The Problem
Coding agents trained on data from months ago suggest deprecated APIs, outdated syntax, and removed features. Developers waste time debugging agent suggestions that worked in an older version but fail in the current release.
How Scavio Helps
- Agent searches for latest docs instead of guessing from training data
- Catches breaking changes, deprecated APIs, and new features the model missed
- Search results include official docs, Stack Overflow answers, and GitHub issues
- MCP integration: add one server block to Claude Code, Cursor, or Windsurf config
- Cost: $0.005/search, free tier covers 250 doc lookups/month
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "next.js 15 app router middleware breaking changes 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 Developers using AI coding agents who need current documentation instead of stale training data
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your coding agent documentation lookup 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.