Ultra is Facteus’s row-level transaction data stream for investors who want maximum control. It delivers large-scale, fast, investor-ready transaction data one day later, with the granularity needed for serious production models.
Row-level transaction data stream for investor workflows.
Very large, very fast, and built for model development.
Best for teams that want to engineer their own signals from granular data.
On this page: what Ultra is, what it solves, specs, proof, use cases, and FAQs.
Ultra is Facteus’s most granular transaction product for investors. It provides row-level transaction data with one-day lag delivery, built for teams that want to create, test, and deploy their own models. Compared with Arbiter, Ultra is more flexible and raw. Compared with Cube, it is built for investors rather than business users.
Ultra is designed for teams that build their own signals and features.
Daily delivery matters when research and market conditions move fast.
Ultra gives teams the underlying material to build differentiated views.
Modern delivery options help move from evaluation to production faster.
Engineer your own features, aggregations, and company-level signals from granular observed spend.
Ultra is delivered one day later, helping teams keep models tied to current consumer behavior.
The data is granular enough for serious quant and analytics pipelines, not just exploratory work.
Use delivery options suited to investor data environments and model operations.
Ultra is built for technical investor teams that want raw flexibility and scale.
| Specification | Detail |
|---|---|
| Data type | Transaction data |
| Granularity | Row-level |
| Refresh cadence | Daily / one-day lag |
| Core use case | Research and production models |
| Delivery | API, Snowflake, S3, approved workflows |
| Audience | Investors |
Row-level transaction data gives investor teams something packaged signals cannot: control. It lets analysts and quants decide how to define cohorts, aggregate trends, engineer features, and test ideas without inheriting someone else’s assumptions. That flexibility can be the difference between using a dataset and building an edge from it.
Ultra is Facteus’s answer for teams that want that depth. It delivers row-level transaction data at scale, one day after the transactions occur, so investors can move quickly from ingestion to research to production. That makes it useful for systematic signals, company monitoring, and custom nowcasting workflows.
Granularity alone is not enough, though. The data also has to be stable, representative, and usable inside real systems. Ultra combines row-level flexibility with the broader Facteus standard of verified economic intelligence, giving teams more than raw exhaust. It gives them raw material they can trust.
Ultra is built for granular investor workflows without sacrificing trust.
Row-level transaction stream
One-day lag delivery
185M+ cards from 30+ diverse sources
Benchmarking against external economic and earnings measures
Build differentiated research inputs from the ground up.
Use granular data in live quant workflows.
Create custom aggregations by ticker, sector, or cohort.
Move faster from idea to test to deployment.
Ultra provides row-level data for teams that want maximum flexibility. Arbiter is more shaped for forecasting workflows.
Yes. Ultra is positioned around daily transaction delivery with one-day lag.
Yes. Ultra is granular enough for serious model development and deployment.
Ultra supports delivery through common investor and analytics environments.
Teams choose Ultra when they want to define their own methodology instead of depending on pre-aggregated outputs.
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