# 4. Explanation of Data Update Frequency

# Explanation of Data Update Frequency

This section explains the data update policy of the FoxData API (external specifications) to help callers properly configure caching, refresh cycles, and fault-tolerance logic.

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## 1. Basic Principles of Update Frequency (External Specifications)

Data update frequency is influenced by the following factors:

- **Module Differences**: Different functional modules have varying data sources and calculation methods, resulting in differences in update frequency.
- **Regional Differences**: Data volume and source coverage vary across different countries/regions, which may lead to different update frequencies.
- **Data Activity**: When an application exhibits higher traceable signals in a specific market (e.g., chart visibility, active comments, search activity), related data is typically updated more promptly; conversely, the refresh frequency may be reduced.

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## 2. Update Frequency List (by Module)

> The table below describes “typical” scenarios. Actual frequencies may vary due to `region` coverage, API parameters (time range/pagination), data source fluctuations, etc.

| Module/Capability | Example Data Scope | Update Frequency (Typical) | Notes |
|---|---|---|---|
| App Basic Information | Title/Icon/Description/Category, etc. | Low frequency (hourly to daily) | Metadata changes infrequently; suitable for caching |
| App Extended Information | Developer/Price/In-App Purchases/Size/Language, etc. | Low frequency (hourly to daily) | May be more frequent when prices or in-app purchases change |
| Charts and Rankings | Real-time charts/historical charts/ranking sequences | Medium-to-high frequency (minutes to hours) | Typically more timely for mainstream markets and trending apps |
| Rating Trends | Average rating/star distribution trends | Medium frequency (hours to days) | Related to review volume and activity |
| Review Details | Review List/Developer Replies | Medium-to-High Frequency (Minute-to-Hourly) | May be affected by pagination and task processing |
| Keyword-Related | Rankings/Indexes/Result Counts/Opportunities, etc. | Medium Frequency (Hourly to Daily) | Affected by region and keyword popularity |
| Visibility/Trend-Related | Visibility Scores/Trend Sequences | Medium Frequency (Hourly to Daily) | Metrics-based data is typically not real-time |
| Download/Revenue Estimates | Estimated Downloads/Estimated Revenue | Low-frequency (primarily daily) | Estimation models/statistical metrics; update frequency is relatively lower |
| ASA/Advertising-related (Task-based) | Monitoring tasks and results | Task-driven (generated per task) | “No data available/Task not completed” may occur; handle according to API documentation |

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## 3. Relationship Between “Region” and “Popularity” in External Documentation

To assist callers in understanding, the platform recommends managing data timeliness based on the following expectations:

- **Mainstream Markets** (e.g., the U.S., China, the U.K., Japan, South Korea, and other countries/regions): Updates are typically more timely.
- **Non-mainstream Markets**: Update frequency may be lower, and delays may be more pronounced.
- **Trending Applications**: Updates are generally more timely within relevant modules.
- **Long-tail Applications**: Update frequency may be lower.

> Recommendation: If your business relies heavily on minute-level timeliness, please prioritize validation in mainstream markets and align expectations regarding timeliness and coverage with the support team before launch.

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