DATASET · social

社交关注与情绪快照

social.attention_snapshot

社交与舆情

按平台、实体、证券和时间桶聚合讨论量与情绪，展示跨平台社交关注的短周期变化。

下载本类 JSON 下载完整 JSON.gz 先获取 Key

字段29

关键字段4

更新口径intraday

时间列bucket_ts

单页上限5000

分页窄筛选

PIT不支持

规模0

WHAT IT ANSWERS

这张表适合回答什么

发现讨论量突然放大
比较平台情绪差异
联接价格研究社交冲击

GRAIN & TIME

一行代表什么

业务粒度: 每行代表“社交关注与情绪快照”的一条记录；逻辑粒度由 platform × entity_id × symbol × bucket_ts 共同确定。
时间口径: 以 bucket_ts 为主要查询时间轴；除下方限制特别说明外，时间戳按 UTC、日期按来源市场日历解释。
更新节奏: 交易时段内可多次更新；请检查时间列判断新鲜度。

KEY FIELDS

先看这些字段

platform: 用于确定该表业务粒度或默认顺序的 platform 字段。
entity_id: 用于识别 entity 的业务标识。
symbol: 证券或交易对的展示代码。
bucket_ts: 聚合时间桶的起始或代表时点。

RECOMMENDED JOINS

怎样和其他表关联

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

查询方法与已知限制

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，该表不提供稳定 cursor，结果过大时必须缩小标的、日期或其他筛选。

字典采样时该关系可能为空；先查询 catalog 或小范围 rows 判断当前是否已有数据。

MACHINE CONTRACT

筛选、排序与分页

UNVERSIONED

默认排序: bucket_ts, platform, entity_id, symbol
唯一键: —
读取模式: canonical_final_active
最大时间窗: 未单独限制

可用 filters

entity_id→ entity_id · string

market→ market · string

platform→ platform · string

source→ source · string

symbol→ symbol · string

POINT IN TIME

可复现读取

NOT AVAILABLE

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

怎么调用

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。

READ ONLY

HTTP

curl --fail-with-body -H "Authorization: Bearer $FRIENDS_DATA_API_KEY" "https://api.alphahubs.uk/api/v1/data/datasets/social/attention_snapshot/rows?limit=100&market=US&start=2026-08-01&end=2026-08-01"

PYTHON SDK

from friends_data_api import FriendsDataClient, Settings

async with FriendsDataClient(Settings.from_env()) as client:
    page = await client.get_dataset_rows('social', 'attention_snapshot', limit=100, start='2026-08-01', end='2026-08-01', filters={'market': 'US'})
    print(page.data)
    if page.has_more:
        print("next cursor:", page.next_cursor)

CLI

friends-data get-dataset-rows social attention_snapshot --limit 100 --start 2026-08-01 --end 2026-08-01 --filter market=US

MCP TOOL CALL

{
  "arguments": {
    "dataset": "attention_snapshot",
    "end": "2026-08-01",
    "filters": {
      "market": "US"
    },
    "limit": 100,
    "namespace": "social",
    "start": "2026-08-01"
  },
  "tool": "get_dataset_rows"
}

FIELD DICTIONARY

29 个返回字段

descriptionSource 可在 JSON 中区分仓库注释、标准术语表和名称推导说明。

筛选字段

#	字段	ClickHouse 类型	JSON	可空	角色	说明
1	`bucket_ts`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	time, default_order, warehouse_primary_key	UTC timestamp for bucket ts.名称推导
2	`bucket_minutes`	`UInt16`	`integer`	no	value	Source-normalized field: bucket minutes.名称推导
3	`platform`	`LowCardinality(String)`	`string`	no	filter, default_order, warehouse_primary_key	Source-normalized field: platform.名称推导
4	`entity_id`	`String`	`string`	no	filter, default_order, warehouse_primary_key	Identifier for entity.名称推导
5	`symbol`	`String`	`string`	no	filter, default_order, warehouse_primary_key	Display or trading symbol for the instrument.标准术语表
6	`market`	`LowCardinality(String)`	`string`	no	filter, warehouse_primary_key	Canonical market or country-market code.标准术语表
7	`instrument_id`	`Nullable(UInt64)`	`integer`	yes	value	WarrenHub canonical instrument identifier; use it for cross-dataset joins.标准术语表
8	`post_count`	`UInt32`	`integer`	no	value	Count of post count.名称推导
9	`unique_authors`	`UInt32`	`integer`	no	value	Source-normalized field: unique authors.名称推导
10	`engagement_score`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: engagement score.名称推导
11	`sentiment`	`Nullable(Float64)`	`number`	yes	value	Source-normalized field: sentiment.名称推导
12	`bullish_count`	`UInt32`	`integer`	no	value	Count of bullish count.名称推导
13	`bearish_count`	`UInt32`	`integer`	no	value	Count of bearish count.名称推导
14	`top_terms`	`String`	`string`	no	value	Source-normalized field: top terms.名称推导
15	`sample_refs`	`String`	`string`	no	value	Source-normalized field: sample refs.名称推导
16	`source`	`LowCardinality(String)`	`string`	no	filter, provenance	Normalized upstream source identifier.标准术语表
17	`provider`	`LowCardinality(String)`	`string`	no	provenance	Upstream data provider identifier.标准术语表
18	`source_url`	`String`	`string`	no	provenance	URL of the upstream evidence or record when distributable.标准术语表
19	`source_record_id`	`String`	`string`	no	provenance	Provider-side identifier for the source record.标准术语表
20	`raw_payload_hash`	`String`	`string`	no	provenance	Opaque fingerprint of the normalized source payload for provenance checks.标准术语表
21	`parser_version`	`LowCardinality(String)`	`string`	no	provenance	Version of the parser or normalizer that produced the row.标准术语表
22	`quality_status`	`LowCardinality(String)`	`string`	no	provenance	Machine-readable data-quality classification.标准术语表
23	`license_scope`	`LowCardinality(String)`	`string`	no	provenance	License or redistribution scope attached to the row.标准术语表
24	`visibility_tier`	`LowCardinality(String)`	`string`	no	provenance	Serving visibility tier attached to the row.标准术语表
25	`ingest_run_id`	`String`	`string`	no	provenance	Identifier of the ingestion run that produced the row.标准术语表
26	`version`	`UInt64`	`integer`	no	provenance	Monotonic row version used for correction-aware reads.标准术语表
27	`is_deleted`	`UInt8`	`integer`	no	value	Soft-delete marker; public serving excludes current tombstones.标准术语表
28	`created_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	value	UTC timestamp when the warehouse row was first created.标准术语表
29	`updated_at`UTC_datetime	`DateTime64(3, 'UTC')`	`string / date-time`	no	value	UTC timestamp when the warehouse row was last updated.标准术语表

字典口径

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。