Scavio + RubyLLM

What is RubyLLM?

Unified Ruby gem that wraps OpenAI, Anthropic, Gemini, Bedrock, VertexAI, OpenRouter, DeepSeek, Ollama, Perplexity, Mistral, and xAI behind one API. RubyLLM::Agents ships a Rails engine for production agents with execution tracking, PII redaction, budget enforcement, tenant isolation, and a live dashboard. Call Scavio over HTTP from inside any RubyLLM tool to give Rails agents live Google SERP, YouTube transcripts, Amazon product data, and Reddit context without managing proxies or parsers.

How It Works

Scavio connects to RubyLLM via HTTP requests. Once connected, your RubyLLM agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON -- no HTML parsing, no scraping infrastructure.

Setup

bundle add ruby_llm && bundle add ruby_llm-agents

Code Example

Here is a complete RubyLLM integration with Scavio:

# Generic HTTP integration for RubyLLM
# Point your framework's HTTP request tool at:
#
#   POST https://api.scavio.dev/api/v2/google
#   Authorization: Bearer sk_live_your_key
#   Content-Type: application/json
#   {"query":"your search query"}
#
# Rows come back under organic_results.
#
# Google v2 is a passthrough: results sit at the top level, not under a data key.

Full Working Example

A production-ready example with error handling:

# Generic HTTP integration for RubyLLM
# Point your framework's HTTP request tool at:
#
#   POST https://api.scavio.dev/api/v2/google
#   Authorization: Bearer sk_live_your_key
#   Content-Type: application/json
#   {"query":"your search query"}
#
# Rows come back under organic_results.
#
# Google v2 is a passthrough: results sit at the top level, not under a data key.

Available Platforms

Once connected, your RubyLLM agent has access to the Scavio platforms:

• Google — Web search with knowledge graph, PAA, and AI overviews
• Amazon — Product search with prices, ratings, and reviews
• Reddit — Community, posts & threaded comments from any subreddit
• YouTube — Video search with transcripts and metadata
• Walmart — Product search with pricing and fulfillment data
• LinkedIn — Job search, plus profile and company lookup by URL
• TikTok — Trending video, creator, and product discovery
• Shopify — Shopify storefront discovery through Google search
• X (Twitter) — Post, profile, and timeline data from X
• Apple App Store — App Store listing discovery through Google search
• Google Play Store — Play Store listing discovery through Google search
• Google Reviews — Business review extraction with ratings and responses
• Google Scholar — Academic paper discovery through Google web search
• Google Ads Transparency — Live SERP ad creatives from the Google results page
• Reddit Comments Tree — Deep threaded comment fetch for brand monitoring
• YouTube Shorts — Shorts-specific search with metadata
• YouTube Playlists — Playlists as they appear in YouTube search results
• Google Jobs — Job listing discovery through Google web search
• Amazon Bestsellers — Best-seller signals from Amazon search results

Pricing

Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your RubyLLM integration. Paid plans start at $30/month for higher volumes.