dome

Fetch and aggregate Polymarket and Kalshi market prices, orderbooks, and trades.

12|4|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/orthogonal-sh/skills --skill dome
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dome
Source: https://github.com/orthogonal-sh/skills/tree/main/skills/orthogonal-dome
Command: npx skills add https://github.com/orthogonal-sh/skills --skill dome

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Polymarket and Kalshi data are scattered across platforms; this skill consolidates current prices, orderbooks, trades, and wallet activity to streamline research and decision making.

Core Features & Use Cases

  • Retrieve current market prices and historical price data across platforms (Polymarket, Kalshi)
  • Fetch orderbook history, trade history, and wallet PnL for individual markets
  • Cross-platform market matching and data consolidation for research, trading analysis, and arbitrage

Quick Start

Ask it to fetch the latest data for a Polymarket or Kalshi market and return current price, orderbook, and recent trades.

Frequently Asked Questions about dome

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch Polymarket and Kalshi prediction market data in one place?

Fetch Polymarket and Kalshi prediction market data by querying current prices, orderbooks, trade histories, and wallet PnL. This skill consolidates scattered cross-platform market data into a single endpoint to streamline research and trading analysis.

Can I get orderbook history and trade history for a specific Polymarket market?

Yes, you can retrieve orderbook history and trade history for individual Polymarket markets. Use queryable filters like ticker, market_ticker, start_time, end_time, and token_id to narrow down the exact market data you need.

What prediction market data endpoints are available for Kalshi and Polymarket?

Available endpoints cover market price, orderbook history, trades, wallets, candles, and chain data. You can filter these prediction market datasets using parameters like ticker, market_ticker, token_id, and custom start_time or end_time ranges.

How do I track wallet PnL and trade activity across prediction market platforms?

Track wallet PnL and trade activity by fetching wallet data and trade histories across Polymarket and Kalshi. This allows researchers and traders to monitor profitability and transaction records for individual markets in a consolidated view.

Does this tool support cross-platform market matching for prediction market arbitrage?

Yes, it supports cross-platform market matching and data consolidation. By fetching current prices and orderbooks from both Polymarket and Kalshi, users can compare market conditions to identify arbitrage opportunities and inform trading decisions.

Why consolidate prediction market data instead of using individual platform APIs?

Consolidating prediction market data eliminates the need to independently manage separate Polymarket and Kalshi APIs. It standardizes current prices, orderbooks, trades, and wallet activity into a unified format, streamlining data-driven decision making.