Orbis Research & Data Extraction MCP 🔍

Real web search, scraping, and data extraction APIs for AI agents. Pay per call with USDC on Base — no API keys, no accounts, no subscriptions.

What's Actually In Here

These are the most-called APIs in this domain on Orbis:

| API | Calls | What it does | |-----|-------|-------------| | Web Search Query | 241 | Keyword web search returning structured results | | Reddit Subreddit Search API | 221 | Search Reddit posts across any subreddit | | Web Content Type Classifier API | 193 | Classify what type of content a URL contains | | Web Data Extractor Intelligence API | 193 | Intelligently extract structured data from any page | | Reddit Posts & Comments API | 180 | Fetch posts and comments from Reddit | | Google Search Results API | 178 | Structured Google SERP results | | Google Maps & Places API | 173 | Places, reviews, and location data from Google Maps | | Web Scrape Planner API | 163 | Generate a scraping strategy for any website | | Structured Data Extractor API | 58 | Extract structured JSON from unstructured web pages | | Web Scraping API | 57 | Render and scrape any public web page | | Data Extraction Quality Scorer API | 50 | Score the quality of extracted data | | Web Scraping ROI Calculator API | 37 | Estimate the cost/value of a scraping project |

Quick Start

No API key needed. No account. Paste into your MCP client:

Claude Desktop / Claude Code

{
  "mcpServers": {
    "orbis-research": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://orbisapi.com/api/mcp/research"]
    }
  }
}

Config path: ~/Library/Application Support/Claude/claude_desktop_config.json

Cursor / Windsurf / Cline

{
  "mcpServers": {
    "orbis-research": {
      "url": "https://orbisapi.com/api/mcp/research"
    }
  }
}

OpenAI Codex CLI

# ~/.codex/config.yaml
mcpServers:
  orbis-research:
    type: url
    url: "https://orbisapi.com/api/mcp/research"

Example Prompts

Once connected, try:

• "Search the web for the latest news about Coinbase's x402 integration"
• "Search Reddit's r/MachineLearning for discussions about MCP servers"
• "Scrape this page and extract all the pricing data as JSON: https://..."
• "Get the top 10 Google results for 'best MCP servers 2025'"
• "Find all Google Maps reviews for this business and summarize sentiment"
• "Plan how I'd scrape this e-commerce site for product data"

Direct x402 Usage (Node.js)

import { wrapFetchWithPayment } from "x402-fetch";
import { privateKeyToAccount } from "viem/accounts";
import { createWalletClient, http } from "viem";
import { base } from "viem/chains";

const account = privateKeyToAccount(process.env.WALLET_PRIVATE_KEY);
const walletClient = createWalletClient({ account, chain: base, transport: http() });
const fetch = wrapFetchWithPayment(globalThis.fetch, walletClient);

// Google Search — 178 real calls on Orbis
const resp = await fetch(
  "https://orbisapi.com/api/proxy/google-search-results-api-9c77d5/search",
  { method: "POST", headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ query: "MCP servers for AI agents", limit: 10 }) }
);
console.log(await resp.json());

See example.mjs for a full working script.

All Orbis Domain MCPs

| Domain | URL | |--------|-----| | ₿ Crypto & Blockchain | https://orbisapi.com/api/mcp/crypto | | 🔍 Research & Data | https://orbisapi.com/api/mcp/research | | 🛒 Commerce & Retail | https://orbisapi.com/api/mcp/commerce | | ✈️ Travel | https://orbisapi.com/api/mcp/travel | | 🌐 All 20,000+ APIs | https://orbisapi.com/api/mcp |

Built by Orbis — the API marketplace for AI agents.

Connect

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "orbis-research": { "url": "https://orbisapi.com/api/mcp/research" }
  }
}

OpenAI Agents SDK

Python:

from agents.mcp import MCPServerStreamableHttp
from agents import Agent, Runner

mcp = MCPServerStreamableHttp(url="https://orbisapi.com/api/mcp/research")

agent = Agent(
    name="Orbis Research Agent",
    model="gpt-4o",
    mcp_servers=[mcp]
)

result = await Runner.run(agent, "Browse available research APIs")
print(result.final_output)

TypeScript:

import { Agent, run } from "@openai/agents";
import { MCPServerStreamableHttp } from "@openai/agents/mcp";

const mcp = new MCPServerStreamableHttp({
  url: "https://orbisapi.com/api/mcp/research",
});

const agent = new Agent({
  name: "Orbis Research Agent",
  model: "gpt-4o",
  mcpServers: [mcp],
});

const result = await run(agent, "Browse available research APIs");
console.log(result.finalOutput);

Calls are billed per-use in USDC via x402 on Base mainnet. No subscription, no API key required.