Scavio for Budget-Controlled Agent Search

The Problem

AI agents with web search tools can execute hundreds of queries in a single loop, generating unexpected API costs when poorly constrained, with no built-in budget controls in most search APIs.

How Scavio Helps

• Per-session and per-day budget caps prevent runaway costs
• Clear error on budget exhaustion enables graceful fallback
• Cost tracking per task for usage analytics and billing
• $0.50 session budget allows 100 searches per task
• Works with any agent framework or plain function calling

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "AI agent search budget control cost guardrails API 2026":

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 engineers running agents in production, platform teams building agent infrastructure, and teams with per-user billing requirements

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your budget-controlled agent search 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.