1. What happened
Built-in licensed/indexed data available to the financial-services product for grounded analysis and citations; specific provider contracts are not public.
2. Buyer / seller
OpenAI is the AI buyer or model-development side. LSEG, PitchBook, Daloopa, Crunchbase, Quartr, LSEG News owns or contributes the proprietary corpus.
3. Economics
No provider-specific consideration disclosed. Economics scope: not disclosed. Strategic Signal has not estimated undisclosed consideration.
4. Proprietary data
Continuously updated proprietary financial datasets integrated as built-in, cited data sources in ChatGPT for Financial Services. Customer-connected subscription sources are excluded from this record. Historical depth: Varies by provider; Daloopa reports 14 years of normalized data.. Refreshability: continuous provider updates.
5. Rights and restrictions
Product and provider controls apply; contract details are not public. Ownership: no disclosed transfer. Training: not disclosed. Post-training: not disclosed.
6. Why the data matters for AI
Ground inference, financial analysis, retrieval, and citations; no training rights are claimed. High for financial research and valuation, though less direct than operational intervention corpora.
7. Asset Score — Pending/100
Legacy score withdrawn pending evidence-linked scoring and human approval. The superseded v1.0.0 release retains the original values. Score coverage: 0%.
| Factor | Weight | Rating / 5 | Points |
|---|---|---|---|
| Uniqueness / scarcity | 12 | Unknown | — |
| Historical depth | 8 | Unknown | — |
| Decision → outcome richness | 13 | Unknown | — |
| Decision Value Density | 13 | Unknown | — |
| Real-world grounding | 10 | Unknown | — |
| Domain economic value | 9 | Unknown | — |
| Refreshability | 8 | Unknown | — |
| Proprietary advantage | 9 | Unknown | — |
| Model-learning usefulness | 10 | Unknown | — |
| Non-replicability | 4 | Unknown | — |
| Rights usability | 4 | Unknown | — |
8. Transaction Signal Score — Pending/100
Legacy score withdrawn pending evidence-linked scoring and human approval. The superseded v1.0.0 release retains the original values. Score coverage: 0%.
| Factor | Weight | Rating / 5 | Points |
|---|---|---|---|
| Disclosed economics | 16 | Unknown | — |
| Clean price discovery | 16 | Unknown | — |
| Separability of data consideration | 15 | Unknown | — |
| Explicit training / model-improvement use | 14 | Unknown | — |
| Clarity of rights purchased | 12 | Unknown | — |
| Competing bids | 10 | Unknown | — |
| Strategic buyer quality | 6 | Unknown | — |
| Repeatability / precedent value | 6 | Unknown | — |
| Independent model-uplift evidence | 5 | Unknown | — |
9. M&A / valuation implications
Shows that renewable data vendors can license access repeatedly without transferring ownership, but undisclosed contracts provide weak standalone price discovery.
10. Evidence boundary
Built-in providers and retrieval/citation use are disclosed. Training, post-training, ownership, and pricing are not claimed.