Scavio for Coding Agent Web Search Grounding

The Problem

Coding agents generate code based on training data that can be months old. Package APIs change, frameworks release breaking updates, and deprecated patterns persist in LLM training sets. Without live search grounding, agents confidently produce code that no longer works.

How Scavio Helps

• Current documentation references instead of stale training data
• Catches deprecated APIs before they cause runtime errors
• One search per uncertainty costs $0.005
• Works with any MCP-compatible coding agent
• Reduces hallucinated package names and import paths

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Agent is writing a FastAPI endpoint and needs the current Pydantic v2 field validator syntax. Instead of guessing from training data, it searches 'pydantic v2 field_validator 2026' via Scavio, gets the current docs page, and writes correct code. Cost: 1 credit ($0.005).":

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 (Pi Coding Agent, Claude Code, Cursor, Windsurf), teams building custom coding assistants

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your coding agent web search grounding solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.