Products

Deepask

AI-nativeMCP

Obsidian AI chat plugin enhances knowledge management

deepask.vip Chrome Web StoreProductivity & Collaboration / Notes & Knowledge Management

AI Benchmark
Desktop
Mobile
Monthly visits
None yet
No traffic data yet
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
$29.9/mo
Higher than 95% of peersNiche median $7.5/mo
Creators
LifeOS for Obsidian
@quanruzhuoxiu· 2,613 followers
Launched
14mo ago
2025-09-15 · Est.

Traffic

MCP Server & Agent Ecosystem

GitHub · MCP / Skill

Store data

Chrome Web Store
Chrome Web Store Chrome Web Store
Update date not synced
Rating
Rating not syncedRating count not synced
New ratings last mo
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Price & IAP
FreeIAP data not synced
Current version
—Store metadata

Store assets, rating histograms, install tiers, and screenshots are synced from Apple App Store, Google Play, and Chrome Web Store.

Traffic sources

Traffic breakdown

No traffic channel or country breakdown data for this website yet.

Search

Domain authority —Domain registered 2025-06-30

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Pro Version
$29.90
Support up to 5 devices!

Trial: None · Observed 2026-11-07 · Source page

Entry price $29.9/mo, Higher than 95% of peers; “Notes & Knowledge Management” median is $7.5/mo.View pricing benchmark

Pages & changes

Tracked since 2025-09-15

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much does Deepask cost?
Pro Version: $29.90. Observed 2026-11-07. Check the source for current billing terms, usage limits and taxes.Source
What is Deepask and what platforms does it support?
Deepask is catalogued under Notes & Knowledge Management: Obsidian AI chat plugin enhances knowledge management. Supported platforms: Browser Extension, MCP Server.

Related products in this category

Productivity & Collaboration / Notes & Knowledge Management

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.