The Problem
AI teams that depend on a single search provider face existential risk when that provider changes terms. Tavily's acquisition, Brave's free tier removal, and Google CSE's closure all happened within 12 months. Building your own layer adds resilience.
How Scavio Helps
- Build a search abstraction layer with caching, routing, and fallback logic
- Add your own rate limiting, cost controls, and access management
- Provider-agnostic interface: swap underlying API without changing your product code
- Multi-platform coverage: Google, Amazon, YouTube, Walmart, Reddit, TikTok
- Start at $0.005/credit, scale with $30/month plan (7K credits)
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
YouTube
Video search with transcripts and metadata
Walmart
Product search with pricing and fulfillment data
Community, posts & threaded comments from any subreddit
TikTok
Trending video, creator, and product discovery
Quick Start: Python Example
Here is a quick example searching Google for "search infrastructure layer ai product architecture 2026":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for AI platform engineers, CTO-level decision makers, and infrastructure teams building search-dependent products
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your building your own search infrastructure solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.