Financial data at scale
Built for investors and AI teams.
The default data layer for your agents
Clean, point-in-time data, auditable to the source. Seconds after the report.
We clean the data. You find the alpha.
We map complex, disparate data across global markets into clean rows.
- get_earnings(NVDA)revenue $96.2B, beat 15.0%
- get_kpi_metrics(NVDA, Q2 FY27)Data Center $89.0B
- get_kpi_metrics(NVDA, Q2 FY26)Hyperscale $24.2B, ACIE $16.9B
- get_kpi_guidance(NVDA)Q3 revenue $108.0B ±2%
- get_kpi_non_gaap(NVDA)gross margin 75.0%
Thinking
- Revenue96.2+106%
- Data Center89.0+117%
- Hyperscale48.7+102%
- AI Clouds & Ent.40.3+138%
- Edge Computing7.2+27%
- Q3 guide108.0±2%
- Non-GAAP GM75.0%
- 1NVDA 8-K, EX-99.1
- 2NVDA CFO commentary
- 3NVDA 8-K, EX-99.1
| Q2'26 | Q1'27 | Q2'27 | Y/Y | |
|---|---|---|---|---|
| Data Center | 41.1 | 75.2 | 89.0 | +117% |
| Hyperscale | 24.2 | 43.1 | 48.7 | +102% |
| AI Clouds & Ent. | 16.9 | 32.2 | 40.3 | +138% |
| Edge Computing | 5.6 | 6.4 | 7.2 | +27% |
Where your agents run
Financial Datasets plugs into Claude, ChatGPT, Hermes, or your own harness.
Track 1 · Claude · claude.ai, Desktop, Claude Code
Terms set for your firm
Request volume, delivery format, and contract terms, agreed with your team.
For investment teams
Point-in-time history, as the market saw it at the time.
- 30 years of point-in-time financials, restatements included.
- Delisted companies stay in fundamentals: no survivorship bias.
- Every number links to the sentence it came from.
- Zero data retention: your research queries are never stored.
For AI companies
Data your product can show its users, with redistribution in the contract.
- Request volume set to your needs, on dedicated compute.
- Licensing written for AI products: redistribution included.
- Webhooks that push new data the moment it lands.
- Uptime SLA written into your contract.
Frequently asked questions
Pricing, delivery, data retention, and security review.
Pricing is based on request volume, bulk datasets, and the terms you need. Tell us your expected volume and the datasets you use, and we send a quote after one call. Enterprise is billed by invoice with net terms.
Parquet files in your S3 bucket by default, split by dataset and year, with a manifest that lists row counts and checksums. Snowflake share, Databricks Delta share, and CSV over SFTP are also available. Every financial row carries its filing date and as-of date, so point-in-time stays intact after the load.
Your queries and responses are never retained. No logs, no audit trails, no persistence on our side.
Yes. Professional and Enterprise plans include data redistribution rights, with attribution to Financial Datasets. This covers figures, tables, and charts in your product, and data passed to an AI model that answers your users.
Request the MSA, DPA, and security policies through the contact form. Our SOC 2 Type I audit is in progress. The subprocessor list and privacy policy are public.