출력
기대 결과
- public call
- representative return shape
- verification result
엔진 역할
scan engine application skill for 계정: 전종목 단일 계정 시계열 (매출액, 영업이익 등).
공개 호출 방식
import dartlab
result = dartlab.scan("account") 호출 동작
Reads DART+EDGAR universe prebuilt/provider data and computes candidates or rankings. Primitive axes may require a target argument, so check the guide example first.
대표 반환 형태
Returns a DataFrame. Core fields are stockCode/ticker, corpName/name, market/universe, latestAsOf/asOf, metric/value/score, rank, source/basis, and flags.
기본 실행 순서
- target, period, and source data are fixed first.
- Run the public call exactly as documented.
- Check latestAsOf/date, missing values, flags, and assumptions.
- Bind numeric claims to tableRef/valueRef/dateRef/executionRef.
- Hand off multi-axis narrative composition to story or the parent report skill.
기본 검증
This skill is a public execution document. If this axis call, representative return keys, error behavior, or runtime limits change, update this file in the same change.
런타임
실행 환경별 호환성
| 환경 | 상태 | 비고 / 제한 |
|---|---|---|
| Local Python | supported | — |
| Server | supported | — |
| MCP | supported | — |
| Web AI | supported | — |
| Pyodide | limited | — |
실패 회피
흔한 실패 · 절대 금지
절대 금지
- Do not list candidates without universe and datasetAsOf.
- Do not answer with company names only; include a ranking/evidence table.
- Do not present screening output as deep analysis.