Alteryx · FinOps Profile

Alteryx Finops

FOCUS-aligned FinOps for Alteryx: tiered seat-based subscription pricing across Starter ($250 per user/month, annual billing), Professional, and Enterprise editions, with optional add-ons for automation capacity, dedicated data processing, and professional services. Three user roles - Viewer, Basic Creator, Full Creator - shape per-seat cost.

Alteryx Finops is the FinOps profile for Alteryx on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 5 billable meters, billed in USD, on a annual cycle, and pricing category tiered subscription.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include Analytics, Automation, Data Engineering, Data Preparation, and ETL.

Category: Analytics Platform Pricing: Tiered Subscription Billing: Annual FOCUS v1.3
Method: generated, dated 2026-05-05.
Written by API Evangelist on 2026-05-05 from the provider's published pricing, and not verified by the provider. Treat the meters and categories as our reading of their pages, not their statement.
View Source
AnalyticsAutomationData EngineeringData PreparationETLMachine LearningFinOpsFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

PurchaseUsageTaxCreditAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Purchase
InvoiceIssuerName
Alteryx, Inc.
PricingUnit
seat-month
ProviderName
Alteryx
PublisherName
Alteryx, Inc.
ServiceCategory
Analytics Platform
ServiceName
Alteryx Analytics Platform

Meters

full_creator_seats
Unit: seat-month
Full Creator user seats (end-to-end automation across the analytics lifecycle)
basic_creator_seats
Unit: seat-month
Basic Creator user seats (essential data prep and analytics tools)
viewer_seats
Unit: seat-month
Viewer user seats (access and explore shared workflows and reports)
automation_capacity
Unit: capacity-unit-month
Add-on automation capacity beyond included edition allotments
dedicated_data_processing
Unit: capacity-unit-month
Add-on dedicated data-processing capacity

Sources

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