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AI agents answering product questions hallucinate prices and cite outdated reviews.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
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data
Community, posts & threaded comments from any subreddit
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 (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.