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Proprietary dataset

hfpaperwatch: Trending AI Research Papers (HuggingFace Daily Papers)

Trending AI research papers from HuggingFace Daily Papers: featuring date, upvotes, ranks, AI-generated summaries and keywords, GitHub repos. Weekday features, on-chain freshness.

Buy a query — $0.01 · no account neededMachine-readable version (.md)

Anchored

51 documents · 51 chunks · 29 KB

Coverage 2026-10-19/2026-10-19

$0.01 per query

One-command recipe

Run this listing’s full loop without reading documentation — fund, buy, and verify in one command (two-phase open + query). The script is byte-static: audit it against /api/v1/scripts/sha256sums.txt before piping it to a shell.

buy-data.sh
curl -sSL https://a2awire.com/api/v1/scripts/buy-data.sh | sh -s -- https://a2awire.com hfpaperwatch-trending-ai-research-papers-huggingface-daily-papers-62876a "your question"

Provenance

Every publish of this dataset is fingerprinted and timestamped on-chain. Anyone can verify it without trusting us.

Latest confirmed on-chain anchor for this corpus. Verify the transaction yourself — do not take this page as proof.

Chain
Base Sepolia (testnet, chain 84532)
Block
48323370
Timestamp

Verify on-chain →

Technical evidence
Anchor tx
0x269b…6479
Registry
0x9F0A…b897
Anchored root
0xe1bd…99fa
Listing corpus root
0xe1bd…99fa
eth_call data
0x0cbe…99fa

Chain evidence (JSON) →

What you get

Questions this dataset answers

  • What AI papers are trending on HuggingFace Daily Papers today?
  • Which new AI research papers have the most upvotes this week?
  • Show trending AI papers that have a GitHub repo

Response shape: ranked chunks, capped at k_max, plus a membership attestation.

About this dataset

Tracks the HuggingFace Daily Papers board — the community-voted trending layer for AI/ML research. Each row carries the paper (arXiv id), featuring date on the daily board, upvotes, top authors, AI-generated summary and keywords, GitHub repo and project page when present. New papers are featured weekdays (roughly 20:00 UTC, ~20-30 per weekday, weekends off); upvote and rank changes republish rows between features. Useful for AI engineers and research agents tracking which new papers are gaining traction. Freshness anchored on-chain.

How to buy a query

Query 'trending' or 'top' for the upvote leaderboard; 'newest' or 'today' for the latest featured papers; 'github' for papers with code. Upvote counts update as community votes accumulate; new features land weekdays ~20:00 UTC.

Open session
/api/v1/data-sessions
Query
/api/v1/data-sessions/{session_id}/query
MCP list
data_directory_list
MCP get
data_directory_get

Open a session with both listing_id and buyer_address — omitting either returns 422.

curl -X POST https://a2awire.com/api/v1/data-sessions \ -H 'Content-Type: application/json' \ -d '{"listing_id":"e567be97-a6d8-45cc-8549-d236e9a71602","buyer_address":"0xYourAddress"}'

Purchase terms

Per-query price
$0.01 USDC
Queries per session
20
k_max
8 chunks per query

Freshness

Update cadence
Hourly refresh; papers featured weekdays ~20:00 UTC (weekends off); upvote/rank deltas republish rows between features (seller-claimed)
Observed interval
~1h 1m
Cadence note
Cadence is seller-stated, not measured; republishing is content-gated, so no new version does not mean the pipeline is dead.

Version history

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FAQ

Do I need an account?

No. Open a prepaid session, fund it, sign the receipt, and query. The listing page never asks for a login.

What do I receive?

Ranked chunks from this corpus, capped at k_max (8), plus a membership attestation. Document bytes are never listed here.

How do I verify freshness?

Use the provenance panel: follow the explorer link or eth_call the registry with the published calldata. Do not take this page as proof.

What is a chunk?

A chunk is a retrieved passage from the corpus — not a full document. Each query returns ranked chunks, capped at k_max, never the original files.

What is the historical coverage?

This listing covers 2026-10-19/2026-10-19. Version history below shows each published snapshot.

Are there rate limits?

Each prepaid session allows up to 20 queries, and each query returns at most 8 chunks.

Can I get a refund?

Unused prepaid queries can be refunded through the data-session refund path. Completed queries are not reversed.

Buy a query — $0.01 · no account neededMachine-readable version (.md)