Scavio + Vercel AI SDK

What is Vercel AI SDK?

TypeScript toolkit for building AI-powered applications with React Server Components, streaming, and tool calling.

How It Works

Scavio connects to Vercel AI SDK via a custom tool definition. Once connected, your Vercel AI SDK agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON -- no HTML parsing, no scraping infrastructure.

Setup

npm install ai @ai-sdk/anthropic zod

Code Example

Here is a complete Vercel AI SDK integration with Scavio:

import { generateText, tool } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
import { z } from "zod";

const result = await generateText({
  model: anthropic("claude-sonnet-4-20250514"),
  tools: {
    scavioSearch: tool({
      description: "Search the web for real-time results",
      parameters: z.object({ query: z.string() }),
      execute: async ({ query }) => {
        const res = await fetch("https://api.scavio.dev/api/v1/search", {
          method: "POST",
          headers: { "x-api-key": process.env.SCAVIO_API_KEY!, "Content-Type": "application/json" },
          body: JSON.stringify({ query }),
        });
        return res.json();
      },
    }),
  },
  prompt: "Find the best noise cancelling headphones",
});

console.log(result.text);

Full Working Example

A production-ready example with error handling:

import { generateText, tool } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
import { z } from "zod";

const result = await generateText({
  model: anthropic("claude-sonnet-4-20250514"),
  maxSteps: 5,
  tools: {
    scavioSearch: tool({
      description: "Search the web for real-time results",
      parameters: z.object({ query: z.string() }),
      execute: async ({ query }) => {
        const res = await fetch("https://api.scavio.dev/api/v1/search", {
          method: "POST",
          headers: { "x-api-key": process.env.SCAVIO_API_KEY!, "Content-Type": "application/json" },
          body: JSON.stringify({ query }),
        });
        return res.json();
      },
    }),
  },
  prompt: "Find the best noise cancelling headphones",
});

console.log(result.text);

Available Platforms

Once connected, your Vercel AI SDK 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 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Vercel AI SDK integration. Paid plans start at $30/month for higher volumes.