
Daepak Market Intelligence
io.github.Mobiss11由 GitHub 帳號 Mobiss11 發布v2.1.1更新於 Oct 25, 2026
Market analyst tools + AI agent: crypto, US equities, options, Korea, fundamentals, macro, backtests
概覽
Daepak Market Intelligence 為助理提供市場分析工具與 AI 代理,涵蓋加密貨幣、美股、韓國市場、選擇權、總體經濟與回測。
- 可以做什麼
- 加密貨幣與代幣資料:價格、K 線、支撐壓力位、指標、評分、衍生品、訂單簿、爆倉、恐懼貪婪指數,以及任意代幣查詢與持有者。美股與韓國市場:報價、歷史、價位、持有者、漲跌排行、暫停交易、泡菜溢價、KRX 篩選與 ETF。基本面與總體經濟:OpenDART 與 SEC 財報、跨市場比較、FRED 快照與序列。選擇權與驗證:隱含波動率指標、持倉、損益與希臘值、回測、訊號結果與命中率。研究:新聞與敘事檢索、抓取網址、網頁搜尋。個人紀錄:持倉、投資組合、交易日志、催化因素與記憶,讀寫權限分開。分析代理可回答問題並以串流輸出。
- 適用情境
- 當助理需要跨加密貨幣、美股、韓國股票、選擇權與總體經濟的市場資料與分析,或需要呼叫廠商的分析代理並維護交易日志時使用。免費方案的每月額度足以試用。
- 執行需求
- 可使用遠端端點並在瀏覽器中以 OAuth 登入,也可用 uvx 或 pip 從 PyPI 套件 daepak-mcp 在本機執行。本機方式需要環境變數 DAEPAK_API_KEY,須從廠商的 Keys 頁面取得。選用設定為 DAEPAK_BASE_URL 與 DAEPAK_TIMEOUT。需要網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Daepak Market Intelligence,將其新增到工作區。
- 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.Mobiss11%2Fdaepak-mcp/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。
{
"mcpServers": {
"daepak-market-intelligence": {
"type": "http",
"url": "https://daepak.com/mcp"
}
}
}README
Daepak MCP
Market intelligence tools for any MCP-capable engine — Claude Code, Claude Desktop, or your own agent. Prices, indicators, levels, positioning, the Korean market, US equities, options, backtests, macro (FRED), SEC and OpenDART fundamentals, and your own trading journal. 108 tools, the same ones the product's own analyst uses.
The server describes nothing itself: it pulls the catalogue from GET /v1/tools, so it
shows exactly what your key is allowed to call and never drifts from the product.
Quick start
No install — remote server (recommended)
The same tools are served at https://daepak.com/mcp (Streamable HTTP) with OAuth 2.1:
you sign in once in the browser, no key to copy.
Then /mcp inside Claude Code → daepak → Authenticate. Works the same way as a custom
connector in Claude.ai (paste the URL) and in ChatGPT developer mode. For Codex CLI:
Prefer a key instead of OAuth (servers, CI)? Send it as a header:
Local (stdio)
Or install it yourself:
Get a key on the Keys page of your profile at daepak.com. The free plan includes 2 000 credits a month — enough to build something over an evening.
Configuration
Nothing else is read. In particular there is no setting that names a user: the account is derived from the key, and a request cannot claim to be someone else.
What you get
The catalogue is filtered by your key's scopes — you never see a tool you cannot call.
Being allowed to read your journal does not allow writing to it. That is a separate scope.
