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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.

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Data Feeds pricing at a glance, with the workload inputs used to select a plan or scope the right capacity.
Scoped plan
Scoped around each delivery run

Records, cadence, schema, and destination included

Priced by
Sources and record 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.

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  1. 01
    Show the workload

    Bring representative sources, targets, or delivery requirements.

  2. 02
    Make demand visible

    Map volume, cadence, concurrency, coverage, and outputs.

  3. 03
    Align the operating model

    Include quality, support, security, destination, and contracting needs.

  4. 04
    Receive 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.

01

Sources and record coverage

Define the sources and expected record volume in each scheduled delivery window.

02

Volume, cadence, and change frequency

Set the schema, transformations, and enrichment steps required before records enter your systems.

03

Normalization and quality rules

Choose a cadence from the operational decisions that depend on each refreshed feed.

04

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.

01

Operational monitoring

Receive refreshed records on a schedule aligned with the decision cycle.

02

Data product input

Deliver a stable schema into analytics, applications, or model pipelines.

03

Multi-source feed

Unify sources, record rules, quality checks, and one delivery contract.

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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.

下一步

Turn the Data Feeds workload into a clear plan.

Bring the sources, volume, execution, delivery, and support profile for a focused configuration and quote.

Request a quoteExplore Data Feeds