# ⚡ Hugging Face Trending AI Models & LLM Radar (`unrivaled_fortress/huggingface-trending-ai-models-radar`) Actor

Extract trending AI models, downloads, likes, architectures, licenses, and authors from Hugging Face in real-time. Built for AI developers, researchers & GPU clusters.

- **URL**: https://apify.com/unrivaled\_fortress/huggingface-trending-ai-models-radar.md
- **Developed by:** [David A](https://apify.com/unrivaled_fortress) (community)
- **Categories:** AI, Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.63 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## ⚡ Hugging Face Trending AI Models & LLM Radar

Extract real-time **trending AI models, LLMs, monthly downloads, community likes, pipeline tasks, and authors** from Hugging Face without API keys or rate limits.

Built for AI engineers, data scientists, machine learning researchers, GPU cloud providers, and venture capital investors.

***

### 🎯 Key Features

- **Official Hugging Face Ecosystem Integration**: Directly queries the Hugging Face model registry with 0-second latency.
- **Task & Architecture Filtering**: Filter by specific AI pipelines (e.g. `text-generation`, `image-to-text`, `sentence-similarity`, `text-to-speech`).
- **Trend & Velocity Ranking**: Sort by real-time `trendingScore` momentum, monthly download counts, or total community likes.
- **Search Query Capability**: Target specific AI model families or labs (e.g. `deepseek`, `qwen`, `llama`, `mistral`, `meta`).
- **Production Clean Output**: Formatted with direct model links, author organizations, and update timestamps.

***

### 💰 Pricing & Store Discounts

| Tier | Price per AI Model Record |
| :--- | :--- |
| **Standard / Free** | **$0.0025** / model |
| **Bronze Subscribers** | **$0.0021** / model (15% OFF) |
| **Silver Subscribers** | **$0.0019** / model (25% OFF) |
| **Gold Subscribers** | **$0.0016** / model (35% OFF) |
| **Platinum Subscribers** | **$0.0014** / model (45% OFF) |
| **Diamond Subscribers** | **$0.0011** / model (55% OFF) |

***

### 📥 Sample Output

```json
{
  "modelId": "deepseek-ai/DeepSeek-V4.1-Flash",
  "author": "deepseek-ai",
  "modelName": "DeepSeek-V4.1-Flash",
  "pipelineTag": "image-text-to-text",
  "downloads": 482100,
  "likes": 3283,
  "trendingScore": 957,
  "lastModified": "2026-09-18T14:20:11.000Z",
  "modelUrl": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash"
}
```

***

### 🛡️ Enterprise Support & Dataset Customization

Need continuous streaming webhooks to monitor new model releases? Contact engineering support at `support@unrivaled-fortress.internal`.

# Actor input Schema

## `pipelineTag` (type: `string`):

Filter by AI task (e.g. 'text-generation', 'image-to-text', 'text-to-audio', 'sentence-similarity', 'feature-extraction'). Leave empty for all models.

## `sortBy` (type: `string`):

Metric to rank models by.

## `searchQuery` (type: `string`):

Search keyword or author name (e.g. 'deepseek', 'qwen', 'llama', 'mistral').

## `maxResults` (type: `integer`):

Maximum number of AI models to extract.

## Actor input object example

```json
{
  "sortBy": "trendingScore",
  "maxResults": 30
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("unrivaled_fortress/huggingface-trending-ai-models-radar").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("unrivaled_fortress/huggingface-trending-ai-models-radar").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 '{}' |
apify call unrivaled_fortress/huggingface-trending-ai-models-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unrivaled_fortress/huggingface-trending-ai-models-radar"
        }
    }
}
```

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/zXNA8gd4BunYioaIA/builds/dhteOON37ty1KL9m8/openapi.json