Data got expensive. Its makers still get nothing.

Your data is already training AI. Get paid for it.

Datavar turns the data you already produce into a monthly payout, and gives AI teams the one thing scraped data can never have: consent.

Become a contributorLicense datasets

Built by people previously at

For people

You produce the data.
You should set the terms.

Right now your data is taken quietly and monetised by someone else. Datavar flips the default: nothing moves until you say so, and when it moves, you're paid.

  1. 01

    Connect what you already have

    Link the accounts, devices and files that hold your data. Access is read-only, scoped, and revocable the second you change your mind.

    • Browsing & search
    • Health & wearables
    • Purchases
    • Media
  2. 02

    Nothing leaves until you approve it

    You approve each dataset, each buyer, and each purpose separately. Every approval is written as a signed consent receipt with an expiry date.

    • Per-buyer control
    • Purpose limits
    • Expiring by default
  3. 03

    Get paid when it sells

    Rare, high-signal data earns more than common data. Earnings are held in a contract on Stellar and leave it on your signature alone, with the transaction hash to check them against.

    • XLM payouts
    • On-chain receipts
    • PayPal soon

Earnings

See what you're currently giving away for free.

Pick the sources you'd be willing to share. Rates are what datasets in each category have actually settled for on testnet. They are an average of real sales, not a promise.

Your sources

1×

Paid out as

Estimated payout

16.43XLM

3 sources · 1 dataset each

  • Browsing & search5.16 XLM
  • Purchase history6.02 XLM
  • Streaming & media5.26 XLM

Rare data earns more than common data. A dashcam clip from a rainy roundabout is worth more to a robotics team than another hour of scrolling.

Claim your payout

For AI teams

Scraped data is a lawsuit with a training loss.

Every record in Datavar is traceable to a consenting human, a signed purpose, and an expiry date. Filter a cohort, inspect the distribution, license it through one API.

  • Provenance on every row

    Each record resolves to a consenting person, an agreed purpose, and an expiry. Your legal team can audit any row you trained on.

  • Recruit the cohort you actually need

    Filter by source, region, device, or demographic, then commission data that doesn't exist yet. Contributors opt in and start producing in days.

  • Fresh, not frozen

    Scraped corpora are a snapshot of a dead internet. Datavar streams continuously, so your model sees this month, not 2023.

  • Licensed and indemnified

    Commercial terms, warranties, and indemnity on every dataset. Deletion requests propagate to you within 24 hours.

cohort.py
# 4,102 consenting drivers, EU, streaming live
from datavar import Client

client = Client(api_key="gk_live_…")

cohort = client.cohorts.create(
    sources=["dashcam", "location"],
    region="EU",
    consent="commercial",
    fresher_than="30d",
)

for record in cohort.stream():
    train(record.payload)
    audit(record.receipt) # signed, revocable

Docs coming with the buyer release

The protocol, so far

Testnet · live

1 square = 1 dataset · accent = licensed at least once · first 480 shown

contributors
131
datasets contributed
568
licences sold
227
sold to date
1,194.75 XLM
paid out to date
600.9 XLM
payouts settled on-chain
113

FAQ

The questions you should be asking.

If something here reads like a dodge, tell us and we'll rewrite it.

Are you selling my identity?

We never asked for it: there is no signup, no email and no name, just the Stellar wallet address you connect. What sits inside a file is yours to check before you send it, because we do not read it and we do not scrub it either.

How much will I actually earn?

Nothing yet, because nobody has bought anything. The sales you see come from a simulated buyer we run ourselves and settle in test XLM, so any figure we quoted today would be one we invented.

What happens if I change my mind?

Revoking signs a transaction that marks the receipt withdrawn on Stellar, and after that anyone can ask the contract and be told no without coming through us. It cannot reach into a model that already trained on the data, which is why the contract refuses any consent without an end date in the future.

Do I need a crypto wallet?

For now, yes: your wallet is your account, and payouts settle in XLM on Stellar, where a payment costs a fraction of a cent and a fifty cent payout is still worth sending. PayPal is planned but not live.

How is this different from a data broker?

A broker sells data you never knowingly handed over and keeps the money; here you choose what leaves, you see who licensed it, and you take a cut. Only the first of those is built so far, because the other two need buyers we do not have yet.

For AI teams: why not just scrape?

Scraped data has no answer to who agreed to it, while ours carries a receipt you can check against the ledger yourself, including whether it was withdrawn last week. That runs on testnet today with no catalogue or delivery yet, so if you want those sooner, tell us what you would actually pay for.