Accurate corporate tax identification is critical for maintaining financial compliance and streamlining the invoicing process. Manual entry of Taxpayer Identification Numbers (TIN) or Unified Social Credit Codes often results in clerical errors, leading to voided invoices and administrative overhead. Implementing an automated lookup and completion service via a RESTful API mitigates these risks by providing verified data directly from authoritative business registries.

Core Capabilities

Modern invoicing APIs offer several key technical advantages for enterprise resource planning (ERP) and billing systems:

• Comprehensive Data Coverage: Access to a vast database including corporate names, Unified Social Credit Codes, legal representative identities, and incorporation dates.
• Fuzzy Search Logic: The ability to retrieve full corporate profiles using partial strings or keywords, facilitating intelligent auto-completion in user interfaces.
• High Availability: Optimized for high-concurrency environments, ensuring that real-time billing applications remain responsive.
• Standardized Integration: JSON-based responses and RESTful architecture allow for seamless integration across diverse tech stacks.

Common Implementation Scenarios

1. Billing Interface Optimization: Automatically populating tax fields as soon as a user starts typing a company name in a checkout or invoicing portal.
2. Vendor Master Data Validation: Verifying the tax status and registration details of new suppliers during the onboarding phase.
3. Automated Customer Support: Enhancing chatbots with the ability to provide instant tax information to users requesting invoices.
4. Compliance Auditing: Cross-referencing internal financial records against live registry data to ensure all tax identifiers remain valid and active.

Technical Documentation

Endpoint Specification

Requests are handled via the GET method over HTTPS to ensure data security during transmission.

• Base URL: https://www.xujian.tech/atlapi/data/c/query/like
• Request Format: GET

Query Parameters

Parameter	Type	Required	Description
code	String	Yes	Developer authorization token acquired via the platform dashboard.
keyword	String	Yes	The search string (e.g., full or partial company name, or tax ID).

Integration Example

In a Python environment, the enterface can be consumed using the requests library. This approach allows for easy handling of JSON payloads and error states.

import requests

def fetch_corporate_data(api_token, search_query):
    api_url = "https://www.xujian.tech/atlapi/data/c/query/like"
    request_params = {
        "code": api_token,
        "keyword": search_query
    }
    
    try:
        response = requests.get(api_url, params=request_params)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as error:
        return {"error": str(error)}

# Usage example
company_info = fetch_corporate_data("YOUR_ACCESS_CODE", "Technology Solutions LLC")
print(company_info)

Response Schema

The API returns a structured JSON object. The data array contains matching entities discovered during the lookup.

{
    "code": 200,
    "msg": "succeed.",
    "data": [
        {
            "id": "5582",
            "createdAt": 1695260987000,
            "matchType": "Company_Name",
            "regNo": "500113014353471",
            "startDate": "2021-06-02",
            "name": "Chongqing Kele Interior Design Co., Ltd.",
            "operName": "Li Lunzhi",
            "creditNo": "91500113MAABRA7D0H",
            "type": "0"
        }
    ]
}

Implementation Best Practices

• Token Management: Store the authorization code in environment variables or a secure vault rather than hard-coding it in your source files to prevent unauthorized usage.
• Debouncing User Input: When implementing auto-complete features in a frontend UI, utilize a debounce function to limit the frequency of API calls while the user is typing.
• Error Handling: Implement robust logic to handle non-200 HTTP status codes, such as rate limits (429) or authentication failures (401).
• Keyword Sanitization: Ensure that search terms are properly URL-encoded to handle special characters or spaces within corporate names.