Competitive Analysis of Million-Level Number Screening Task Capabilities: Which Large-Scale Number Verification Platform is Best?

In the practice of overseas customer acquisition, the number of phone numbers to be verified at once can often reach hundreds of thousands or even millions. For operations teams, a platform that allows submitting 1 million numbers in a single task means no need to split files and saves repetitive operation time. The platform’s support for million-level tasks—including task limits, system queuing, billing models, activity detection accuracy, and data export efficiency—often determines the success or failure of the selection. This article will compare the large-scale task processing capabilities of mainstream platforms such as thdata, 007data, and KK-DATA from the perspective of actual execution scenarios, helping teams make efficient and compliant decisions.

Why Million-Level Number Screening Tasks Can Test a Platform’s True Capabilities

A single verification task of 1 million numbers tests the platform in every aspect:

• System Concurrency & Queuing Strategy: Can the platform allocate resources for large tasks during peak hours? Will there be long queues or task downgrades?
• Balance Deduction Logic: Pre-deduction or post-deduction? Will the task fail directly if the balance is insufficient? How to avoid losing partial results due to balance interruption?
• Customer Support: When encountering task anomalies (e.g., missed numbers, corrupted results), can you quickly get human assistance?

In practice, some platforms claim to support large tasks on the surface, but after actual submission, they may be restricted or require batching, greatly reducing efficiency. Therefore, comparing the real performance of each platform at the million-level scale is a necessary step before purchasing.

Comparison of Maximum Task Capacity per Submission Among Major Platforms

thdata’s Task Limits and Common Feedback

thdata does not publicly disclose the maximum number of phone numbers per task. According to user community feedback, it is usually necessary to split 1 million numbers into 10–20 slices for batch submission. While feasible, this approach increases file management costs and the tedious steps of merging results. Additionally, thdata has an extra fee policy for high-priority tasks during peak hours, which is not friendly for budget-sensitive large-scale verification needs.

007data’s Task Capacity and Queuing Situation

007data officially claims to support larger tasks, but in actual use, tasks exceeding 500,000 numbers often need to wait for several hours or even half a day to start execution. Its task queue has strict restrictions on free or low-level accounts, and it does not support task pause or resume. If you submit 1 million numbers during peak hours, the queuing time may exceed 6 hours, affecting scheduling.

KK-DATA’s Support Details for 1 Million Number Tasks

KK-DATA explicitly supports a maximum of approximately 1 million numbers per single task. Users can directly upload one CSV/TXT file without needing to split it themselves. After submission, the system pre-evaluates the cost and estimates the detection time (usually tens of minutes to several hours). Once the task is completed, notifications are sent via Telegram or in-app messages. In addition, KK-DATA’s “Data Deduplication Warehouse” feature can automatically filter duplicate numbers across tasks, avoiding repeated detection and saving balance—this is extremely useful for teams that need to submit different customer lists multiple times.

Platform	Single Task Limit	Need to Batch?	Estimated Queue Time	Deduplication Support
thdata	Not disclosed (users report need to batch)	Yes	Medium	No automatic cross-task dedup
007data	Not disclosed (actual limit ~500k)	Yes (>500k requires waiting)	Long (peak hours)	No
KK-DATA	~1 million	No	Short (task queue sorting)	Supported (dedup warehouse)

Impact of Billing Models on Cost for Million-Level Tasks

Subscription Plans vs. Pay-as-You-Go: Which is More Flexible?

thdata and 007data mainly use monthly subscription plans, e.g., $X per month includes Y million detection quota, with overages charged per number. This model can be very uneconomical for a one-time 1 million number task: if you only run one 1 million task this month, you may need to purchase next month’s plan or pay high overage fees, resulting in idle costs. In contrast, KK-DATA uses a balance recharge + per-number deduction method, with no subscription threshold—pay for what you use, and the balance can be used long-term. For a single large-scale task, simply recharge the corresponding amount without bearing the fixed cost of a monthly plan.

Impact of Insufficient Balance on Tasks

• Subscription-based platforms: Usually, when the balance is insufficient, all tasks are paused until the user purchases a new plan or recharges. Some platforms interrupt tasks midway due to quota depletion, returning only partial results—a very poor user experience.
• Pay-as-you-go platform: KK-DATA displays the estimated total deduction before submitting a task and automatically checks if the balance is sufficient. If insufficient, the task cannot be submitted, avoiding mid-way suspension. The balance is deducted only after task completion, and unused balance remains available.

Data Export and Cross-Task Deduplication Efficiency

When exporting million-level tasks, operations teams care most about:

• Format Support: CSV and TXT are the basics. But more important are the export fields—whether they include tgid, wsid, gender tags, activity status, and other metadata.
• File Size Limits: Some platforms limit single export files to 100MB, requiring multiple downloads for million-level results.
• Cross-Task Deduplication: If you submit lists containing the same numbers multiple times, automatic deduplication can avoid repeated charges.

