Scavio for Token-Efficient Web Search for AI Agents

The Problem

AI agents that fetch raw web pages inject 20,000-25,000 tokens into the context window per search. At LLM pricing, this makes search-heavy agents prohibitively expensive. Raw HTML includes navigation, ads, scripts, and formatting that provide no value to the agent.

How Scavio Helps

• Reduce search tokens from 25K to 1,200 per query
• Cut agent LLM costs by 90%+ on search-heavy workflows
• Structured JSON eliminates HTML parsing and cleaning
• Consistent schema across Google, Reddit, YouTube platforms
• 250 free searches/month covers agent prototyping

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "A research agent makes 100 searches per day. Raw HTML: 100 x 25K tokens = 2.5M input tokens at $7.50/day in LLM costs. Structured API: 100 x 1,200 tokens = 120K tokens at $0.36/day + $0.50 API = $0.86/day. Monthly savings: $225 vs $26. The structured approach pays for itself immediately.":

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 AI agent developers, LLM application builders, teams optimizing agent operating costs

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your token-efficient web search for ai agents 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.