App and game review analyzer showing what users love, why they leave and what they ask for
Independent price comparison of scraping APIs, proxies, browser infrastructure and search APIs for AI agents
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
Not given
Pricing model
Freemium
Free
Pricing
Free: 3 reports per month up to 500 reviews each, no card needed. Pro: $19 per month or $190 per year, up to 5,000 reviews per report. Max: $49 per month or $490 per year, up to 25,000 reviews per report.
Free to use; affiliate relationships with Firecrawl, ScraperAPI, Apify, Context.dev, ScrapingDog and SearchApi may earn commissions on purchases through labelled affiliate links.
Key features
Shows what users love with praise themes
Identifies complaint themes ranked by share and severity
Extracts feature requests sorted by type and theme
Tracks sentiment changes over time with weekly and monthly trends
Identifies review bombs and spikes by code
Shows audience segments like new users versus veterans
Connects to App Store Connect and Play Console to reply to reviews
Integrates with Claude, Codex or Cursor via MCP in beta
Normalized price comparison across 21 vendors
243 price points with transparent formulas
Free cost calculator for monthly bill estimation
Real-time price change tracking and notifications
Machine-readable API feeds (JSON, CSV)
Verification status per vendor (full or partial)
Head-to-head product comparisons
Use-case specific price guides
What makes it different
Every number opens the reviews it was counted from, so findings are verifiable
Uses fixed questions and code counting rather than estimated numbers from chatbots
Covers Steam games alongside App Store and Google Play apps
Priced for individuals rather than teams requiring procurement
Independent rankings never influenced by vendors or affiliate relationships
Transparent methodology showing all formulas and assumptions
Prices pulled from official vendor pages with verification dates
Gaps explicitly marked rather than inverted or assumed
Machine-readable data feeds for automation and LLM use
OneStar
FetchIndex