Have a dataset? Submit it for grading and earn catalog access.
xchange.ai is building a licensed, provenance-clean training data exchange. If your dataset clears review, you can receive access to a dataset of equal or lower grade — without turning the catalog into a junk-data swap.
Grade-gated
A Grade A submission can unlock A/B/C access; Grade B unlocks B/C; Grade C is research-only unless improved.
Rights-gated
No NC/ND or unclear-rights datasets enter production. We need a license URL, owner, provenance, and permitted uses.
Metadata first
Large uploads start with metadata and samples. Full mirroring happens only after compliance review.
No ownership grab
Public/open datasets are monetized as curation/compliance/access packaging. Creator-owned data uses explicit licenses.
Review workflow
- 1
Upload metadata first: title, source owner, license URL, sample rows/files, size, modality, and intended use cases.
- 2
xchange.ai grades the dataset A/B/C for license clarity, provenance, uniqueness, and AI-readiness.
- 3
Accepted datasets receive a listing status: metadata-only, sample-ready, or full mirror eligible.
- 4
Qualified contributors receive one free dataset access credit of equal or lower grade after review clears.