The Problem
Vercel AI SDK's tool-calling pattern wants a typed response. Scavio's organic_results + ai_overview + knowledge_graph shape maps cleanly. The wrapper is one file in lib/tools/scavio.ts.
How Scavio Helps
- Edge-runtime friendly
- 30-line tool wrapper
- Multi-surface from one key
- Plain fetch() — no SDK
- Free 250 credits/mo for prototyping
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "add live web search to an AI SDK chatbot":
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 Vercel-first builders, Next.js + AI SDK developers, edge-runtime teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your vercel ai sdk agent with live search solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.