# AI Charts For Web3 (`ai_charts/ai-charts-for-web3`) Actor

Trading chart web3 visualization

- **URL**: https://apify.com/ai_charts/ai-charts-for-web3.md
- **Developed by:** [ai_charts](https://apify.com/ai_charts) (community)
- **Categories:** AI, Developer tools, SEO tools
- **Stats:** 8 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AI chart

专注于交易相关图表，当前主要涵盖 web3，股票市场（A股/美股）

### 使用场景

#### 1. 自动给文章插入图表，无需传入数据源

当前支持数据源

- Tushare
- CoinMarketCap

#### 2. 直接传入数据绘制图表

- 仪表盘
- K线图
- 饼图
  - 环形饼图

# Actor input Schema

## `content` (type: `string`):

输入的文本内容，用于图表生成参考。

## `embedChartInText` (type: `boolean`):

若选择 true，则生成的图表将嵌入输出文本中。

## `auxiliaryData` (type: `string`):

输入的辅助数据，可以是 JSON 或结构化文本。

## `onlyUseAuxiliaryData` (type: `boolean`):

若选择 true，图表生成仅依赖辅助数据，不使用文本内容。

## `chartTypes` (type: `array`):

选择要生成的图表类型。

## `chartCount` (type: `integer`):

最多生成的图表数量。

## `chartStyle` (type: `string`):

输入图表的样式偏好，可在生成后根据效果进行调整。

## Actor input object example

```json
{
  "content": "当前恐惧与贪婪指数已经来到了80，市场处于极度贪婪状态，投资者情绪高涨，市场风险较大。",
  "embedChartInText": false,
  "onlyUseAuxiliaryData": false,
  "chartTypes": [
    "Auto"
  ],
  "chartCount": 1
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "content": "当前恐惧与贪婪指数已经来到了80，市场处于极度贪婪状态，投资者情绪高涨，市场风险较大。"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ai_charts/ai-charts-for-web3").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "content": "当前恐惧与贪婪指数已经来到了80，市场处于极度贪婪状态，投资者情绪高涨，市场风险较大。" }

# Run the Actor and wait for it to finish
run = client.actor("ai_charts/ai-charts-for-web3").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "content": "当前恐惧与贪婪指数已经来到了80，市场处于极度贪婪状态，投资者情绪高涨，市场风险较大。"
}' |
apify call ai_charts/ai-charts-for-web3 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ai_charts/ai-charts-for-web3"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/H3VE2JFq80HmhKHFK/builds/bZgsbgA72jcudO7B2/openapi.json