Skip to content
DepthData logo

Unify and defend your AI spend by translating vendor console data into a single, verifiable metric.

Visit Website
Tracked since2026
0 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Provides a unified view of AI spend across multiple vendors

Biggest con

Currently has no customers (as stated on the website)

TL;DR - DepthData

  • Unifies AI vendor data for consistent reporting.
  • Provides a single, defensible figure for AI spend and value.
  • Labels data as measured, derived, or modeled for transparency.
Pricing: Paid only
Best for: Enterprises & pros

What is DepthData?

Editorial review
Depthdata provides a solution for companies struggling to track and justify their AI tool expenditures across multiple vendors. It addresses the common problem where each AI vendor (e.g., ChatGPT, Claude, Copilot, Gemini) offers its own console with different definitions of 'active users' and varying reporting capabilities, making it nearly impossible for finance teams to get a unified, accurate view of AI spend and value. The product works by connecting to each vendor's admin console using read-only APIs. It then translates the disparate units and metrics from these consoles into a single, consistent set of terms. This allows organizations to establish a baseline for their AI usage and spend, track progress, and generate a single, defensible figure that finance teams can trust. Depthdata explicitly labels whether a figure is measured directly from an API, derived through a published formula, or modeled as an estimate, providing transparency and confidence in the data.

Pros & Cons

Pros

  • Provides a unified view of AI spend across multiple vendors
  • Increases financial accountability and defensibility of AI investments
  • Reduces manual effort for AI usage reporting
  • Offers transparency in data calculation and estimation
  • Connects to existing vendor consoles without requiring new software installation

Cons

  • Currently has no customers (as stated on the website)
  • Relies on the availability and scope of vendor admin APIs

Key Features

Read-only API integration with AI vendor consolesTranslation of vendor-specific metrics into a single schemaBaseline establishment for AI usage and spendProgress tracking against internal baselinesTransparent labeling of data (Measured, Derived, Modelled)Published formulas for derived metricsPublished methods and ranges for modelled estimates

Pricing

Paid

DepthData offers paid plans. Visit their website for current pricing details.

View pricing

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99Free with your review

Review DepthData, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

Explore More

DepthData FAQ

How does Depthdata handle vendors that do not expose usage or spend data via API?

Depthdata's connector matrix explicitly states what each vendor exposes, including instances where nothing is exposed. For vendors with limited API access, it will report the available data (e.g., seats) and highlight the gaps, ensuring transparency rather than hiding missing information.

What is the difference between 'Measured', 'Derived', and 'Modelled' figures in Depthdata?

'Measured' figures are directly pulled from a vendor's API (e.g., seat counts, invoices). 'Derived' figures are calculated using arithmetic on measured data, with the formula published for review. 'Modelled' figures are estimates, with their method and range also published, and are never presented as exact counts.

How does Depthdata ensure data security when connecting to vendor consoles?

Depthdata uses read-only grants (scopes) for each vendor connection. This means it only has permission to read data and does not require any software to be installed on local machines, minimizing security risks.

Can Depthdata help track the value of AI tools, not just the spend?

Yes, Depthdata aims to provide a single definition of active usage, spend, and value. By normalizing data across vendors and grading progress against your own workspace's historical performance, it helps organizations understand what they are getting for their investment, moving beyond just cost tracking.

Guides & Articles