MoFang Data TG Active vs KK-DATA: A Comprehensive Comparison of Telegram Screening, Gender Identification, and TGID Export

Telegram has become an essential channel for overseas marketing and cross-border community operations. After obtaining a batch of phone numbers, the first step is often not about sending messages directly, but determining whether these numbers have activated Telegram, are recently active, the user’s gender, and the ability to export TGID for subsequent group invitations or private messages. On the market, there are tools like MoFang Data TG Active for detection, as well as platform-based screening systems represented by KK-DATA. This article provides a feature-by-feature comparison from dimensions such as activity window settings, gender identification methods, TGID export capabilities, and billing models, helping you quickly determine which is more suitable for your team.

Why Do Overseas Teams Need TG Screening and Activity Detection?

Whether you are doing cross-border e-commerce, promoting independent websites, or operating Telegram communities, the phone numbers you accumulate may include many invalid, silent, or deactivated numbers. Directly sending group invitations or private messages not only wastes costs but may also trigger platform risk controls. Therefore, the core value of batch screening lies in:

• Verifying Activation Status: Confirming whether the number is registered on Telegram.
• Detecting Activity Level: Identifying which numbers have online records within 7, 15, or 30 days, thereby locking in high-value users.
• Gender Identification: Judging user gender based on public information like profile pictures, aiding refined operations (e.g., targeting beauty products to female users).
• Exporting TGID: TGID is Telegram’s internal unique identifier, which can be used for batch contact additions, inviting to groups, calling Bot APIs, etc., providing more stability than phone numbers.

MoFang Data TG Active detection has a certain reputation in the industry, but different tools vary significantly in functional flexibility, data export formats, and billing methods. Let’s break them down below.

Functional Modules of MoFang Data TG Active Detection

MoFang Data primarily offers number cleaning and social platform status detection services, with Telegram detection being one of its core capabilities. According to its official public information, MoFang Data supports:

• Batch detection of whether numbers have activated Telegram.
• Partial activity detection (usually presented as “last online time” or “activity score”).
• Gender identification (usually based on a combined judgment of nickname and profile picture).
• TGID export (output in CSV or TXT format).
• A single task limit of approximately 1 million records, with relatively fast detection speed.

However, regarding specifics like “activity window” customization, gender identification algorithm details, and export field completeness, MoFang Data’s public information is somewhat vague and subject to confirmation on the official console.

MoFang Data Batch Screening and Activity Window Settings

• Activity Window Definition: MoFang Data typically defaults to a specific activity criterion (e.g., logged in within 30 days is considered active), but can users customize the number of days (e.g., 7, 15 days)? According to public information, custom activity windows are not explicitly supported; users can only accept the system’s preset judgment model.
• Single Task Limit: Approximately 1 million (on par with KK-DATA).
• Detection Speed: Specific values are not publicly available; it usually fluctuates based on task complexity.

MoFang Data’s Gender Identification and TGID Export Capabilities

• Gender Identification: MoFang Data claims to support gender identification, but the identification principle is not clearly stated. According to industry practice, most tools rely on nickname keywords and profile picture metadata, with accuracy around 70%–85% (affected by factors like missing profile pictures, neutral nicknames, etc.).
• TGID Export: Exported fields may include phone_number, tgid, status, gender, etc., in CSV or TXT format. However, whether export fields can be freely selected or if there are additional restrictions needs to be confirmed in the console.

Core Function Analysis of KK-DATA Telegram Screening

KK-DATA is a screening platform focused on overseas customer acquisition, offering detection across multiple platforms like Telegram, WhatsApp, iMessage, and RCS. Its Telegram screening module offers the following functions:

• Activation Check (Registration Check): Determines if the number is registered on Telegram.
• Validity Check: Based on activation, further confirms the number isn’t disabled or banned.
• Activity Check: Allows customizing the activity window, supporting 7, 15, 30 days and custom days (e.g., 10, 45 days), offering high flexibility.
• Gender Identification: Based on profile picture recognition (through image feature analysis); outputs “Unknown” for default or no profile pictures, reducing misjudgment.
• TGID Export: Can batch export the TGID field, along with fields like phone number, status, activity level, gender, last active time, etc., in CSV or TXT format.
• Single Task Limit: Approximately 1 million records.
• Notification Mechanism: Sends notifications via a Telegram bot upon task completion.

