Depthdata
AI spend intelligence: one governed, read-only view of adoption, spend, and cost per outcome across AI tools.
At a glance
Price not confirmed · Source review 2026-11-04- Price & billing
No plan price is stated on the homepage read and the pricing path returns 404, so price is unconfirmed and no charge fact is recorded. Dollar figures on the homepage ($48.2k a month of AI spend, $221 cost per user, $4.04k a month recoverable) are demo dashboard illustrations, not Depthdata prices.
- Free allowance
Not separately confirmed. Check the current plan before relying on a free allowance.
- Best suited to
Finance, IT, and leadership teams needing one auditable answer to whether company AI spend is working, companies with AI use spread across vendor consoles, and enablement teams routing coaching nudges to dormant seats.
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Finance, IT, and leadership teams needing one auditable answer to whether company AI spend is working, companies with AI use spread across vendor consoles, and enablement teams routing coaching nudges to dormant seats.
Limits and trade-offs
Coverage is limited to what vendors expose through official admin APIs or exports, with some matrix cells marked NOT EXPOSED; prompts and outputs are never read by design; no listed price is stated and engagement starts with a demo request.
Plans and free allowances
No plan price is stated on the homepage read and the pricing path returns 404, so price is unconfirmed and no charge fact is recorded. Dollar figures on the homepage ($48.2k a month of AI spend, $221 cost per user, $4.04k a month recoverable) are demo dashboard illustrations, not Depthdata prices.
Evidence
Official homepage ↗ (reviewed 2026-11-04)
Official published documentation reviewed; not a product test
Dates: Last reviewed 2026-11-04. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Depthdata
AI spend intelligence: connect ChatGPT Enterprise, Claude, Copilot, Gemini, Cursor, and other AI admin consoles through read-only APIs into one governed view of adoption, spend, and cost per outcome — with a workspace health score, coaching nudges, defensible analytics, and leaderboards — without installing agents on laptops or reading a single prompt.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Depthdata
- Finance, IT, and leadership teams that need one auditable answer to whether company AI spend is working, instead of five vendor admin consoles with different definitions of usage.
- Companies with AI use spread across ChatGPT, Claude, Copilot, Gemini, Cursor, and more, where nobody can confidently state adoption, spend, or cost per outcome.
- Enablement teams that want to find dormant seats and low-adoption teams and route coaching nudges where they move the number, with a workspace health score to track lift.
When to choose something else
- Teams whose key tools expose nothing through official admin APIs: the transparency matrix marks some coverage NOT EXPOSED, and Depthdata states it can only see what vendors expose.
- Buyers who want prompt-level inspection or coaching on prompt content: prompts and outputs are never read, by design, and no agents run on employee devices.
A practical starting workflow
- Connect AI admin consoles via read-only OAuth into ChatGPT Enterprise, Claude, Copilot, and the rest, with nothing to install and nothing employees notice.
- Normalize usage, seats, and spend into a single governed schema, so active user means the same thing across every tool.
- Set baselines per department to define what good looks like, and track lift against those baselines rather than vendor benchmarks.
- Route insights to each stakeholder automatically: health scores to execs, nudges to team leads, spend alerts to finance.
- Export anywhere: push to a BI stack or export board-ready reports with methodology attached.
Check before committing
- Dollar figures on the homepage ($48.2k a month of AI spend, $221 cost per user, $4.04k a month recoverable) are demo dashboard illustrations, not Depthdata prices; no plan prices are stated anywhere on the site.
- Coverage is limited to what vendors expose through official admin APIs or exports: the transparency matrix marks some cells NOT EXPOSED, for example Notion AI spend and Lovable spend.
- The pricing, features, and FAQ paths return 404; this page rests on the homepage text only.
Common questions
What is Depthdata?
One connected, audit-ready view of AI adoption, spend, and cost per outcome across every AI tool a company uses: connect admin consoles once and Depthdata unifies the data into a single source of truth trusted by finance, IT, and leadership.
Which AI tools does Depthdata connect to?
ChatGPT Enterprise, Claude, Microsoft Copilot, Gemini, Cursor, Perplexity, Notion AI, Slack AI, Mistral, DeepSeek, Grok, and GLM — 16 tools in one ledger, connected through read-only OAuth into the admin consoles already in use.
Does Depthdata read employee prompts?
No. Depthdata is read-only by design: read-only API scopes, no agents on laptops, no browser extensions, nothing to install, and prompts and outputs are never read, in every column of the transparency matrix.
What happens when a vendor exposes no data?
It says so in the transparency matrix: every connector uses the vendor's official admin APIs with read-only scopes, and where a vendor exposes nothing, the matrix marks it NOT EXPOSED — for example, Notion AI spend and Lovable spend are marked not exposed.
How does Depthdata work?
Connect consoles via read-only OAuth, normalize usage, seats, and spend into one governed model, set baselines per department, route insights to each stakeholder, and export to a BI stack or board-ready reports with methodology attached.
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Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.