# Meme Token Market Profile (`grasstech/meme-token-market-profile`) Actor

Retrieve a meme token profile with available holder and security data for the supplied token address.

- **URL**: https://apify.com/grasstech/meme-token-market-profile.md
- **Developed by:** [Grass Tech](https://apify.com/grasstech) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.04 / meme token market profile

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

## Meme Token Market Profile

Retrieve meme token overview as JSON using chainIndex, tokenAddress, include. One request per run; suitable for focused data queries and reporting.

### What this Actor does

Prepare a market-data snapshot for research, reporting, or dashboard inputs. This is a single-request data query, not a continuous monitoring service.

Each run executes one request with the supplied parameters and saves the response as JSON.

### Input

| Field | Type | Required | How to use it |
|---|---|---|---|
| `chainIndex` | string | Yes | Supply the chain index as string; keep the field name exactly as shown. |
| `tokenAddress` | string | Yes | Supply the token address as string; keep the field name exactly as shown. |
| `include` | array | Yes | Supply the include as array; keep the field name exactly as shown. |

#### Example input

```json
{
  "chainIndex": "1",
  "tokenAddress": "0x6982508145454ce325ddbe47a25d4ec3d2311933",
  "include": [
    "security",
    "top_holders"
  ]
}
```

This illustrates the field format; data availability depends on the chosen parameters and time.

### Output and limits

A JSON object. Optional data may be absent. The Output tab links to the result saved for that run. Empty data is not a guarantee that a resource does not exist; check the query and returned status.

### Pricing

Meme Token Market Profile: $0.04 per event. The event price shown by Apify is authoritative. A chargeable request is not a promise of a particular record count or outcome. Set a maximum run charge that covers the listed event and any platform usage shown at checkout. No recurring subscription is implied.

### How to run

1. Review the field types and supply the required input.
2. Check the current price and maximum run charge.
3. Start one run, wait for its final status, and open the Output tab.
4. Check the response fields and timestamps before using the data.

### Troubleshooting

If a run fails, retain its Run ID and review its status and log. Verify the input, supported asset/network and requested time range before starting another charged run. Missing records and optional fields depend on data availability.

### Scope and support

This Actor returns a data snapshot; it does not execute trades, move funds, or guarantee future availability. Market data is informational, not a recommendation to invest. For an issue, use the Actor Issues tab and include the Run ID and sanitized input; omit credentials and private keys.

# Actor input Schema

## `chainIndex` (type: `string`):

Request parameter: chainIndex

## `tokenAddress` (type: `string`):

Request parameter: tokenAddress

## `include` (type: `array`):

Request parameter: include

## Actor input object example

```json
{
  "chainIndex": "1",
  "tokenAddress": "0x6982508145454ce325ddbe47a25d4ec3d2311933",
  "include": [
    "security",
    "top_holders"
  ]
}
```

# Actor output Schema

## `result` (type: `string`):

The complete response for this data query.

# 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 = {
    "chainIndex": "1",
    "tokenAddress": "0x6982508145454ce325ddbe47a25d4ec3d2311933",
    "include": [
        "security",
        "top_holders"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("grasstech/meme-token-market-profile").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 = {
    "chainIndex": "1",
    "tokenAddress": "0x6982508145454ce325ddbe47a25d4ec3d2311933",
    "include": [
        "security",
        "top_holders",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("grasstech/meme-token-market-profile").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 '{
  "chainIndex": "1",
  "tokenAddress": "0x6982508145454ce325ddbe47a25d4ec3d2311933",
  "include": [
    "security",
    "top_holders"
  ]
}' |
apify call grasstech/meme-token-market-profile --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grasstech/meme-token-market-profile"
        }
    }
}
```

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/6qbMVJmMmJRFdZwQn/builds/PZtGOeUldMMLtTifu/openapi.json