Upload • Share • Sell • Verify

A data marketplace built around proof

THRT is the utility token for publishing, buying, and selling datasets. Upload AI training data, research data, threat intelligence, malware analysis datasets, or other useful collections, then attach the context people need before they trust it.

  • Know where it came from: Listings can include hashes, versions, timestamps, sources, and change history.
  • Check before using: Verification notes show what was reviewed, what still needs work, and what should be treated carefully.
  • Less guesswork: Buyers and researchers can inspect the listing instead of relying on screenshots or vague claims.
Contract
0x644AF35e687823224ae733BAe5a42c3335D35674
Operated by the Perkins Cybersecurity Educational Fund, a 501(c)(3) nonprofit.
Dataset listing
dataset_id
dataset_hash
category
license
source_notes
verification_notes
access_type
payment_tx_url
Source trail

Keep the dataset tied to its source, versions, metadata, and review notes.

Verification

Give users a plain record of what has been checked before they download or buy.

Sell or release

Release a dataset for free or list it for sale with a license, category, price, and basic trust signals.

Context travels

The listing keeps its notes, license, and source history attached so it can be reused responsibly.

A marketplace for useful datasets

The Data Marketplace is where datasets can be published, found, shared, and sold. THRT handles the marketplace side: paid access, publication records, licensing, and the basic history behind each dataset.

Upload

Upload the dataset

Add AI training data, malware analysis datasets, threat intelligence, research datasets, analytics data, or another structured collection.

Distribute

Pick the release type

Make it public domain for anyone to use, or list it for sale and accept THRT.

Access

Use the data

Users can download free datasets or buy premium ones, with the source notes and verification context kept with the listing.

What a dataset listing shows

A listing should tell people what they are getting before they download or pay for it. That means the dataset hash, category, source notes, license, access terms, review status, version history, and payment reference when access is paid.

Dataset basics

Hash, version, file count, size, format, schema summary, category, upload date, and publisher.

Source notes

Where the data came from, how it changed, and what the publisher says about it.

Review status

Unverified, submitted, verified, disputed, limited, or not enough evidence.

Access

Public domain, open research release, restricted access, or a paid THRT listing.

Example listing
Dataset hash
eb01db107fc89376d43a86d1d63bc19d4ae28b096a0586cc4627ab5aef88bc4f
Category
AI training data • JSONL
Access
Marketplace • THRT
Verification
Provenance reviewed
License
Public Domain / CC BY 4.0
Summary

Labeled records, source notes, schema details, quality notes, version history, and review context.

Payment reference

For paid datasets, the transaction URL gives buyers and publishers a reference they can check later.

Verify the record, not the marketing

A hash proves a file did not change. It does not prove the dataset is good. Verification is the review step around the listing: source, license, schema, labels, transformations, quality problems, and limits.

  • Source review: Check whether the hash, source notes, license, version history, and transformations match what the listing claims.
  • Quality review: Look for missing fields, weak labels, bad formatting, duplicates, unclear collection methods, or other problems.
  • Trust review: Record caveats, disputes, license concerns, and whether the data is ready for open use, purchase, citation, or model training.
Review checklist
  1. 1 Listing intake: Confirm the dataset hash, category, license, publisher, access type, version, and marketplace reference.
  2. 2 Metadata check: Review schema, file formats, source notes, transformations, labels, and quality notes.
  3. 3 Decision: Compare the publisher’s claims against the metadata, license, source notes, and reviewer findings.
  4. 4 Review note: Mark the listing as verified, limited, disputed, unverified, or insufficient evidence.
Purpose

A badge by itself is cheap. The useful part is the note behind it: what was checked, what failed, and what the next user should know.

How trust is handled

The point is simple: keep the dataset connected to the context around it. Who published it, what changed, what was reviewed, what license applies, and how access was handled.

  • Publication references: On-chain publication and payment records give listings a stable checkpoint.
  • Hash checks: Dataset hashes let users confirm they are looking at the same version.
  • Metadata stays attached: Publisher notes, schema, category, license, version history, review notes, transactions, and timestamps stay tied to the listing.
  • Limitations are visible: Review notes and disputes stay with the dataset instead of getting buried in private chats.
Marketplace flow
  1. Upload: Add AI training data, malware analysis datasets, threat intelligence, research data, analytics data, or another structured dataset.
  2. Describe: Add category, license, source notes, schema, version history, and release terms.
  3. Review: Attach notes so users can judge origin, quality, limits, and changes over time.
  4. Distribute: Release it as public domain/open access, or sell it through a THRT listing.

This page is not investment advice. Product behavior, review criteria, access limits, and publishing requirements may change.

Where THRT fits

The marketplace can host public datasets and paid listings. THRT is used for premium access and for publication records that keep a dataset tied to its source notes, license, and review history.

Publish

Upload datasets with metadata, category, license, version, and source notes attached.

Sell

List premium datasets and accept THRT while keeping the transaction and access reference with the listing.

Open access

Publish public-domain datasets, including malware analysis data, for open research and AI development.

Papers & links

More detail on THRT, dataset publication, verification, and marketplace access.

FAQ

Is THRT an investment product?
No. This page describes THRT as a marketplace utility for dataset publication, verification notes, and premium dataset access. It is not investment advice.
What does THRT do in the marketplace?
THRT is used for marketplace records, paid dataset access, and keeping dataset context attached to each listing.
Who operates the Data Marketplace?
The marketplace is operated by the Perkins Cybersecurity Educational Fund, a 501(c)(3) nonprofit.
When do I need THRT?
THRT is used for premium dataset purchases and publication records. Verification notes explain what is known, what is not, and where the dataset came from.

This page is not investment advice. Product behavior, review criteria, access limits, and publishing requirements may change.