Agents Never Sleep vs Depthdata: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agents Never Sleep and Depthdata — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agents Never Sleep
Agents Never Sleep
A tiny $4.99 Mac menu bar app that keeps long-running AI agents alive with the laptop lid closed, using one three-level slider.
Key features
- Closed-Lid Operation: Keeps agents and background jobs running with the MacBook lid shut, which the built-in caffeinate command cannot do.
- Three-Level Slider: One control with Sleepy, Awake, and Never sleeps settings, so changing sleep behavior takes a single drag rather than a terminal command.
- Menu Bar Only: Lives entirely in the menu bar with no window, dock icon, or configuration screens to manage.
- Native and Tiny: A small native macOS binary rather than a wrapped web app, minimizing overhead on a machine already running agents.
- Zero Data Collection: No telemetry, analytics, or tracking; what runs on the machine stays on the machine.
- Safe Revert: Toggling back down restores normal sleep behavior, avoiding the common mistake of leaving sudo pmset -a disablesleep 1 permanently enabled.
- No-Questions Refund: A 14-day money-back guarantee with no form to fill in and no reason required.
Best for
- Overnight Agent Runs: Letting a coding agent work through a long task while the laptop is closed and put away.
- Long Builds and Tests: Preventing a multi-hour build, test suite, or data job from being interrupted mid-run by sleep.
- Mobile Working: Carrying a MacBook between rooms or offices without propping the lid open to keep a job alive.
- Model Downloads and Training: Keeping large model downloads or local fine-tuning runs going unattended.
- Avoiding pmset Mistakes: Replacing manual sudo pmset toggles that are easy to enable and easy to forget to undo.
- Remote Sessions: Keeping a Mac reachable and working for a remote session or background service while it sits closed on a desk.
D
Depthdata
Depthdata
Read-only AI spend and adoption intelligence — unify ChatGPT, Claude, Copilot, and Gemini admin data into one governed view of usage, cost, and outcomes.
Key features
- Unified AI Data Model: Normalizes usage, seats, and spend from ChatGPT, Claude, Copilot, Gemini, Cursor, Perplexity, and 16+ other tools into one schema.
- Workspace Health Score: A single 0–100 score rolls up adoption, depth, and spend across every AI tool your company uses.
- Cost per Outcome: Reports cost per active user, dormant-seat waste, and model mix using finance-grade math rather than vendor-reported figures.
- Coaching & Nudges: Detects what power users do differently, packages the patterns into playbooks, and routes nudges to the teams leaving value on the table.
- Depth-Based Leaderboards: Scores chained workflows, tool breadth, and retry patterns instead of raw prompt counts — the only way to game it is to get better at AI.
- Confidence-Labelled Analytics: Every KPI carries a confidence label and open methodology so board-deck numbers hold up under follow-up questions.
- Read-Only Admin OAuth: Connects via official admin APIs — no agents on laptops, no browser extensions, and prompts are never read.
- BI & Board Export: Push metrics to your BI stack or export board-ready reports with methodology attached.
Best for
- AI FinOps: CFOs and finance ops track cost per active user, idle-seat waste, and model mix across the entire AI stack in one ledger.
- Executive Reporting: Present the CEO or board a defensible workspace health score with trends and confidence labels instead of vendor screenshots.
- Enablement & Coaching: L&D and team leads target nudges at dormant seats using patterns learned from the workspace's own power users.
- License Right-Sizing: IT identifies which seats belong on premium tiers and which are already optimal, using measured depth-of-use.
- Cross-Tool Governance: Central IT gets one governed view of adoption and spend across ChatGPT, Claude, Copilot, Gemini, and future AI tools as they're added.