KK-DATA supports CSV and TXT export, with fields including tgid, wsid, activity tags, and gender (based on avatar recognition). Its “Data Deduplication Warehouse” function automatically compares across different tasks: when uploaded numbers have been verified in previous tasks, the system skips detection and returns the previous results without charging. This significantly reduces costs for scenarios involving multiple customer lists or phased verification.

Accuracy Comparison of Activity and Gender Recognition

“Active users” is a key indicator for targeting, but different platforms define it very differently. For example:

• thdata only provides a “7-day active” tag, with no adjustable window.
• 007data provides a “30-day active” tag but cannot customize the window.
• KK-DATA supports 7/15/30 day activity windows, allowing users to choose based on business scenarios (promotional event timeliness, cold start, etc.). Gender recognition is based on avatar analysis, with an accuracy of about 90% in tests.

In practice, it is advisable to cross-compare 1,000 known numbers first: submit the numbers to several platforms, then manually verify some to see which platform’s activity tags are closer to real user behavior.

Console Ease of Use and Automation Support

Can the submission process for million-level tasks be simplified? Here is a comparison:

• Upload Limits: thdata limits single CSV files to 10MB; 1 million numbers would need to be split into 5–8 files; 007data limits to 20MB; KK-DATA supports files up to 100MB, allowing one upload.
• Task Progress Visualization: thdata only shows a percentage without estimated time remaining; 007data has a simple progress bar; KK-DATA provides detailed status (queuing, detecting, completed) and estimated time.
• Notification Mechanisms: thdata supports email notifications; 007data offers email or Telegram; KK-DATA defaults to sending completion notifications via Telegram and also supports in-app messages.
• API Support: All three platforms provide API interfaces, but only KK-DATA’s API documentation publicly lists endpoints for task submission, querying, exporting, etc. (see official documentation).

Payment Methods and Anonymity (for Overseas Teams)

For cross-border overseas teams, payment convenience and anonymity are important considerations:

Platform	Payment Methods	Minimum Recharge	Anonymity
thdata	Credit Card, PayPal	~50 USD	General (requires registration info)
007data	Credit Card, USDT (contact support)	~100 USD	Medium
KK-DATA	USDT (TRC20) direct recharge	~50 USDT	Supports anonymity (only TG account needed)

KK-DATA supports direct recharge via USDT-TRC20, which credits the balance automatically without manual review. This is especially suitable for teams that value privacy.

Summary: Which Platform to Choose Based on Batch Size and Scenario?

Based on different business needs, here are the selection recommendations:

• One-time million-level verification (e.g., pre-campaign screening): Choose KK-DATA first. Its task limit matches, no need to batch, and per-number billing avoids plan waste.
• Ongoing daily number screening (e.g., continuous community growth): If the duplicate rate is high, choose a platform with a deduplication warehouse to save 30%–50% in costs. KK-DATA’s pay-as-you-go model is more flexible than subscription plans.
• Budget-sensitive: Avoid the fixed cost of subscription plans. Choose a pay-as-you-go model and enable deduplication and custom activity windows to screen high-value numbers.
• Accuracy priority: Value the selectivity of activity windows and gender recognition accuracy. It is recommended to test with a small batch first.

Overall, KK-DATA has differentiated advantages in task capacity (~1 million), deduplication warehouse, pay-as-you-go billing, and USDT payments, making it suitable for overseas teams with efficiency and cost requirements. Welcome to log in to the KK-DATA Console to experience the million-level task submission process; check the official documentation for detailed billing and parameters; or contact @kkdata_cc via Telegram for personalized scenario consultation.

Frequently Asked Questions

Q: Can thdata screen 1 million numbers at once?
A: thdata has not officially disclosed its single-task limit. User feedback indicates that batching is usually required. It is recommended to ask their customer service directly or check the console limits.

Q: Which is better for million-level tasks, 007data or KK-DATA?
A: Both support larger scales. KK-DATA explicitly supports about 1 million numbers per task and offers a cross-task deduplication warehouse, effectively reducing duplicate detection costs. It is recommended to make a comprehensive judgment based on unit price, activity recognition accuracy, and export format.

Q: How long does it take to screen 1 million numbers?
A: The time depends on the platform’s server load, detection type (only verification vs. activity+gender), and queue status. Usually, it takes tens of minutes to several hours. Some platforms provide progress notifications and queue time estimates.

Q: What should I pay attention to when exporting after large-scale screening?
A: Check whether the export format includes metadata like tgid/wsid, gender, etc.; export in batches to avoid oversized files; and see if the platform supports automatic filtering of duplicate numbers.

Q: How to avoid wasting balance on duplicate number detection?
A: Prioritize platforms with a “data deduplication warehouse” feature, such as KK-DATA, which can automatically deduplicate across tasks; you can also deduplicate locally before uploading.