--- name: prediction-market-data-zh-08095edafb6b description: '通过 AIsa API 查询跨平台预测市场数据。支持 Polymarket 和 Kalshi 的市场行情、价格、订单簿、K线、持仓和交易记录。适用场景：查询预测市场赔率、选举博彩、事件概率、市场情绪、Polymarket 价格、Kalshi 价格、体育博彩赔率、钱包盈亏、跨平台市场对比。 Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.' license: MIT compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one. metadata: author: AIsa version: 1.0.0 homepage: https://aisa.one repository: https://github.com/baofeng-tech/agent-skills tags: market,stock,prediction,aisa platforms: agentskills.io,agentskill.sh,github primary_env: AISA_API_KEY allowed-tools: Read Bash Grep --- # 预测市场数据 通过 [AIsa API](https://aisa.one) 查询 [Polymarket](https://polymarket.com) 和 [Kalshi](https://kalshi.com) 预测市场。 ## 配置 ```bash export AISA_API_KEY="your-key" ``` 在 [aisa.one](https://aisa.one) 获取 Key（$0.01/次查询，按量付费）。 ## 工作流程 查询预测市场数据的步骤： 1. **搜索市场**获取 ID（必须从这一步开始） 2. **从返回结果中提取 ID**（`token_id`、`condition_id` 或 `market_ticker`） 3. **用 ID 查询详情**（价格、订单簿、K线等） ## 快速示例 ### Polymarket：搜索 → 获取价格 ```bash # 第一步：搜索市场，提取 token_id（side_a.id 或 side_b.id） python3 scripts/prediction_market_client.py polymarket markets --search "election" --status open --limit 5 # 第二步：用第一步的 token_id 获取价格 python3 scripts/prediction_market_client.py polymarket price ``` ### Kalshi：搜索 → 获取价格 ```bash # 第一步：搜索市场，提取 market_ticker python3 scripts/prediction_market_client.py kalshi markets --search "fed rate" --status open --limit 5 # 第二步：用第一步的 market_ticker 获取价格 python3 scripts/prediction_market_client.py kalshi price ``` ### 跨平台体育市场 ```bash python3 scripts/prediction_market_client.py sports by-date nba --date 2025-04-01 ``` ## ID 参考 大多数命令需要从 `markets` 返回中获取 ID，务必先搜索。 | 平台 | ID 字段 | 获取位置 | |------|---------|----------| | Polymarket | `token_id` | markets 输出中的 `side_a.id` 或 `side_b.id` | | Polymarket | `condition_id` | markets 输出中的 `condition_id` | | Kalshi | `market_ticker` | markets 输出中的 `market_ticker` | ## 命令参考 ### Polymarket ```bash python3 scripts/prediction_market_client.py polymarket markets [--search <关键词>] [--status open|closed] [--min-volume <数值>] [--limit <数值>] python3 scripts/prediction_market_client.py polymarket price [--at-time ] python3 scripts/prediction_market_client.py polymarket activity --user <钱包地址> [--market-slug ] [--limit <数值>] python3 scripts/prediction_market_client.py polymarket orders [--market-slug ] [--token-id ] [--user <钱包地址>] [--limit <数值>] python3 scripts/prediction_market_client.py polymarket orderbooks --token-id [--start <毫秒>] [--end <毫秒>] [--limit <数值>] python3 scripts/prediction_market_client.py polymarket candlesticks --start --end [--interval 1|60|1440] python3 scripts/prediction_market_client.py polymarket positions <钱包地址> [--limit <数值>] python3 scripts/prediction_market_client.py polymarket wallet (--eoa <地址> | --proxy <地址>) [--with-metrics] python3 scripts/prediction_market_client.py polymarket pnl <钱包地址> --granularity ``` ### Kalshi ```bash python3 scripts/prediction_market_client.py kalshi markets [--search <关键词>] [--status open|closed] [--min-volume <数值>] [--limit <数值>] python3 scripts/prediction_market_client.py kalshi price [--at-time ] python3 scripts/prediction_market_client.py kalshi trades [--ticker ] [--start ] [--end ] [--limit <数值>] python3 scripts/prediction_market_client.py kalshi orderbooks --ticker [--start <毫秒>] [--end <毫秒>] [--limit <数值>] ``` ### 跨平台体育市场 ```bash python3 scripts/prediction_market_client.py sports matching (--polymarket-slug | --kalshi-ticker ) python3 scripts/prediction_market_client.py sports by-date <运动类型> --date ``` 支持：`nfl`、`mlb`、`cfb`、`nba`、`nhl`、`cbb`、`pga`、`tennis`。 ## 理解赔率 价格为小数：`0.65` = 65% 隐含概率。"Yes" 价格 = 事件发生的概率。交易量越高 = 流动性越强。 ## 安全与权限 **需要：** `AISA_API_KEY` 环境变量。 所有操作均为**只读**，通过 HTTPS GET 请求 `api.aisa.one`。不执行交易、不连接钱包、除 API Key 外不发送个人数据。每个响应包含 `usage.cost` 和 `usage.credits_remaining`。 完整文档：[AIsa API 参考](https://docs.aisa.one/reference/)。 --- Source attribution: baofeng-tech Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/prediction-market-data-zh/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: baofeng-tech Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/prediction-market-data-zh/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Marketing Roles: Data Analyst, Growth Marketer, Market Research Analyst Specialties: API, Backend, Design, Frontend, Git Tools: Aisa Api Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: a1dd1fea88de3b2fc46cb9bc68de55d8a4897a28893d05c7dd7ebf270289dcfc