Scavio for Comet Skill Research Delegation

The Problem

An r/codex post: web research inside coding agents still sucks; agents block waiting or dump 10K tokens into context. Comet Skill delegates and returns a URL.

How Scavio Helps

• No API cost — uses existing Comet desktop session
• Coding agent stays unblocked
• Returns search URL, not 10K tokens
• Pairs with Scavio MCP for fast per-call lookups
• Free open source

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Claude Code task → 'Need deep research on X' → comet_research(X) → Comet opens tab, runs Deep Research, returns /search/<id> URL → Claude continues other work → user reviews thread when ready":

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 Solo developers paying for Perplexity Pro, indie builders avoiding additional API spend, hobby coders running daily Claude Code or Codex sessions

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your comet skill research delegation 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.