WHAT IT ANSWERS
这张表适合回答什么
- 解析证券与来源标识映射
- 为跨表查询补充分类和主数据
DATASET · ref
ref.cusip_instrument_mapping
这是证券主数据、交易日历与跨来源映射中的“CUSIP 与证券映射”数据集;一行由 cusip、mapping_status、ticker、market 定位,主要字段包括 exchange、figi、composite_figi、share_class_figi、security_name。
observed_atWHAT IT ANSWERS
GRAIN & TIME
KEY FIELDS
cusipinstrument_idmapping_statustickermarketfigiRECOMMENDED JOINS
ref.instrumenton instrument_id用 instrument_id 补充证券代码、名称、市场、交易所和资产类型。
HOW TO QUERY SAFELY
先用 catalog 确认当前契约;可按 catalog 中列出的 filters 进一步缩小范围;单页最多 5000 行,响应有 has_more 时原样传回 next_cursor 继续分页。
MACHINE CONTRACT
cusip, mapping_status, ticker, market, figi, sourcecusip, mapping_status, ticker, market, figi, sourcecanonical_final_activeexchange→ exchange · stringinstrument_id→ instrument_id · integermarket→ market · stringprovider→ provider · stringsource→ source · stringticker→ ticker · stringPOINT IN TIME
该资产没有 PIT 契约。普通 rows 端点仍按当前公开读模式返回数据;不要把它表述成历史时点快照。
COPY-READY CALLS
同一数据集可用 HTTP、Python SDK、CLI 或 MCP;Key 始终只通过环境变量/Bearer Header 传递。
curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/ref/cusip_instrument_mapping/rows?limit=100&exchange=NASDAQ"from friends_data_api import FriendsDataClient, Settings
async with FriendsDataClient(Settings.from_env()) as client:
page = await client.get_dataset_rows('ref', 'cusip_instrument_mapping', limit=100, filters={'exchange': 'NASDAQ'})
print(page.data)
if page.has_more:
print("next cursor:", page.next_cursor)friends-data get-dataset-rows ref cusip_instrument_mapping --limit 100 --filter exchange=NASDAQ{
"arguments": {
"dataset": "cusip_instrument_mapping",
"filters": {
"exchange": "NASDAQ"
},
"limit": 100,
"namespace": "ref"
},
"tool": "get_dataset_rows"
}FIELD DICTIONARY
descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。
| # | 字段 | ClickHouse 类型 | JSON | 可空 | 角色 | 说明 |
|---|---|---|---|---|---|---|
| 1 | cusip | String | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: cusip.名称推导 |
| 2 | ticker | String | string | no | filter, default_order, warehouse_primary_key, contract_unique_key | Ticker symbol reported by the source or mapped security master.标准术语表 |
| 3 | market | LowCardinality(String) | string | no | filter, default_order, warehouse_primary_key, contract_unique_key | Canonical market or country-market code.标准术语表 |
| 4 | exchange | LowCardinality(String) | string | no | filter | Listing or trading exchange.标准术语表 |
| 5 | figi | String | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: figi.名称推导 |
| 6 | composite_figi | String | string | no | value | Source-normalized field: composite figi.名称推导 |
| 7 | share_class_figi | String | string | no | value | Source-normalized field: share class figi.名称推导 |
| 8 | security_name | String | string | no | value | Source-normalized field: security name.名称推导 |
| 9 | security_type | LowCardinality(String) | string | no | value | Source-normalized field: security type.名称推导 |
| 10 | market_sector | LowCardinality(String) | string | no | value | Source-normalized field: market sector.名称推导 |
| 11 | instrument_id | Nullable(UInt64) | integer | yes | filter | WarrenHub canonical instrument identifier; use it for cross-dataset joins.标准术语表 |
| 12 | mapping_status | LowCardinality(String) | string | no | default_order, warehouse_primary_key, contract_unique_key | Source-normalized field: mapping status.名称推导 |
| 13 | confidence | Float64 | number | no | value | Source-normalized field: confidence.名称推导 |
| 14 | evidence_json | String | string | no | value | Source-normalized field: evidence json.名称推导 |
| 15 | issuer_name | String | string | no | value | Source-normalized field: issuer name.名称推导 |
| 16 | latest_report_datedate | Nullable(Date) | string / date | yes | value | Calendar date for latest report date (YYYY-MM-DD).名称推导 |
| 17 | holding_row_count | UInt64 | integer | no | value | Count of holding row count.名称推导 |
| 18 | holding_value_usd_sum | Nullable(Float64) | number | yes | value | Source-normalized field: holding value usd sum.名称推导 |
| 19 | observed_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | time | UTC timestamp for observed at.名称推导 |
| 20 | source | LowCardinality(String) | string | no | filter, default_order, warehouse_primary_key, contract_unique_key, provenance | Normalized upstream source identifier.标准术语表 |
| 21 | provider | LowCardinality(String) | string | no | filter, provenance | Upstream data provider identifier.标准术语表 |
| 22 | source_url | String | string | no | provenance | URL of the upstream evidence or record when distributable.标准术语表 |
| 23 | source_record_id | String | string | no | provenance | Provider-side identifier for the source record.标准术语表 |
| 24 | raw_payload_hash | String | string | no | provenance | Opaque fingerprint of the normalized source payload for provenance checks.标准术语表 |
| 25 | parser_version | LowCardinality(String) | string | no | provenance | Version of the parser or normalizer that produced the row.标准术语表 |
| 26 | quality_status | LowCardinality(String) | string | no | provenance | Machine-readable data-quality classification.标准术语表 |
| 27 | license_scope | LowCardinality(String) | string | no | provenance | License or redistribution scope attached to the row.标准术语表 |
| 28 | visibility_tier | LowCardinality(String) | string | no | provenance | Serving visibility tier attached to the row.标准术语表 |
| 29 | ingest_run_id | String | string | no | provenance | Identifier of the ingestion run that produced the row.标准术语表 |
| 30 | version | UInt64 | integer | no | provenance | Monotonic row version used for correction-aware reads.标准术语表 |
| 31 | is_deleted | UInt8 | integer | no | value | Soft-delete marker; public serving excludes current tombstones.标准术语表 |
| 32 | created_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | value | UTC timestamp when the warehouse row was first created.标准术语表 |
| 33 | updated_atUTC_datetime | DateTime64(3, 'UTC') | string / date-time | no | value | UTC timestamp when the warehouse row was last updated.标准术语表 |
换一个字段名、类型或角色。
结构来自 Friends 只读身份可见的真实 serving relation;权限、过滤、排序、PIT 与分页来自可执行 DatasetSpec。Schema observed at 2026-10-06T18:08:52Z。