# Token Health Scan: Crypto Token Risk Score (`gmangabeira2/token-health-scan`) Actor

Score any token on Ethereum, Base, BNB Chain, Arbitrum, Polygon or Solana from 0 to 100 across security, liquidity, tokenomics, community and development, with the evidence behind every point. Pay only for scored scans.

- **URL**: https://apify.com/gmangabeira2/token-health-scan.md
- **Developed by:** [Gabriel Mangabeira](https://apify.com/gmangabeira2) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 scored tokens

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

### What does Token Health Scan do?

Token Health Scan scores a crypto token from 0 to 100 and shows the evidence behind every point. Give it a chain and a contract address. It returns one overall health score and five dimension scores: **security, liquidity, tokenomics, community and development**.

It works on **Ethereum, Base, BNB Chain, Arbitrum, Polygon and Solana**.

The same scan is sold to AI agents over x402 at [tokenhealthscan.com/agent-payments](https://tokenhealthscan.com/agent-payments). Every payment there is a public on-chain transaction, so you can check the track record before you buy.

### Why use it?

- **Screen tokens before you touch them.** Trading agents and bots can gate entries on a minimum score, for example security 50 or higher and liquidity 40 or higher.
- **See why, not only how much.** Each dimension lists the inputs it used (value, points earned, max points) and the inputs it left out, with the reason.
- **Pay only for a verdict.** If a token lacks enough verified data for a score, you get the partial result and are not charged.

### What you get

| Field | Example |
|---|---|
| `symbol`, `name` | AERO, Aerodrome Finance |
| `overall_score` | 64 |
| `verdict` | Moderate risk token (64/100). Weakest dimension: tokenomics at 40/100. |
| `scores` | `{"security":80,"liquidity":85,"tokenomics":40,"community":72,"development":41}` |
| `evidence` | Per dimension: inputs used with value, points and max, plus inputs excluded with the reason |
| `charged` | `true` only for scored tokens |

What each dimension checks:

| Dimension | Inputs |
|---|---|
| Security | Honeypot, mint authority, blacklist, pausable, max tax, upgradeable proxy. On Solana: freeze authority, permanent delegate, transfer hook |
| Liquidity | DEX liquidity, 24h volume, slippage on a $100k trade, locked liquidity |
| Tokenomics | Top 10 holder share, circulating ratio, unlocks in the next 90 days |
| Community | Sentiment, Telegram and Discord members, social trend |
| Development | Commits in 30 days, contributors, last push, issue close ratio, stars, forks |

### How to use it

1. Add tokens as `chain:address`, one per line:
   - `base:0x940181a94a35a4569e4529a3cdfb74e38fd98631`
   - `solana:JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN`
2. Leave **Include evidence** on for the full breakdown, or turn it off for scores only.
3. Run. Results land in the dataset, one row per token.

Up to 100 tokens per run. A scan takes 5 to 20 seconds, and three run in parallel.

From an AI agent, call it through the [Apify MCP server](https://mcp.apify.com) or the Apify API like any other Actor.

### Pricing

**$0.02 per scored token.** Tokens that are not scored, have an invalid address, or fail to scan are free. Set a maximum charge per run and the Actor stops when it is reached.

### Input example

```json
{
  "tokens": ["base:0x940181a94a35a4569e4529a3cdfb74e38fd98631"],
  "includeEvidence": true
}
```

### Output statuses

| `status` | Meaning | Charged |
|---|---|---|
| `scored` | Full score and verdict | Yes |
| `not_scored` | Not enough verified data for a verdict | No |
| `invalid_input` | Unsupported chain or malformed address | No |
| `failed` | Scan error after one retry | No |

### Is this financial advice?

No. The score measures on-chain and off-chain signals at scan time. It does not predict price.

### Open source

The scanner, the x402 payment server and this Actor are MIT licensed: [github.com/gogrowth-co/token-health-radar](https://github.com/gogrowth-co/token-health-radar). Built by Gabriel Mangabeira ([mangabeira.net](https://mangabeira.net)).

# Actor input Schema

## `tokens` (type: `array`):

One token per line as chain:address. Chains: ethereum, base, bsc, arbitrum, polygon, solana. Example: base:0x940181a94a35a4569e4529a3cdfb74e38fd98631

## `includeEvidence` (type: `boolean`):

Add the inputs behind every dimension score (value, points, max) and the inputs left out with the reason.

## Actor input object example

```json
{
  "tokens": [
    "base:0x940181a94a35a4569e4529a3cdfb74e38fd98631",
    "solana:JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"
  ],
  "includeEvidence": true
}
```

# Actor output Schema

## `scores` (type: `string`):

One row per token: status, score, verdict, dimension scores and whether it was charged.

## `results` (type: `string`):

Every field, including the evidence behind each dimension score.

# 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 = {
    "tokens": [
        "base:0x940181a94a35a4569e4529a3cdfb74e38fd98631",
        "solana:JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("gmangabeira2/token-health-scan").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 = { "tokens": [
        "base:0x940181a94a35a4569e4529a3cdfb74e38fd98631",
        "solana:JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("gmangabeira2/token-health-scan").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 '{
  "tokens": [
    "base:0x940181a94a35a4569e4529a3cdfb74e38fd98631",
    "solana:JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN"
  ]
}' |
apify call gmangabeira2/token-health-scan --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gmangabeira2/token-health-scan"
        }
    }
}
```

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/3bfST5ajctGeffT1B/builds/zamN05zYWIeBoFMvP/openapi.json