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

Pro endpoint · Pro

# 批量资金流（多股一次取） API
 ⭐ 一次拿多只股票的资金流（主力资金 + 龙虎榜 + 大宗 + 融资融券），每只一条记录。给量化/批量研究用 —— 一次扫一个行业或自选池，不必一只一只调 `/v1/fund`。

用法：`codes` 用逗号分隔，如 `?codes=sh600519,sz000001,sz300750`。

返回：`data` 是数组，每项含 `code` / `ok` / `data`（或 `error`）—— 逐只标明成功与否；同时给出 `requested` / `returned` / `failed` 计数。

上限：专业版单次最多 200 只（约一个行业），不限量版 1000 只。计费按实际返回只数（失败的不计）。

⚠️ 标的范围：资金流数据仅覆盖 A 股（`sh`/`sz`/`bj`）；港股仅主力净流入一项，美股无资金流数据（该只会标 `ok:false`）。
 Pro `GET /v1/fund-batch`
 Signature
```
GET /v1/fund-batch?codes=
```
 One-liner

```
curl "https://api.ashareapi.com/v1/fund-batch?codes=&key=YOUR_KEY"
```
 Parameters: `codes *` * = 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/fund-batch?codes="

# 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/fund-batch?codes=&key=YOUR_KEY"
```
 Python

```
import requests

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

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

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

| | codes | string | Yes | 多个股票代码，逗号分隔：sh600519,sz000001,sz300750

 `codes` string Yes
 多个股票代码，逗号分隔：sh600519,sz000001,sz300750

 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 35 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)