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Hugging Face Trending Models, Datasets & AI Papers Radar

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Hugging Face Trending Models, Datasets & AI Papers Radar

Hugging Face Trending Models, Datasets & AI Papers Radar

Extract trending AI models, top datasets, daily research papers, author metrics, download velocity, and Hugging Face tags without API keys. MCP ready.

Pricing

Pay per usage

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Developer

Rahmad Rizki

Rahmad Rizki

Maintained by Community

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2

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1

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2 days ago

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Extract real-time trending AI models, high-velocity datasets, daily research papers, download metrics, and licensing metadata directly from Hugging Face without requiring API tokens or authentication keys.

Built natively for AI Agents (Model Context Protocol / MCP), machine learning researchers, tech venture scouts, developers, and AI content curators.


🚀 Key Capabilities

  • 🔥 Trending AI Models: Monitor breakout open-source models across Transformers, LLMs, Vision, Audio, Multimodal, and Diffusion.
  • 📦 Datasets Discovery: Uncover trending pre-training corpora, instruction-tuning datasets, and evaluation benchmarks.
  • 📄 Daily AI Research Papers: Track breakthrough papers submitted to ArXiv with community upvotes and abstracts.
  • 📊 Real-time Velocity & Engagement: Capture live trendingScore, total likes, monthly downloads, and commit timestamps.
  • 🏷️ Deep Tag & License Extraction: Identify model architectures (safetensors, endpoints_compatible, 8-bit, fp8) and explicit software licenses (mit, apache-2.0, llama3).
  • ⚡ Zero Authentication Required: Uses public high-throughput endpoints with zero rate-limit hurdles or login barriers.
  • 🤖 MCP & AI Agent Native: Structured JSON schema ready for instant ingestion into Claude Desktop, Cursor, ChatGPT, and LangChain pipelines.

💼 Ideal Use Cases

  1. AI Market Intelligence & VC Scouting: Track breakout open-weight releases before they go viral on X or Hacker News.
  2. AI Agent Tooling (MCP): Connect your autonomous AI coding agents to dynamically query state-of-the-art models for specific tasks (e.g. image-text-to-text, text-generation).
  3. Daily AI Newsletters & Curators: Automatically compile daily or weekly roundups of top models and research papers.
  4. License & Compliance Auditing: Monitor model licensing types (mit, apache-2.0, commercial-friendly) for enterprise adoption.

📥 Input Parameters

ParameterTypeDefaultDescription
resourceTypeString"models"What to extract: models, datasets, or papers.
sortByString"trendingScore"Sort criterion: trendingScore, likes, downloads, createdAt, lastModified.
searchQueryString""Optional keyword filter (e.g. deepseek, llama, flux, whisper).
authorFilterString""Filter by organization/author (e.g. deepseek-ai, meta-llama, google).
taskFilterString""Filter models by pipeline task (e.g. text-generation, image-text-to-text).
maxResultsInteger30Number of items to extract (1 to 200).

📤 Output Dataset Schema

Each item pushed to your Apify dataset contains comprehensive metadata:

FieldTypeDescription
idStringUnique repo slug (e.g. deepseek-ai/DeepSeek-V4.1-Flash)
resourceTypeStringType: model, dataset, or paper
titleStringTitle or repository ID
authorStringOrganization or creator username
likesIntegerCommunity upvotes count
trendingScoreIntegerHugging Face trending velocity score
downloadsIntegerMonthly download count
pipelineTagStringMachine learning task tag
licenseStringModel/dataset software license
tagsArrayFull list of Hugging Face tags
tagsStringStringComma-separated tag string for spreadsheets
createdAtStringISO 8601 creation date
lastModifiedStringISO 8601 update date
urlStringCanonical link to Hugging Face page
summaryStringDescriptive summary or abstract snippet

📋 Sample JSON Output

[
{
"id": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
"resourceType": "model",
"title": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
"author": "deepseek-ai",
"likes": 3581,
"trendingScore": 889,
"downloads": 116770,
"pipelineTag": "image-text-to-text",
"libraryName": "transformers",
"license": "mit",
"tags": [
"transformers",
"safetensors",
"deepseek_v41",
"text-generation",
"image-text-to-text",
"license:mit"
],
"tagsString": "transformers, safetensors, deepseek_v41, text-generation, image-text-to-text, license:mit",
"createdAt": "2026-10-17T02:40:38.000Z",
"lastModified": "2026-10-28T18:12:00.000Z",
"private": false,
"url": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017",
"summary": "Hugging Face AI Model deepseek-ai/DeepSeek-V4.1-Flash-1017 (image-text-to-text) with 3581 likes and 116770 downloads."
}
]

💰 Pricing (Pay-Per-Event)

  • Actor Start: $0.00008 per run
  • Per Result Item: $0.0034 per extracted item ($3.40 / 1,000 items)
  • Zero Hidden Infrastructure Charges: Platform usage compute fees are disabled for clean and transparent pricing.