> Source: https://ashareapi.com/en/docs/endpoints/abnormal/  ·  Markdown version for LLMs / AI agents

Pro endpoint · Pro

# 异动 / 偏离值（监管异动体系） API
 短线监管异动 / 偏离值：触发「严重异动」、「10日100% 偏离」、异动盯盘名单、严重异动提醒。这是短线风控的关键信号（个股因连续大涨/大跌被交易所或数据方标记异动）。

`mode` 取值：
· `deviation` 偏离值热门榜（今日实时）—— 触发偏离阈值的个股，含 `reason` 规则 / `pct` 涨幅 / `turnover` 换手 / `board_desc` 连板 / `concepts` 概念 / `window` 窗口
· `deviation_hist` 偏离值热门榜（历史）—— 需 `date`（YYYY-MM-DD，真实交易日）
· `deviation_plan` 偏离值（今日 + 明日两组）—— 返回行数组，每行含 `group`（`today`/`tomorrow`）区分
· `abnormal` 异动频率（含异动原因）—— 需 `date`；⭐ 每日全量（常见 500+ 条），含 `reason` 规则 / `status` 异动状态 / `abn_start` 异动起始日；顶层附 `total` 当日总条数
· `watch` 异动盯盘名单（今日）—— 监控中的个股 + `watch_start`/`watch_end`
· `watch_hist` 异动盯盘名单（历史）—— 需 `date`
· `alert` 严重异动提醒（今日）—— ⭐ 短线重点：`reason` 为人读提醒原因（如「10日内3次异动个股」「10日内偏离值临近100%」）+ `price` 现价

字段口径（各 mode 按需返回下列子集）：
`code` 代码 · `name` 名称 · `reason` 触发/提醒原因 · `pct` 涨跌幅% · `board_desc` 连板描述 · `concepts` 概念（顿号分隔）· `turnover` 换手%（偏离榜）· `window` 偏离窗口（如 `10日`）· `rule2` 第二条规则 · `trigger_pct` 触发严重异动阈值% · `limit_price` 参考价 · `status` 异动状态（如「未触发异动」）· `date` 数据日期 · `price` 现价 · `abn_start` 异动起始日（未触发为 `0000-00-00`）· `group` 分组（仅 plan）· `watch_start`/`watch_end` 监控起止（仅 watch）。

⚠️ 历史类 mode（`deviation_hist`/`abnormal`/`watch_hist`）的 `date` 须为真实交易日（非交易日返回空）；缺省用今天。
⚠️ `abnormal` 默认返回当日全量（`limit` 可调，默认 600，足以覆盖）。
⚠️ `data` 恒为行数组（可直接落 DataFrame）；`abnormal` 的当日总条数在顶层 `total`。
 Pro `GET /v1/abnormal`
 Signature
```
GET /v1/abnormal?mode=list
```
 One-liner

```
curl "https://api.ashareapi.com/v1/abnormal?mode=list&key=YOUR_KEY"
```
 Parameters: `mode · date · limit` * = required

## Quick start
 Replace the key below with yours (free endpoints need no key):
 curl

```
# 推荐：Authorization 头（密钥不进日志）
curl -H "Authorization: Bearer YOUR_KEY" \
 "https://api.ashareapi.com/v1/abnormal?mode=list"

# 快速测试：直接浏览器打开（?key= 会留在日志/历史里，别用于生产）
curl "https://api.ashareapi.com/v1/abnormal?mode=list&key=YOUR_KEY"
```
 Python

```
import requests

r = requests.get(
 "https://api.ashareapi.com/v1/abnormal",
 headers={"Authorization": "Bearer YOUR_KEY"},
 params={},
 timeout=30,
)
print(r.json())
```
 JavaScript

```
const r = await fetch("https://api.ashareapi.com/v1/abnormal?mode=list", {
 headers: { Authorization: "Bearer YOUR_KEY" },
});
console.log(await r.json());
```

## Parameters
 |
| | Parameter | Type | Required | Description

| | mode | string | No | list or detail

| | date | string | No | Date YYYY-MM-DD (blank = latest trading day)

| | limit | integer | No | Number of rows, default 30

 `mode` string
 list or detail

 `date` string
 Date YYYY-MM-DD (blank = latest trading day)

 `limit` integer
 Number of rows, default 30

 Response
 Unified envelope: `{ ok, endpoint, tier, elapsed_ms, source, data }`
 Rows live in `data`; when upstream returns nothing you get `ok:false` and **the call is not counted**.

 Rate limits & quota
 Free endpoints need no key (anonymous 5/min — 250 bars per request, 100k rows per day; solve one PoW challenge for 15/min). Paid tiers: Trial 30 · Standard 120 · Pro 300 · Unlimited 600 per minute; buyout packs are capped by total calls and never expire.
[See the error code table →](/en/docs/errors)

## FAQ

### General (applies to every endpoint)
 Do these endpoints need an API key?
 **Free endpoints do not**: health, challenge, quote, kline, hot, market-overview and changedist work anonymously. **Paid endpoints do**: send `Authorization: Bearer `. ⚠️ The anonymous allowance is **tiered by caller type**: browsers (humans) get **5/min**; scripts, SDKs and AI Agents (curl, requests, axios, openai user-agent strings) get **2/min** — automated traffic is easier to abuse. Solving one PoW challenge (`GET /v1/challenge`, then send the `X-PoW` header) raises it to **15/min** regardless of type. ⚠️ Also, anonymous calls are capped at **250 bars per request and 100k rows per day** — use an API key for the full 1212 bars or unlimited daily volume.

 Am I charged when the upstream returns nothing or errors?
 **No.** When the upstream fails or returns nothing you get `ok:false` and the charge for that call is **refunded** (total_calls / usage_log / ep_log are rolled back together). Only calls that actually returned data count.

 How fresh is the data?
 Quotes (quote / kline / orderbook / changedist) are **real-time or current session**; financials, shareholders, dividends and events are **within T+1 of upstream disclosure**. The `source` field in every response tells you which data channel actually served it.

 Can I request several stocks in one call?
 **No.** `code` is a single-value parameter — one stock per call. For batches, issue concurrent calls and respect your tier per-minute limit.

 How do I use this from Claude / Cursor / ChatGPT?
 Set up MCP once, then just ask the AI — it calls the endpoint itself. MCP exposes 36 tools covering quotes, financials, screening, sectors and macro.

## Related endpoints
 [Full-history K-line (10y daily · raw + adjustment factors)](/en/docs/endpoints/kline-full)[Whole-market single-day K-line (all A-shares, 5,000+ in one call)](/en/docs/endpoints/market-kline)[Quant backtest (single-stock live / portfolio precomputed)](/en/docs/endpoints/backtest)[Quant strategy list (20 single-stock + 9 portfolio, with measured performance)](/en/docs/endpoints/strategies)[IP allow-list (lock a key to fixed IPs)](/en/docs/endpoints/ip-whitelist)[Batch backtest (many stocks × many strategies)](/en/docs/endpoints/backtest-batch)[Quant factor library (88 factors + 22 presets)](/en/docs/endpoints/factors)[Quant playbook library (how to judge the market · 25 playbooks)](/en/docs/endpoints/playbooks)

 Use it from an AI Agent?
 Set up MCP once, then just ask the AI — it calls the endpoint itself.

 [MCP setup](/en/mcp)[Pricing](/en/pricing)

 [← Back to the full endpoint reference](/en/endpoints)