Integration

Vercel AI SDK + Reddit Comments Tree

Search Reddit Comments Tree from your Vercel AI SDK agent with Scavio. Get comment text, author, score in structured JSON.

What is Vercel AI SDK?

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

Searching Reddit Comments Tree with Vercel AI SDK

This integration lets your Vercel AI SDK agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, author, score, depth — ready for reasoning and decision-making.

Setup

Bash
npm install ai @ai-sdk/anthropic zod

Code Example

Here is a complete Vercel AI SDK agent that searches Reddit Comments Tree using 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 Reddit Comments Tree 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: "r/ChatGPT best prompt for summarizing long articles",
});

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 Reddit Comments Tree 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: "r/ChatGPT best prompt for summarizing long articles",
});

console.log(result.text);

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 Vercel AI SDK integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio and create a Vercel AI SDK tool that calls the Scavio API. Register the tool with your agent and your Vercel AI SDK agent will have access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with Vercel AI SDK via custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your Vercel AI SDK agent can search Google (web, news, images, shopping, maps), Amazon (12 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 500 credits/month (1 credit per search). This is enough to build and test your Vercel AI SDK integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Reddit Comments Tree results with comment text, author, score in structured JSON. Your Vercel AI SDK agent can use this data to make informed decisions based on current information.

Add Real-Time Search to Vercel AI SDK

Get your free Scavio API key and connect Vercel AI SDK to Google, Amazon, YouTube, Walmart, and Reddit. 500 free credits/month.