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
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Full Working Example

A production-ready example with error handling:

# Generic HTTP integration for RubyLLM
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Available Platforms

Once connected, your RubyLLM agent has access to all four 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 — Post, profile, and company discovery via search
• TikTok — Trending video, creator, and product discovery
• Shopify — Cross-store product discovery and enrichment
• X (Twitter) — Post and profile discovery via search
• Apple App Store — App discovery, ranking, and review data
• Google Play Store — Android app discovery and ranking data
• Google Reviews — Business review extraction with ratings and responses
• Google Scholar — Academic paper search with citation counts
• Google Ads Transparency — Competitor ad creative and transparency data via SERP
• Reddit Comments Tree — Deep threaded comment fetch for brand monitoring
• YouTube Shorts — Shorts-specific search with metadata
• YouTube Playlists — Playlist discovery and removal tracking
• Google Jobs — Live jobs-board search for recruiting
• Amazon Bestsellers — Bestseller rank-change feed across categories

Pricing

Scavio offers a free tier with 500 credits/month (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.