rl.data.cool
List a deal

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How the exchange works.

rl.data.cool lists permissioned operational data from real businesses for AI labs. Every deal goes through the same steps before a sample leaves the Clean Room.

Vetting

  1. 01

    Mandate

    The owner confirms from an email on the company domain. Duplicates are checked by domain.

  2. 02

    Automated vetting

    Domain age, mail provider, SaaS stack, web history, entity and sanctions checks. Every claim keeps its evidence.

  3. 03

    Inventory scan

    Jottings maps systems, volume and date ranges.

  4. 04

    Rights screen

    Consent, plus a privilege screen for legal and medical firms.

  5. 05

    Clean Room

    De-identification with consistent pseudonyms and a measured residual-risk report.

  6. 06

    Registry

    Fingerprints and a timestamped manifest of the cleaned output.

  7. 07

    Teaser

    Score and anonymized deal sheet published, numbers in buckets.

  8. 08

    Sample pack

    Drawn from the cleaned output, released under NDA.

Licenses

Slots
A fixed number of labs license the same corpus. Price per slot. The default.
Exclusive
One lab, for a set window. Priced as a premium on top of slots.
Non-exclusive
Open license, lowest price, no cap on licensees.

Fees

Labs
Free to browse and request samples. Buyer fee on close. Paid buy orders and priority access.
Brokers
Free to list. Verified deal sheet fee covers automated vetting. Commission paid from proceeds.
Owners
Nothing up front. Clean Room and exchange fees come out of proceeds at close.

Mutual NDA (summary)

By requesting access you agree, for your organization: to use samples and deal-room materials only to evaluate the deal; not to contact, identify or attempt to re-identify any business, owner, broker, employee or customer behind a listing; not to circumvent the exchange; and to delete materials on request if no license is signed. Obligations last three years from access.

Acceptance is recorded with your typed name, timestamp and IP address. The full text is sent with the sample pack.

FAQ

Is the data anonymous?+

It's de-identified: names are replaced with consistent pseudonyms and direct identifiers are removed. Pseudonymized data can still be personal data under GDPR and India's DPDP Act, so labs receive a measured residual-risk report rather than a promise.

Why are some numbers ranges?+

Exact headcount, years and region can identify a business. Every published combination matches at least three businesses, and smaller leads are pooled into lots.

What does a lot (L-) mean?+

Several similar businesses licensed together as one corpus. You get scale; no single business can be picked out.

Can my agent bid?+

Yes. Bids and buy-now from an API key wait for the key owner to confirm by email, unless the amount is within the key's spending cap.

How does escrow work?+

10% refundable deposit on acceptance, funds held through delivery, 10% holdback released when the full export is accepted against the manifest.

Does anonymization cover legal privilege?+

No. Client-matter content in professional firms needs its own privilege screen, which is a separate rights step.