees a single search function regardless of which provider responds.

Trigger

On-demand (called by agent tool function)

Schedule

On-demand (triggered by agent tool calls)

Workflow Steps

1

Receive search request from agent

Agent calls the search tool with query and optional platform parameter.

2

Try primary provider (Scavio)

Send query to Scavio with 10-second timeout. Check result count meets minimum threshold (3+ results).

3

Try secondary provider (Brave) on failure

If Scavio fails or returns insufficient results, try Brave Search API with 8-second timeout.

4

Fall back to cache on double failure

If both providers fail, return cached results from the most recent successful query for the same or similar keyword.

5

Log provider and update cache

Record which provider served the request for cost tracking. Update cache with fresh results.

Python Implementation

Python
import requests
import json
from pathlib import Path

SCAVIO_KEY = "your_scavio_api_key"
BRAVE_KEY = "your_brave_api_key"
CACHE_PATH = Path("search_cache.json")

def load_cache() -> dict:
    return json.loads(CACHE_PATH.read_text()) if CACHE_PATH.exists() else {}

def save_cache(cache: dict):
    CACHE_PATH.write_text(json.dumps(cache, indent=2))

def fallback_search(query: str, platform: str = "google") -> dict:
    cache = load_cache()

    # Primary: Scavio
    try:
        res = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": SCAVIO_KEY},
            json={"platform": platform, "query": query, "ai_overview": True},
            timeout=10,
        )
        if res.ok:
            data = res.json()
            if len(data.get("organic", [])) >= 3:
                cache[query] = data
                save_cache(cache)
                return {"provider": "scavio", "data": data}
    except Exception:
        pass

    # Secondary: Brave
    try:
        res = requests.get(
            "https://api.search.brave.com/res/v1/web/search",
            headers={"X-Subscription-Token": BRAVE_KEY},
            params={"q": query},
            timeout=8,
        )
        if res.ok:
            data = res.json()
            return {"provider": "brave", "data": data}
    except Exception:
        pass

    # Tertiary: cache
    if query in cache:
        return {"provider": "cache", "data": cache[query]}

    return {"provider": "none", "data": {}}

result = fallback_search("best search api for ai agents 2026")
print(f"Provider: {result['provider']}, Results: {len(result['data'].get('organic', []))}")

JavaScript Implementation

JavaScript
const SCAVIO_KEY = "your_scavio_api_key";
const BRAVE_KEY = "your_brave_api_key";
const cache = new Map();

async function fallbackSearch(query, platform = "google") {
  // Primary: Scavio
  try {
    const res = await fetch("https://api.scavio.dev/api/v1/search", {
      method: "POST",
      headers: { "x-api-key": SCAVIO_KEY, "content-type": "application/json" },
      body: JSON.stringify({ platform, query, ai_overview: true }),
    });
    if (res.ok) {
      const data = await res.json();
      if ((data.organic ?? []).length >= 3) {
        cache.set(query, data);
        return { provider: "scavio", data };
      }
    }
  } catch {}

  // Secondary: Brave
  try {
    const res = await fetch(`https://api.search.brave.com/res/v1/web/search?q=${encodeURIComponent(query)}`, {
      headers: { "X-Subscription-Token": BRAVE_KEY },
    });
    if (res.ok) return { provider: "brave", data: await res.json() };
  } catch {}

  // Tertiary: cache
  if (cache.has(query)) return { provider: "cache", data: cache.get(query) };
  return { provider: "none", data: {} };
}

const r = await fallbackSearch("best search api 2026");
console.log(`Provider: ${r.provider}`);

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Frequently Asked Questions

This pipeline provides near-100% search availability for production AI agents by routing queries through multiple providers in priority order. Primary: Scavio ($0.005/query, 6 platforms, AI Overview). Secondary: Brave Search API (~$4-5/1K). Tertiary: cached results from previous successful queries. Each provider has timeout and minimum result thresholds. The agent sees a single search function regardless of which provider responds.

This workflow uses a on-demand (called by agent tool function). On-demand (triggered by agent tool calls).

This workflow uses the following Scavio platforms: google. Each platform is called via the same unified API endpoint.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to test and validate this workflow before scaling it.

Agent Search Fallback Pipeline

Build a multi-provider search fallback pipeline for AI agents. Scavio primary, Brave secondary, cache tertiary. Near-100% availability.