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📌 2026-08-17 added: ⚖️ Taiwan statute time machine — historical article text · revision history · full-text search · citation graph (935 datasets · 35,454+ rows)

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US SEC company search

us_search_sec_company

TW-specificMIT

**關鍵字 / Keywords**: SEC EDGAR 美股 上市公司 公司搜尋 ticker CIK 代號 10-K 10-Q 8-K XBRL company filing quarterly annual US stocks NYSE NASDAQ Apple Microsoft TSMC

Scope: US public companies filing with the SEC (EDGAR).

Resolve a ticker / company name / CIK to matching SEC filers, then pull
each one's submissions profile (name · SIC · exchange · fiscal year end
· recent filings count).

Endpoints:
    https://www.sec.gov/files/company_tickers.json (ticker resolver, cached 24h)
    https://data.sec.gov/submissions/CIK{cik10}.json (profile per hit)

Args:
    query: ticker ("AAPL"), company name substring ("apple"), or
           CIK ("0000320193" / "320193" / "CIK0000320193"). Ticker
           matches case-insensitive exact; name matches
           case-insensitive substring.
    limit: max hits to return (default 10, hard cap 20).

Returns dict with `results` — each row has `cik`, `ticker`, `name`,
`sic`, `sic_description`, `exchange`, `fiscal_year_end`,
`state_of_incorporation`, `recent_filings_count`. License is
"US Public Domain (17 USC §105)". Rate-limited to 10 req/sec.

Input schema

{
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "us_search_sec_companyArguments",
  "type": "object"
}

How to call

Once your Twinkle Hub MCP client is configured, your agent will see us_search_sec_company. Just ask it to call — example:

# Ask Claude / any MCP client:
請用 us_search_sec_company 處理 "…"。

# It will call:
us_search_sec_company(input="…")

Haven't set up a client yet?

Claude Desktop in 3 minutes — download the .mcpb and double-click, or see docs for other clients.

See user docs