Early access — now onboarding first users

Korean market data,
finally structured.

SuperRich turns DART filings and public market data into clean, normalized, analysis-ready datasets — so you spend time on research, not on parsing PDFs.

GET /v1/filings/financials
# Sample response (illustrative schema)
{
  "corp_code": "00000000",
  "stock_code": "000000",
  "corp_name": "Sample Corp.",
  "fiscal_period": "2026Q2",
  "statement": "consolidated",
  "items": [
    { "account": "revenue",
      "value": 0, "unit": "KRW" },
    { "account": "operating_income",
      "value": 0, "unit": "KRW" }
  ],
  "source": {
    "type": "DART",
    "rcept_no": "00000000000000",
    "page": 0
  },
  "validated": true
}
Datasets

Everything you need, one consistent schema.

Every record is normalized to stable identifiers and keeps a link back to its original source document.

Financial statements

Income statement, balance sheet and cash flow, normalized across reporting formats and periods.

Quarterly · Annual

Footnotes & details

Structured fields extracted from footnotes and tables that standard feeds leave out.

AI-assisted extraction

Corporate events

Capital changes, M&A, dividends and other material disclosures as typed, queryable events.

Daily updates

Market data

Company master data and public market indicators, joined to filings by stable keys.

KOSPI · KOSDAQ
How it works

From raw disclosure to trusted dataset.

A pipeline built for the messy reality of Korean financial documents.

Collect

Automated pipelines track new DART filings and public market data as they are published.

Extract

Large language models read long, table-heavy Korean documents and pull out structured fields that rule-based parsers miss.

Validate

Extracted values are cross-checked against other sources and accounting identities before they ship.

Built for builders

Data you can trust — and trace.

  • Source-linked recordsEvery value points back to the original filing and page.
  • Stable identifiersCorporate codes and tickers mapped consistently over time.
  • Analysis-ready formatsJSON API, CSV and Parquet exports.
  • Korean-nativeDesigned around Korean accounting and disclosure conventions.
python
import requests

r = requests.get(
    "https://api.superrich.app/v1/events",
    params={"type": "dividend", "since": "2026-01-01"},
    headers={"Authorization": "Bearer YOUR_KEY"},
)
for e in r.json()["data"]:
    print(e["corp_name"], e["amount_per_share"])

# API available to early-access users
Use cases

Who it's for.

Anyone who needs Korean company data without building a parsing team first.

Quant researchers

Point-in-time fundamentals and events for backtests and factor research.

Analysts

Footnote-level detail without reading hundreds of pages per company.

Fintech builders

A clean data layer to power dashboards, screeners and alerts.

Get early access.

We're onboarding a small number of early users. Tell us what data you need.

hello@superrich.app →