Research answer
What AppTrendKit can say about KQ Sampei 26 today
KQ Sampei 26 has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.8.1
- Released
- Oct 1, 2025
- Last updated
- Aug 19, 2026
- Content rating
- 4+
- Default storefront
- CA
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
KQ Sampei is a powerful sampler synthesizer for iOS that allows you to load and switch sound sets with ease. It supports multi-timbral operation across multiple MIDI channels, giving you rich flexibility for music production and live performance. Key Features - Supports SoundFont (sf2), Compressed SoundFont (sf3), and Downloadable Sound (DLS) formats - Multi-timbral operation across multiple MIDI channels with high polyphony depending on device performance - Compatible with GM, GS, XG, and MPE MIDI message sets - Plays Standard MIDI Files (SMF) and RIFF MIDI Files with multiple ports and loop support - AUv3 for use with GarageBand, AUM, Cubasis, and other apps - Micro-tuning with AnaMark TUN files for alternate tuning systems - Load on Demand / Streaming mode for handling large sound sets beyond device RAM limits - Supports external and virtual MIDI connections - Includes “GeneralUser GS v1.471” sound set with prepared modifiers - No user data collection beyond what iOS/iPadOS inherently collects Perfect For - MIDI/DTM users who want to play old SMF/GS/XG files - Musicians using SoundFont or DLS libraries - Mobile producers looking for a plugin synth with deep customization - Users needing micro-tuning or alternate temperament support Tips - For best compatibility with other SoundFont players, use Engine V3 and disable Custom GS Controllers, Slow LPF, and Smooth Volume Level. - With large sound sets, streaming mode is recommended. Machine generated text is included in this application and description.
Store creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 11:17 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:17 PM.
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