The Problem
An r/ClaudeAI post documented Claude Code grep+read fanout costing tens of thousands of input tokens per query on large repos.
How Scavio Helps
- Token cost drops 80-98% on large repos
- Local-only code search (no cloud upload)
- Scavio handles out-of-repo grounding
- Two clearly-named MCPs, no overlap
- Per-week LLM bill drops 30-50% for heavy users
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "Find pagination handling in /api/v2 → semble.search returns matching ranges → scavio.search Stack Overflow for the cursor library bug → edit":
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 Claude Code users on large repos (>100K LOC), engineering teams paying for Anthropic-routed agents, devs with token-cost anxiety
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your local code search for claude code 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.