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MarketplaceLast verified

DataVendor

Marketplace for private code and technical datasets.

Our verdict

Mainly for companies with private code repositories, software projects and technical task data rather than broad business archives. Its listing examples of $68K to $220K are asking prices, not completed sales. Confirm who you contract with, since its legal pages point to HUD.ai, along with the platform fee and license terms.

The official program opens on datavendor.ai. You can apply there directly.

At a glance

Data accepted
  • Software engineering
  • Projects and workflows
See what they accept
Who qualifies
Own/licensable private technical assets; quality checks via platform; size/geography not published
How payment works
You are paid when a buyer purchases your listing. Platform fees, the paying entity and payment timing are not published.See fees and timing
Important contract consideration

The contracting entity is unclear, and fees, exclusivity and data deletion terms are not published.

See rights and exclusivity
Official program
Documented on the company's own site
Seller intake
Active 'Start selling' and marketplace intake
Buyer budget
Not independently verified
Completed deals
Not independently verified

Data and eligibility

What they ask for
Private code repositories with history, software projects, tasksets, RL environments and company technical context
Data types
  • Software engineering
  • Projects and workflows

Grouped by DataDeals from the program's own description.

Systems named
No specific systems named
Who qualifies
Own/licensable private technical assets; quality checks via platform; size/geography not published
Closed or winding-down companies
Not stated

Money and deal structure

How you are paid
You are paid when a buyer purchases your listing. Platform fees, the paying entity and payment timing are not published.
Seller fees and commissions
No seller fee or platform take rate published on reviewed first-party pages.
Payment timing
No payment deadline, acceptance tests or remittance schedule specified.
Advertised compensation
Sample listings $68K–$220K are asking/listing examples, not verified closed deals or guaranteed offers

Published by the organization in its marketing. It is not a signed offer or a verified transaction.

Rights, privacy and control

Exclusivity

License to AI buyers: not publicly specified

License exclusivity, duration and field not publicly specified.

Ownership of original data
Seller lists private assets; ownership retention after license not expressly described.
Permitted AI use and sublicensing
AI training/evaluation buyers are described; buyer resale and derivatives not constrained publicly.
Privacy and de-identification
Site provides no detailed seller-side anonymization, sensitive-data or rights-clearing process.
Retention, deletion and termination
No published seller dataset deletion/retention, revocation or termination policy.

Score and evidence

16 criteria, each checked against the organization's own public pages: 4 confirmed, 7 partial, 5 not published. Open a category to see the evidence.

Access and eligibility4 criteria, show evidence27/30
  • Seller-specific application/contact route

    Confirmed10/10 points

    Official 'Start selling' and asset estimator routes exist.

    Source: Seller-specific application/contact routeChecked November 9, 2026

  • Accepted operational-data categories

    Confirmed8/8 points

    Private repos, Git history, software projects, tasksets, RL environments and technical context accepted.

    Source: Accepted operational-data categoriesChecked November 9, 2026

  • Eligibility requirements

    Partial3/6 points

    Seller must control licensable technical assets; no universal headcount/geography published.

    Source: Eligibility requirementsChecked November 9, 2026

  • Evaluation steps/timeline

    Confirmed6/6 points

    Inventory connection, automated quality checks, listing, buyer matching and purchase flow.

    Source: Evaluation steps/timelineChecked November 9, 2026

Payment transparency4 criteria, show evidence8/30
  • Seller compensation and payer

    Partial5/10 points

    Site says seller is paid when buyer purchases; legal payer/escrow arrangement unclear.

    Source: Seller compensation and payerChecked November 9, 2026

  • Seller fees/commissions

    Not published0/8 points

    No seller fee or platform take rate published on reviewed first-party pages.

    Source: Seller fees/commissionsChecked November 9, 2026

  • Payment conditions and timing

    Not published0/6 points

    No payment deadline, acceptance tests or remittance schedule specified.

    Source: Payment conditions and timingChecked November 9, 2026

  • Valuation/offer methodology

    Partial3/6 points

    Estimator and sample listing prices exist; factors beyond quality/buyer fit are limited.

    Caveat: Marketing values, sample listings and estimates are not verified closed transactions.

    Source: Valuation/offer methodologyChecked November 9, 2026

Seller rights and data handling5 criteria, show evidence5/25
Evidence quality3 criteria, show evidence10/15
  • First-party documentation specificity

    Partial3/6 points

    Detailed technical marketplace flow but no seller contract; examples are unverified asking prices.

    Source: First-party documentation specificityChecked November 9, 2026

  • Freshness and access

    Confirmed5/5 points

    Official marketplace and process page accessible at review.

    Source: Freshness and accessChecked November 9, 2026

  • Consistency and legal counterparty

    Partial2/4 points

    Site says 'Provided by HUD.ai' and links HUD legal pages; exact seller contract party unresolved.

    Caveat: Additional first-party page: https://docs.datavendor.ai/

    Source: Consistency and legal counterpartyChecked November 9, 2026

Official sources

Sources checked November 9, 2026. Terms can change. Confirm them with DataVendor before you share data or sign.

DataDeals is free for sellers and may receive referral fees from buyers. Commercial relationships do not affect DataDeals Scores. Read the methodology

Alternatives to compare

Chosen for overlapping data types, not for score. Each card notes one published difference.

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