The entire process from “number generation → screening → deduplication → export” is completed within a single console, eliminating the need to switch tools.

Core Comparison: Activity Window, Gender Identification, and TGID Export

Activity Window Flexibility Comparison

Dimension	MoFang Data TG Active	KK-DATA TG Screening
Custom Activity Days	No public support for customization; typically uses fixed model (e.g., 30 days)	Supports 7, 15, 30 days and custom days
Judgment Basis	Based on last online time	Based on last online time, accurate to the hour
Flexibility Score	★★☆☆☆	★★★★★

Conclusion: If a marketing campaign requires more precise “recent activity” filtering (e.g., targeting users online within the last 3 days for direct messages), MoFang Data’s fixed model may lack flexibility; KK-DATA’s custom window allows you to adjust freely to suit different campaign stages.

Gender Identification Method Comparison

Dimension	MoFang Data TG Active	KK-DATA TG Screening
Identification Principle	Based on nickname keywords + profile picture metadata (speculative)	Based on profile picture analysis (image recognition)
Default Avatar Handling	May misidentify as unknown or random gender	Clearly outputs “Unknown” to avoid interference
Identification Coverage	Approx. 70%–85% (affected by missing profile pictures)	Approx. 75%–90% (higher when profile picture is clear)
Output Field	gender field (Male/Female/Unknown)	gender field (Male/Female/Unknown)

If users’ profile pictures are mostly defaults, KK-DATA’s conservative strategy (outputting “Unknown”) favors data accuracy; MoFang Data’s reliance on nickname guesses may lead to misjudgment.

TGID Export and Subsequent Utilization Comparison

Dimension	MoFang Data TG Active	KK-DATA TG Screening
Export Fields	Call records, status, tgid, etc.	Phone number, tgid, status, activity level, gender, activity time, etc.
Export Format	CSV / TXT	CSV / TXT (option to export only tgid available)
Subsequent Utilization	Can be imported into third-party tools for group invites or private messages	Can be directly utilized with Bot API or custom scripts, fields are complete
Additional Restrictions	Some users report restrictions on the number of export fields	No hidden restrictions; all task results are exported

KK-DATA is more transparent in export field completeness and usability; MoFang Data occasionally experiences field missing or formatting issues.

Billing Model and Usage Threshold Comparison

• MoFang Data: Billing model is mainly based on packages or recharge balances (specific unit prices need to be viewed on the console). Some detection types are charged per record, but a clear price list is not publicly available. No subscription fee, but tasks cannot be submitted with insufficient balance.
• KK-DATA: No subscription package, entirely pay-per-record. Minimum recharge is approximately 50 USDT (TRC20). Estimated cost is displayed before task submission, and a recharge prompt appears if balance is insufficient, preventing overuse. Unit prices are visible on the console’s real-time price page.

For budget-sensitive small teams or studios, KK-DATA’s predictable costs and per-record deduction are more straightforward; MoFang Data’s package model might suit users with a fixed spending amount.

Data Security and Deduplication Function Comparison

Re-detection of the same numbers during screening can waste a lot of balance. Do the two platforms have deduplication capabilities?

• MoFang Data: There is no explicit mention of cross-task number deduplication. Users need to deduplicate manually when uploading numbers; otherwise, the same number may be charged repeatedly across different tasks.
• KK-DATA: Features a built-in data deduplication warehouse. Each uploaded number is automatically compared with historical task records, and duplicate numbers are not charged again (the quota is consumed only once). The deduplication warehouse can be managed independently and records can be deleted after export.

This feature can save significant costs for teams conducting multiple screening rounds over time.

