Scavio for Coding Agent Documentation Lookup

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Coding agents trained on data from months ago suggest deprecated APIs, outdated syntax, and removed features.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

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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.