Scavio for Customer Support Agent Grounded in Search

The Problem

Support agents using static knowledge bases give outdated answers when products change. Agents using only LLM training data hallucinate product details. Live search grounding ensures every response references current information.

How Scavio Helps

• Responses grounded in current product pages, not stale embeddings
• Catches pricing and feature changes immediately
• Reduces hallucination of product details to near zero
• Search cost per support query: $0.005
• Compatible with any LLM backend (OpenAI, Anthropic, open-source)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Customer asks 'What's the current pricing for the Pro plan?' Agent searches company's pricing page via Scavio extract endpoint, gets live pricing data, responds with accurate current pricing. No risk of quoting last quarter's prices from stale embeddings.":

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 Support teams deploying AI agents, SaaS companies with frequently updated products, e-commerce support teams

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