Scavio for Live Product Pricing and Reddit Sentiment for AI Agents

The Problem

AI agents answering product questions hallucinate prices and cite outdated reviews. Without live pricing and community sentiment, agent product recommendations are unreliable and lose user trust.

How Scavio Helps

• Real-time Amazon and Walmart pricing in a single API call
• Reddit sentiment adds authentic community perspective to product answers
• Structured price, rating, and review data agents can reason over directly
• Cross-platform price comparison without multiple API integrations
• Cost: $0.015/product check (Amazon + Walmart + Reddit = 3 credits)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Amazon for "sony wh-1000xm6 headphones price and reviews":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/amazon/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query, "marketplace": "us"},
)

data = response.json()
for product in data.get("products", [])[:5]:
    print(f"{product['title']} — {product.get('price', 'N/A')} ({product.get('rating', 'N/A')}⭐)")

Built for AI product assistant developers, shopping bot builders, and recommendation engine teams

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your live product pricing and reddit sentiment 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.