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