Dataset, entity, and market coverage
Select the sources, entities, and markets that define the dataset coverage your team can use.
Datasets & feeds · Scoped dataset pricing
Data Marketplace Pricing for the records you need.
Begin with a relevant collection and representative sample. Pricing follows the entities, markets, fields, history, refresh, and delivery that make the dataset useful to your team.
Scoped plan
Price the usable record setSample, scope, history, and delivery reviewed
- Priced by
- Dataset, entity, and market coverage
- Evaluate with
- Representative production inputs
- 下一步
- Request a focused quote
Custom pricing
Build the quote from a representative workload.
Custom pricing turns the operating profile into a clear proposal. Share the inputs that affect capacity, execution, delivery, and support so the plan matches production.
Request a quote- 01Show the workload
Bring representative sources, targets, or delivery requirements.
- 02Make demand visible
Map volume, cadence, concurrency, coverage, and outputs.
- 03Align the operating model
Include quality, support, security, destination, and contracting needs.
- 04Receive a focused plan
Review the configuration and commercial scope as one proposal.
Cost drivers
The inputs that shape Data Marketplace pricing.
Use these four inputs to compare plans or prepare a quote with less guesswork and a clearer production fit.
Record volume and selected fields
Compare record count and field depth against the model, analysis, or application consuming the data.
Historical depth and refresh requirements
Match freshness and historical depth to the decision window instead of buying unused recency.
Format, destination, and usage scope
Choose the delivery format, usage scope, and support path needed for downstream adoption.
Choose your path
Start at the level that matches the decision.
Move from representative evidence to a commercial path without over-sizing the first step.
One-time analysis
Select a prepared collection for a defined market, entity, or research question.
Custom dataset package
Shape fields, coverage, history, and delivery around a specific model or workflow.
Recurring requirement
Move repeated refresh needs into a Data Feed or managed delivery plan.
Pricing FAQ
Data Marketplace pricing questions, answered.
Use these answers to choose the buying path and prepare a representative evaluation or pricing brief.
How is Data Marketplace pricing determined?
Pricing reflects the selected collection, entity and market coverage, record volume, fields, history, refresh needs, format, and delivery.
Can I review sample records first?
Yes. A representative sample helps your team validate fields, coverage, and fit before defining the complete dataset package.
What should I include in a dataset request?
Share the business question, entities, markets, fields, time range, expected record volume, format, and delivery destination.
Is Data Marketplace suited to recurring delivery?
It can support a prepared dataset purchase. When the same scope needs regular refreshes, Data Feeds provides a clearer recurring-delivery path.
Can a dataset be shaped around a model or analytics workflow?
Yes. Define the records, attributes, coverage, history, and output structure needed by the downstream system so the package is scoped around its use.
下一步
Turn the Data Marketplace workload into a clear plan.
Bring the sources, volume, execution, delivery, and support profile for a focused configuration and quote.