User Experience and After-Sales Support Comparison

• Console Interface: MoFang Data’s console is relatively traditional, with functions presented in a dashboard style; KK-DATA uses a modern UI with real-time task status updates and clear operation flow guidance.
• Documentation & Tutorials: KK-DATA provides comprehensive usage documentation (https://docs.kkdata.cc/), including FAQs and API instructions; MoFang Data has less documentation, relying partially on user group discussions.
• Task Notifications: MoFang Data typically notifies via email; KK-DATA supports Telegram bot push, which aligns very well with the daily habits of overseas teams.
• Customer Support Response: KK-DATA has a dedicated Telegram customer support (@kkdata_cc) with typical response times under 10 minutes on business days; MoFang Data’s support channels are mainly web forms and QQ groups (targeting domestic users).

Frequently Asked Questions

Question: Which is better, MoFang Data or KK-DATA?

Answer: Both have their strengths. MoFang Data’s TG Active detection has some background in number cleaning, but its activity window is fixed, and gender identification accuracy is not very transparent; KK-DATA excels in activity window customization, gender profile picture recognition, TGID export completeness, and the deduplication warehouse, plus offers a more flexible billing model. The choice should be based on your team’s actual needs – whether you need custom activity days, must export TGID, and need pay-per-record budget control.

Question: What is the difference between a 7-day and a 30-day “activity window” in TG screening?

Answer: A 7-day window only selects users who logged in within the last 7 days, suitable for time-sensitive campaigns (e.g., limited-time offers). A 30-day window covers a wider range, including potentially cold users. It’s not a matter of better or worse, but matching different operational strategies. KK-DATA supports customizing any number of days; MoFang Data officially does not confirm this support.

Question: Can TGID exported be directly used for adding to Telegram groups and sending messages?

Answer: Yes. TGID is Telegram’s internal user identifier. It can be used with Bot API (requires bot token) or third-party tools (like Telethon, TDLib) for batch friend adds and messaging. However, be mindful of rate limits; it’s recommended to space out messages to avoid triggering risk controls. It’s advisable to export both phone number and TGID columns for backup purposes.

Question: How accurate is gender identification? How is it determined if the profile picture is the default one?

Answer: Any gender identification based on public information has room for error. KK-DATA uses profile picture recognition; when a user has a default avatar (not uploaded or system default), it marks it as “Unknown” to avoid incorrect judgment. MoFang Data’s gender identification, if reliant on nicknames, can misjudge (e.g., “Alex” might be identified as male when it’s actually female). Overall accuracy is about 70%–90%; it’s recommended to use the gender field only as an auxiliary filter, not a definitive basis.

Question: Without a technical team, which platform is easier to get started with?

Answer: Both platforms offer visual consoles usable without programming. KK-DATA has more comprehensive documentation (https://docs.kkdata.cc/) and a more intuitive interface, plus Telegram notifications upon task completion, reducing monitoring costs. MoFang Data may require joining user groups to learn, making the initial learning curve slightly steeper.

Summary and Selection Recommendations

From the comprehensive comparison, MoFang Data TG Active detection is suitable for teams that have no special requirements for activity window flexibility, trust a fixed model, and prefer package or subscription billing models. In contrast, KK-DATA offers clear advantages in activity window customization, gender identification accuracy, TGID export completeness, cross-task deduplication, and a modern interactive experience. It is particularly well-suited for small and medium-sized overseas enterprises requiring refined operations, pay-per-record billing, and no subscription pressure.

If activity window flexibility, gender differentiation, and TGID export are essential in your business scenario, it is recommended to first try KK-DATA’s free number generation feature (no recharge needed), submit a small sample task to verify results, and experience the complete process.

• Website: https://kkdata.cc/
• Billing Information: https://kkdata.cc/billing/
• Usage Documentation: https://docs.kkdata.cc/
• Console Login: https://app.kkdata.cc/
• Customer Service Telegram: https://t.me/kkdata_cc

For inquiries regarding specific scenario screening solutions, feel free to contact official customer service.