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Bulk verify business entity authenticity and data consistency using company names, unified social credit codes, and legal representatives.
Input Format
One record per line, format: Unified Social Credit Code Legal Representative Name Enterprise Name
Supports space, comma, tab separators
• Supports up to 1000 records per batch
• Automatic Unified Social Credit Code validation after clicking 'Next'
• If deduplication is enabled, duplicate records will be removed automatically
When you need to verify the authenticity of a large number of business entities, manual checking is not only inefficient but also prone to errors. By connecting to authoritative corporate registry APIs, this tool bulk verifies the three core elements you provide: Company Name, 18-digit Unified Social Credit Code, and Legal Representative Name. It quickly returns the matching status and official registration details for each record, effectively identifying fake or outdated business data.
Q: What does "Partial Match" mean in the verification results?
A: This indicates that out of the three pieces of information submitted, some match the official records while others do not. For example, if the company name is correct but the legal representative or credit code is wrong, the tool will return the correct official information for your comparison.
Q: How many records can be processed at once?
A: Up to 1,000 records per batch. If you need to process larger volumes, please do so in multiple batches.
Please ensure that the inputted company name, 18-digit unified social credit code, and legal representative name are accurate. We recommend using UTF-8 encoding for your files to prevent garbled text. Your data is only used for real-time verification and will not be stored. Please note that a "Not Found" result may be due to delayed data updates or incorrect information; we recommend cross-checking with other channels.
For users in finance, supply chain, and compliance sectors, we recommend regularly bulk verifying partner or customer databases to ensure ongoing data accuracy. For example, entering "Test Technology Co., Ltd." / "91310000MA1FL01X1A" / "John Doe" might return a "Match"; whereas entering "Old Name Co., Ltd." / "91310000MA1FL01X1A" / "John Doe" might return a "Partial Match" and indicate that the official company name is "New Test Technology Co., Ltd.".
