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Prediction Market Data

核心功能：查询Polymarket、Kalshi平台的预测市场数据，支持搜索市场、价格、订单簿、K线、持仓、钱包盈亏，还可跨平台对比体育赛事数据。典型场景：了解选举、美联储利率等事件概率，查看市场情绪、钱包盈亏，多平台市场对比。输入为Python命令（需配置AISA_API_KEY），输出结构化数据，操作只读，按次付费（0.01美元/查询）。

bibaofeng
bibaofeng
热度 37.34
最近更新 2026-05-11 17:39:34
分类：数据依赖：代码执行 / 第三方 API应用场景：市场分析 / 数据处理 / 财务

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add prediction-market-data
Metadata
name
prediction-market-data
description
Cross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when user asks about: prediction market odds, election betting, event probabilities, market sentiment, Polymarket prices, Kalshi prices, sports betting odds, wallet PnL, or cross-platform market comparison.
license
MIT
metadata
{"openclaw":{"emoji":"📈","requires":{"bins":["python3"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY"}}

Prediction Market Data

Query Polymarket and Kalshi prediction markets via AIsa API.

Setup

export AISA_API_KEY="your-key"

Get a key at aisa.one ($0.01/query, pay-as-you-go).

Workflow

Querying prediction market data involves these steps:

  1. Search markets to find IDs (always start here)
  2. Extract the ID from the response (token_id, condition_id, or market_ticker)
  3. Query details using the extracted ID (price, orderbook, candlesticks, etc.)

Quick Examples

Polymarket: search → get price

# Step 1: Search — find markets and extract token_id (side_a.id or side_b.id)
python3 {baseDir}/scripts/prediction_market_client.py polymarket markets --search "election" --status open --limit 5

# Step 2: Get price using token_id from Step 1
python3 {baseDir}/scripts/prediction_market_client.py polymarket price <token_id>

Kalshi: search → get price

# Step 1: Search — find markets and extract market_ticker
python3 {baseDir}/scripts/prediction_market_client.py kalshi markets --search "fed rate" --status open --limit 5

# Step 2: Get price using market_ticker from Step 1
python3 {baseDir}/scripts/prediction_market_client.py kalshi price <market_ticker>

Cross-platform sports

python3 {baseDir}/scripts/prediction_market_client.py sports by-date nba --date 2025-04-01

ID Reference

Most commands need an ID from the markets response. Always search first.

Platform ID Field Where to Find
Polymarket token_id side_a.id or side_b.id in markets output
Polymarket condition_id condition_id in markets output
Kalshi market_ticker market_ticker in markets output

Commands

Polymarket

python3 {baseDir}/scripts/prediction_market_client.py polymarket markets [--search <kw>] [--status open|closed] [--min-volume <n>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket price <token_id> [--at-time <unix_ts>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket activity --user <wallet> [--market-slug <slug>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orders [--market-slug <slug>] [--token-id <id>] [--user <wallet>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orderbooks --token-id <id> [--start <ms>] [--end <ms>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket candlesticks <condition_id> --start <unix_ts> --end <unix_ts> [--interval 1|60|1440]
python3 {baseDir}/scripts/prediction_market_client.py polymarket positions <wallet_address> [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket wallet (--eoa <addr> | --proxy <addr>) [--with-metrics]
python3 {baseDir}/scripts/prediction_market_client.py polymarket pnl <wallet_address> --granularity <day|week|month>

Kalshi

python3 {baseDir}/scripts/prediction_market_client.py kalshi markets [--search <kw>] [--status open|closed] [--min-volume <n>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py kalshi price <market_ticker> [--at-time <unix_ts>]
python3 {baseDir}/scripts/prediction_market_client.py kalshi trades [--ticker <ticker>] [--start <unix_ts>] [--end <unix_ts>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py kalshi orderbooks --ticker <ticker> [--start <ms>] [--end <ms>] [--limit <n>]

Cross-Platform Sports

python3 {baseDir}/scripts/prediction_market_client.py sports matching (--polymarket-slug <slug> | --kalshi-ticker <ticker>)
python3 {baseDir}/scripts/prediction_market_client.py sports by-date <sport> --date <YYYY-MM-DD>

Sports: nfl, mlb, cfb, nba, nhl, cbb, pga, tennis.

Understanding Odds

Prices are decimals: 0.65 = 65% implied probability. "Yes" price = probability the event happens. Higher volume = more liquidity.

Security & Permissions

Requires: AISA_API_KEY environment variable.

All operations are read-only via HTTPS GET to api.aisa.one. No trades executed, no wallets connected, no personal data sent beyond the API key. Every response includes usage.cost and usage.credits_remaining.

Full docs: AIsa API Reference.