The Problem
AI agents that depend on a single search API have a single point of failure. When that API goes down, the agent cannot answer any query that requires web data. In production, a 30-minute search outage can cascade into thousands of failed user requests. Teams discover this vulnerability only during an incident, by which time the damage is done. Building failover after an outage is a scramble, not a plan.
The Scavio Solution
Build a multi-provider search layer that routes queries through a primary provider and automatically fails over to a secondary provider when the primary returns errors or exceeds latency thresholds. Scavio can serve as either the primary or secondary provider alongside Tavily, Brave, or SerpAPI. The failover layer adds 5 lines of code and eliminates single-provider risk.
Before
Before: An agent relied on a single search API. During a 45-minute provider outage, 2,300 user queries failed. The team scrambled to integrate a backup provider over a weekend. The incident cost an estimated $8,000 in lost user trust and engineering time.
After
After: The same agent routes through two providers with automatic failover. During the next provider outage, failover triggered in under 2 seconds and zero user queries failed. Monthly cost of maintaining two providers: $60 ($30 primary + $30 standby with minimal usage).
Who It Is For
Agent developers running production search workflows who cannot afford search outages. SRE teams building resilient agent infrastructure.
Key Benefits
- Eliminate single-provider search failures with automatic failover
- Failover triggers in under 2 seconds, invisible to end users
- Standby provider costs $5-30/mo for minimal keepalive traffic
- Same query format works across Scavio, Tavily, and Brave with thin adapter
- Production uptime goes from 99.5% (single provider) to 99.99% (dual provider)
Python Example
import requests
from typing import Optional
PROVIDERS = [
{"name": "scavio", "url": "https://api.scavio.dev/api/v1/search", "header": "x-api-key", "key": "your_scavio_key"},
{"name": "backup", "url": "https://api.backup-provider.dev/search", "header": "x-api-key", "key": "your_backup_key"},
]
def resilient_search(query: str, platform: str = "google") -> Optional[dict]:
for provider in PROVIDERS:
try:
r = requests.post(
provider["url"],
headers={provider["header"]: provider["key"]},
json={"platform": platform, "query": query},
timeout=8,
)
if r.status_code == 200:
return {"provider": provider["name"], "data": r.json()}
except (requests.Timeout, requests.ConnectionError):
continue
return None
result = resilient_search("latest ai news 2026")
if result:
print(f"Served by: {result["provider"]}, results: {len(result["data"].get("organic", []))}")JavaScript Example
const PROVIDERS = [
{ name: "scavio", url: "https://api.scavio.dev/api/v1/search", header: "x-api-key", key: "your_scavio_key" },
{ name: "backup", url: "https://api.backup-provider.dev/search", header: "x-api-key", key: "your_backup_key" },
];
async function resilientSearch(query, platform = "google") {
for (const provider of PROVIDERS) {
try {
const controller = new AbortController();
const timeout = setTimeout(() => controller.abort(), 8000);
const res = await fetch(provider.url, {
method: "POST",
headers: { [provider.header]: provider.key, "content-type": "application/json" },
body: JSON.stringify({ platform, query }),
signal: controller.signal,
});
clearTimeout(timeout);
if (res.ok) return { provider: provider.name, data: await res.json() };
} catch (e) { continue; }
}
return null;
}
const result = await resilientSearch("latest ai news 2026");
if (result) console.log(`Served by: ${result.provider}, results: ${(result.data.organic || []).length}`);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
Community, posts & threaded comments from any subreddit