Sources and record coverage
Define the sources and expected record volume in each scheduled delivery window.
Datasets & feeds · Custom feed pricing
Data Feeds Pricing for recurring, ready-to-use delivery.
Price the feed around what reaches your systems: the right sources, records, refresh schedule, schema, quality checks, history, and destination.
Scoped plan
Scoped around each delivery runRecords, cadence, schema, and destination included
- Priced by
- Sources and record coverage
- Evaluate with
- Representative production inputs
- Der nächste Schritt
- 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 Feeds pricing.
Use these four inputs to compare plans or prepare a quote with less guesswork and a clearer production fit.
Volume, cadence, and change frequency
Set the schema, transformations, and enrichment steps required before records enter your systems.
Normalization and quality rules
Choose a cadence from the operational decisions that depend on each refreshed feed.
History, format, destination, and support
Align destination, quality checks, monitoring, and support with the receiving workflow.
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.
Operational monitoring
Receive refreshed records on a schedule aligned with the decision cycle.
Data product input
Deliver a stable schema into analytics, applications, or model pipelines.
Multi-source feed
Unify sources, record rules, quality checks, and one delivery contract.
Pricing FAQ
Data Feeds pricing questions, answered.
Use these answers to choose the buying path and prepare a representative evaluation or pricing brief.
How is Data Feeds pricing scoped?
Pricing reflects sources, record volume, refresh cadence, schema work, quality rules, history, format, destination, and support.
What information should a feed brief include?
Define the sources, entities, fields, expected volume, refresh schedule, quality rules, change policy, format, and receiving system.
Can I review a sample before planning recurring delivery?
Yes. A representative sample helps validate the record shape and quality boundary before the recurring feed is scoped.
Does a higher refresh frequency affect pricing?
Cadence is one of the core workload inputs because it changes collection runs, processing, validation, and delivery volume.
Can multiple sources share one feed schema?
Yes. Include the source mix and target schema in the brief so mapping, normalization, and quality rules can be planned together.
Der nächste Schritt
Turn the Data Feeds workload into a clear plan.
Bring the sources, volume, execution, delivery, and support profile for a focused configuration and quote.