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