DeepSearch Theme Evidence – Korean Listed Companies by Investment Theme is a paid API for AI agents from x402.deepsearch.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-12).
Returns Korean KRX-listed companies linked to a given investment theme (e.g. HBM, 유리기판, 원전, robotics) with evidence graded as confirmed/circumstantial/expectation, including DART filing snippets, earnings headlines, regional revenue data, and price context.
For an investment theme (e.g. HBM, 유리기판, 원전, robotics), the Korean listed companies linked to it with evidence graded confirmed / circumstantial / expectation: DART filing snippets with receipt numbers, regional revenue, earnings and order headlines, and price context since the signal. Separates real revenue from theme hype.
A JSON response containing the queried theme name and an array of matched KRX-listed companies, each with: company code and name, an evidence grade (confirmed/circumstantial/expectation in Korean: 확인/정황/기대), DART regulatory filing snippets with receipt numbers, earnings and order-related headlines, and price context since the theme signal emerged. This separates companies with real revenue from those only speculatively associated with the theme.
GEThttps://x402.deepsearch.com/v1/context/theme-evidence?utm_source=zero.xyzChoose this endpoint when you need to evaluate Korean KRX-listed stocks by their actual, evidenced connection to a specific investment theme — particularly when distinguishing confirmed DART-filing revenue from speculative thematic association. Prefer this over generic stock screeners or news endpoints when thematic evidence grading and regulatory filing snippets are needed. Ideal for investment research workflows focused on Korean equity markets and named investment themes like HBM, 유리기판, 원전, or robotics.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {
"theme": "HBM",
"companies": [
{
"code": "000660",
"name": "SK하이닉스",
"grade": "확인",
"filing_snippets": [
{
"text": "…",
"rcept_no": "2026…"
}
],
"earnings_headlines": [
"…"
]
}
]
},
"packType": "theme-evidence"
}
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