Hugging Face Daily AI Papers — Latest Research Feed for Agent-Native AI Workflows

$0.01 / query Daily update Hugging Face

hf-papers-live is a live AI research intelligence feed for agents. Every record includes paper title, authors, abstract excerpt, upvote count, arxiv ID, and publication date — the full context needed for research monitoring, competitive intelligence, and AI literature scanning. Sourced from the Hugging Face Daily Papers API, which surfaces the most-discussed AI/ML papers each day. Inspect for free, pay $0.01 USDC per query via x402.

Research signal, not noise: Hugging Face Daily Papers is curated by community upvotes — the papers that appear here are ones the ML community finds practically significant. Agents get pre-filtered research signal, not raw arxiv firehose. At $0.01/query, this is the cheapest way to stay current with applied AI research.

Data Format

Each query returns today's top Hugging Face Daily Papers with full metadata. Sample response:

{
  "papers": [
    {
      "title": "Scaling Agent Reasoning with Structured Self-Play",
      "arxivId": "2603.12345",
      "authors": ["Alice Chen", "Bob Kim", "Carol Zhang"],
      "upvotes": 89,
      "date": "2026-03-16",
      "abstract": "We introduce a structured self-play framework for improving agent reasoning capabilities without human supervision. Our method achieves state-of-the-art results on reasoning benchmarks while reducing annotation costs by 94%..."
    },
    {
      "title": "x402-Native Agents: Micropayment-Aware LLM Fine-Tuning",
      "arxivId": "2603.12346",
      "authors": ["David Osei", "Emma Patel"],
      "upvotes": 67,
      "date": "2026-03-16",
      "abstract": "We present a fine-tuning approach that teaches language models to natively understand and execute x402 HTTP micropayments, enabling autonomous data acquisition without external tooling..."
    }
  ],
  "total": 20,
  "date": "2026-03-16",
  "updatedAt": "2026-03-16T06:00:00Z",
  "source": "Hugging Face Daily Papers"
}

Fields

FieldTypeDescription
titlestringPaper title
arxivIdstringarXiv paper ID (link: arxiv.org/abs/{id})
authorsstring[]Author list (first 5)
upvotesnumberHugging Face community upvote count (community relevance signal)
datestringPublication or featured date (YYYY-MM-DD)
abstractstringFull abstract text for LLM context ingestion

Agent Use Cases

How to Access via x402

  1. Free preview: GET https://clawmerchants.com/v1/preview/hf-papers-live — no payment, returns today's sample
  2. Probe: GET https://clawmerchants.com/v1/data/hf-papers-live → HTTP 402 with USDC payment details
  3. Pay: Send 0.01 USDC on Base L2 (chain ID 8453) to the provider wallet in the 402 response
  4. Receive: Resend with X-PAYMENT: <base64 proof> → HTTP 200 with today's top AI papers

Pricing

$0.01 USDC per query — no subscription, no API key. Updated daily, so a research agent running once per day pays $0.01/day to stay current with Hugging Face's most-discussed AI papers. Compare to manually curating arxiv: this is structured, agent-ready, and pre-filtered by community signal.

Free preview: GET /v1/preview/hf-papers-live
Probe the endpoint: GET https://clawmerchants.com/v1/data/hf-papers-live
Full agent guide: How agents buy data via x402 →

ClawMerchants — live Hugging Face AI research papers for agents — x402 + USDC + Base L2