Autodesk explains AEC Data Model API pricing and Data Out limits

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Autodesk has published how pricing works for its AEC Data Model APIs, the cloud APIs that query Revit model data element by element. Qualifying subscriptions include a monthly amount of “Data Out”, and only usage above that amount is charged.

What’s new

The explanation appeared on Autodesk News on November 12, 2026, in a post by Sasha Crotty and Theo Agelopoulos. The key points:

  • What is metered: “Data Out”, meaning project information retrieved through API queries for use outside the Autodesk environment.
  • What is included: qualifying subscriptions come with a monthly Data Out allowance. Autodesk says the amounts vary by product and subscription; the post does not list them.
  • Overage: usage beyond the allowance is billed monthly or drawn from a token pool.
  • Not affected: opening models in Revit, downloading files through Forma Data Management, exporting to IFC, and Power BI or data pipelines that do not use the AEC Data Model APIs.
  • Monitoring: consumption can be tracked with APS Usage Insights in Autodesk Assistant.

To give a sense of scale, Autodesk cites its Snowdon Towers sample: roughly 90 MB for the full model, 1.55 MB for its doors and 1.12 MB for its windows. The post links to an APS blog article for the detailed rates.

Why it matters

For most Revit users nothing changes: day-to-day modeling, file downloads and IFC exports sit outside this pricing. The impact is on firms and developers building dashboards, AI agents or integrations that pull Revit data through the AEC Data Model GraphQL API.

The practical step is to measure before scaling. Query only the categories and properties you need rather than whole models, check APS Usage Insights after a test run, and confirm which of your subscriptions qualify and what allowance they carry. Autodesk has not published the allowance figures in this post, so ask your reseller or account team if the numbers matter for a project.

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Editor of revit.news and founder of HEXABIM. 25 years in civil engineering and digital modelling. Articles are prepared with the help of automated tools from linked public sources and published under his editorial responsibility.

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