Crypto — get_price, get_price_history, get_levels (support/resistance, Fibonacci,
ATR — computed, not drawn), get_indicators, get_score, get_regime, get_derivatives,
get_orderbook, get_liquidations, get_fear_greed
Korea — get_kimchi_premium (the Upbit-to-global spread, decomposed into the asset leg
and the currency leg), Korean tickers, fresh Upbit listings
US equities — get_stock_quote, get_stock_history, get_stock_levels,
get_stock_holders (institutions and insiders), get_us_gap_stats, get_us_movers,
get_us_halts, get_us_insiders
Fundamentals from primary sources — get_kr_financials (K-IFRS for any KRX listing,
OpenDART), get_us_financials (US-GAAP and IFRS by fiscal year from SEC EDGAR, up to 20
years), compare_financials (Korean and US companies in one schema, USD at the FRED rate),
get_kr_insiders, screen_kr (the whole KRX with RS percentiles and foreign-ownership
flow), get_kr_rs, list_kr_etfs, backtest_kr_portfolio (against KOSPI)
Macro — get_macro_snapshot (Fed funds, US 2Y/10Y and the curve, broad dollar,
USD/KRW, VIX, CPI as YoY, unemployment, Korean overnight rate), get_macro_series (any
FRED id with history). Every row carries stale_days; Korean CPI is absent on purpose —
FRED's series died in 2023.
Options — get_iv_metrics, get_options_positioning, get_option_structure (payoff and
greeks), get_options_backtest
Validation — get_backtest, get_signal_outcomes, get_hit_rate, get_score_history
Arbitrary tokens — resolve_token, get_token_market, get_token_onchain,
get_token_holders, for anything outside the watchlist
Research — search_news (RAG over the collected corpus), search_narratives,
fetch_url, web_search
The agent
The same analyst that answers in the product, over HTTP. It has everything the chat has:
Conversation memory. The first event carries conversation_id; pass it back and the
context continues.
Images. images takes data-URLs, exactly like chat attachments — the agent reads charts
and screenshots.
Mentor mode. mode: "mentor" explains how the reading was arrived at, not just the
conclusion.
⚠️ A dropped connection loses nothing. Generation continues in the background, the answer
still lands in the conversation, and resume replays what you missed. Keep the
conversation_id from the first event — that is where you reconnect.
⚠️ suggest (follow-up questions) arrives after done. A client that stops reading at
done will never see it. The order is deliberate: the spinner should stop before the
suggestions are computed.
Credits
Every tool declares its price in the catalogue, so a sequence can be budgeted before it runs. Prices come from measuring the tools in production, not from guessing:
A tool nobody has priced yet costs 5, not 1 — an unpriced tool is either an oversight or something heavy, and both are safer to over-charge than to give away.
When the monthly credits run out you get 402 naming two ways forward: a higher plan or the
renewal at the start of the month. There is no overage billing — we would rather refuse
than send an invoice nobody expected.
Using the API directly
The MCP server is a thin shell over a plain REST API.
Full reference: daepak.com/reference · OpenAPI 3.1: /v1/openapi.json (106 operations, no key needed to read it).
Reading the answers honestly
A few things the data will tell you if you look, and which are easy to get wrong:
- Compare against the baseline, not against zero. "68 % of directions guessed" means nothing until you know what a random entry at the same moment would have given.
- Win rate is not money. On our own data 68 % correct directions produced a profit factor of 1.04.
- Groups under 30 observations are flagged
reliable=false. That is an absence of a conclusion, not a weak one. - The kimchi premium has two legs — a discount on the asset and a discount on the won. Read together they mislead. And they explain rather than predict: on horizons up to a day we found no relationship (646 episodes).
- Every answer carries the age of its data. If it is stale, say so rather than passing yesterday off as now.
Troubleshooting
401 — the key is missing, revoked, or malformed. Send it as
Authorization: Bearer dpk_live_….
403 scope_required — the key lacks the scope; the response names which one.
400 user_id_not_accepted — the body contained a user_id. The account comes from the
key; the field is rejected explicitly rather than ignored, so that a copied example fails
loudly instead of quietly returning nothing.
404 conversation_not_found — that conversation belongs to another account.
429 — over the per-minute ceiling for your plan. The minute limit protects the service;
the monthly one protects your budget.
CERTIFICATE_VERIFY_FAILED — you are running from source without certifi. Install the
package instead of the file; the dependency exists for exactly this.
Error messages default to English; send X-Lang: ko or ru for those languages.
Links
- daepak.com — the product
- Developer docs — with a live request tester
- GitHub · PyPI
License
MIT
來源:README.md,提交 c093174
工具
0版本歷史
1- v2.1.1最新Sep 16, 2026
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