
outcometick
io.github.outcometick由 GitHub 帳號 outcometick 發布v3.0.0更新於 Oct 24, 2026
Polymarket and Predict.fun historical tick data, plus backtest quotes and status, over MCP
概覽
讓助理存取 outcometick 的 Polymarket 與 Predict.fun 逐筆資料存檔:查看涵蓋範圍、搜尋並下載檔案、驗證策略,以及取得回測報價與狀態。
- 可以做什麼
- 查看各交易場所的存檔涵蓋範圍、目前可回測的日期以及佇列忙碌程度
- 在不提交的情況下以點數估算回測範圍的價格,並列出資料或聰明錢訂閱方案與即時價格
- 使用與回測佇列相同的驗證器檢查策略目錄
- 查看資料金鑰可存取的日期區間與篩選值,搜尋存檔檔案,並下載單一檔案並驗證 sha256
- 在回測金鑰下檢視近期回測執行,以及單次執行的狀態、點數與報告摘要
- 列出已發布的聰明錢日期,並下載某一天的頂尖交易者名單並驗證校驗碼
- 適用情境
- 適合在撰寫或審閱 Polymarket、Predict.fun 交易策略時使用,讓助理驗證策略、估算回測成本,或把歷史逐筆資料與聰明錢名單帶進對話中。
- 執行需求
- 可作為託管的 Streamable HTTP 端點使用,也可透過 npx 在本機執行,需要 Node 24 或更新版本。公開工具不需金鑰;資料、聰明錢與回測工具需要對應金鑰,可透過 OT_KEY、OT_SMART_KEY、OT_BACKTEST_KEY 環境變數提供,或以 Authorization bearer 標頭加上選用的 X-Backtest-Key、X-Smart-Key 提供,也可透過 OAuth 登入。需要網路連線。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 outcometick,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.outcometick%2Foutcometick/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"outcometick": {
"type": "http",
"url": "https://outcometick.com/v1/mcp"
}
}
}README
outcometick
The TypeScript / JavaScript strategy SDK and the ot command line for
outcometick.com — tick-level data for Polymarket and
Predict.fun crypto Up/Down markets.
Breaking in 2.0: backtests cover only the most recent 35 archived
days, and the window moves forward as days are archived. A --from before the
window, or --days longer than it, is refused with E_SCOPE before anything
is uploaded, and the message names the current window. Use --days <n> for the
most recent n days; the current dates are at
https://outcometick.com/v1/backtest/capacity?venue=polymarket.
Writing a strategy
Fully typed — ot ships .d.ts declarations, so a strategy that type-checks
is one the queue will accept.
Plain JavaScript works too — the runtime is ESM with no build step.
The point of ot check
It runs the same validator the queue runs — the same module, not a copy. If it passes locally it will not be rejected on submit. That is only true because there is one implementation, which is why the validator and the static analysers ship in this package rather than being reimplemented client-side.
What ot run is and is not
It is the same engine, the same report and the same archive format the queue uses, against a local copy of the archive:
It is not the sandbox. Locally your strategy runs as you, with your privileges, on your machine — which is fine, because it is your code. On our machines it runs in a container with no network, no writable filesystem and a hard CPU and wall-clock budget.
Testing
Requires python3 on PATH: one of the two static analysers is written in
Python, and the CLI drives it the same way the API does.
Downloading data
The other half of the package: a client for the data subscription, on a separate import because it has nothing to do with writing a strategy.
meta() reports the dimensions this key can actually reach. Note that
intervals holds real durations only — the none sentinel is reported
separately under filterTokens, so a caller that builds an enum from it or
parses the values as durations never meets a token.
Downloads are checksum-verified: /v1/dl redirects to storage with the sha256
in a header, and the client follows that redirect itself so the checksum is not
thrown away.
Rebuilding a Polymarket order book
book and price_change are stored at a capture cadence, so a removal can
fall between two stored frames and leave a stale level behind. OrderBook
applies the documented rebuild rule: snapshots replace a token's
ladder, changes set absolute sizes (0 removes), and levels crossed by the newest
best bid/ask (from best_bid_ask and from each change) are dropped. Feed it
rows from the three files merged by recv_ms.
That removes every level the best prices have moved past, but it cannot
restore what the dropped frames added or resized: until the next snapshot a
level, at the top too, can be missing or carry an old size (best_bid_ask has
prices only). best() is the best level of the rebuilt ladder, not the
market's latest best bid/ask — read best_bid_ask rows for that.
Smart-money trade history
A separate subscription with its own key: daily files of the trades made by the top-ranked Polymarket traders.
What the lists are and what each column means: https://outcometick.com/polymarket-smart-money-data
MCP server
ot mcp is a Model Context Protocol server over stdio, for coding assistants
and agents. It reads, prices, validates and downloads; it never submits a
backtest, because that spends credits. Needs Node 24 or newer.
Claude Code: claude mcp add outcometick -e OT_KEY=<data key> -- npx -y outcometick mcp
The same tools are also hosted, with nothing to install, over Streamable HTTP:
https://outcometick.com/v1/mcp: sendAuthorization: Bearer <key>(data, smart-money or backtest key; add a second or third key asX-Backtest-Key/X-Smart-Key), or connect without a header and sign in with OAuth, pasting your keys on the consent page (claude.ai and ChatGPT connectors).https://outcometick.com/v1/mcp/public: no key, public tools only.
claude mcp add --transport http outcometick https://outcometick.com/v1/mcp --header "Authorization: Bearer <data key>"
Hosted, download_file and smart_download return a signed URL and its sha256 instead of writing to disk, and check_strategy takes the file contents instead of a directory.
Writing your strategy in Python instead? The SDK for it is
pip install outcometick. ot runs
those too — it is the one CLI for both languages.
Full reference: https://outcometick.com/docs/sdk
Links
- outcometick.com — what this is, and what the data covers
- Run a backtest — paste a strategy, watch it run
- SDK reference — manifest, hooks,
ctx, limits - Data API — the archive these strategies read
- Discord (English and 中文) and Telegram — questions and strategy talk
來源:README.md,提交 4ca7ac8
工具
0版本歷史
3- v3.0.0最新Oct 15, 2026
- v2.13.3Oct 15, 2026
- v2.13.1Oct 14, 2026
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