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

Pro endpoint · Pro

# L2 大单委托流（挂单 + 撤单标记 · 不限量版专属） API
 大单挂单明细：当日委托量或委托金额超过阈值的挂单，逐笔列出，并带涨停标记与撤单标记。

data 行字段：time（委托时间）/ order_id（委托序号）/ price / volume（手）/ amount（元）/ side（1 买 · 2 卖）/ side_cn / is_limit_up（1 = 涨停价挂单）/ is_cancel（1 = 已撤单）。
顶层 meta：vol_threshold（手）/ tur_threshold（万元）/ total 当日总笔数 / returned / truncated。

⭐ 它解决什么：看封单是真的还是演的 —— 大额买单挂上去又撤（is_cancel=1），就是典型的假封单；配合 bigorder-flow（已成交流向）能分清「挂了没成」和「真买了」。
⚠️ 仅当日；单次最多约 200 笔。
⚠️ 这是委托口径（挂单），不是成交，也不是十档盘口。
 Pro `GET /v1/bigorder-queue`
 Signature
```
GET /v1/bigorder-queue?code=sh600667&vol=500
```
 One-liner

```
curl "https://api.ashareapi.com/v1/bigorder-queue?code=sh600667&vol=500&key=YOUR_KEY"
```
 Parameters: `code * · vol · tur · 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/bigorder-queue?code=sh600667&vol=500"

# 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/bigorder-queue?code=sh600667&vol=500&key=YOUR_KEY"
```
 Python

```
import requests

r = requests.get(
 "https://api.ashareapi.com/v1/bigorder-queue",
 headers={"Authorization": "Bearer YOUR_KEY"},
 params={"code": "sh600667"},
 timeout=30,
)
print(r.json())
```
 JavaScript

```
const r = await fetch("https://api.ashareapi.com/v1/bigorder-queue?code=sh600667&vol=500", {
 headers: { Authorization: "Bearer YOUR_KEY" },
});
console.log(await r.json());
```

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

| | code | string | Yes | Stock code with market prefix: sh600667 (SH), sz000001 (SZ), hk00700 (HK), usAAPL (US)

| | vol | integer | No | 委托量阈值（手）：500/1000/2000/5000/10000

| | tur | integer | No | 委托金额阈值（万元）：30/50/100/200/500/1000

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

 `code` string Yes
 Stock code with market prefix: sh600667 (SH), sz000001 (SZ), hk00700 (HK), usAAPL (US)

 `vol` integer
 委托量阈值（手）：500/1000/2000/5000/10000

 `tur` integer
 委托金额阈值（万元）：30/50/100/200/500/1000

 `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 39 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)