Resolving Integration Errors: A Developer's Guide to TG Validator API Troubleshooting

Integrating third-party APIs can be smooth, but even the most well-documented services will occasionally throw errors. When your code fails to see expected results, the difference between a quick fix and a support ticket is often how you interpret the API response envelope.

This guide focuses on troubleshooting common integration hurdles with the TG Validator API, ensuring your application handles status codes and response structures gracefully.

Understanding the Response Envelope

TG Validator uses a structured code / msg / data response envelope. When a request is sent to POST /api/v1/check, the response provides a clear signal regarding the Telegram registration status of an E.164 formatted phone number.

Always parse the envelope before assuming a result. A successful check returns a data.registered boolean, but your error-handling logic should focus on the code and msg fields to identify why a request might have failed.

Common Error Codes and Mitigation

When your implementation encounters an error, do not assume the number is unregistered. Use the following checklist to resolve issues before escalating to support.

1. Authentication Failures (401 / 40100)

If you receive a 40100 code, your request is missing or using an invalid X-API-Key.

• Action: Verify the header spelling. Ensure the key is active in your dashboard. If you suspect the key is compromised or corrupted, generate a replacement in your settings.

2. Balance and Billing (402 / 40200)

This code indicates insufficient balance for the requested check.

• Action: Check your dashboard balance. TG Validator operates on a per-check billing model; ensure your account is topped up. Remember that failed or undetermined checks are automatically refunded, so you are only charged for successful processing.

3. Rate and Concurrency Limits (429 / 42900)

TG Validator enforces a rate limit of 200 requests per minute and a concurrency limit of 3 checks per user.

• Action: If you hit these limits, stop immediate retries. Implement a non-aggressive backoff strategy in your client-side code to stay within the documented limits. Note that these rejections are not charged and do not create a check result.

4. Service Maintenance (503 / 50300)

If the API returns a 50300 error, the service is temporarily unavailable.

• Action: Do not treat this as a negative registration result. Simply retry the request later. Since the check was not completed, your balance remains unaffected.

Debugging Checklist for Support

If you must contact support, providing the right context significantly reduces resolution time. Never include your actual API keys or sensitive credentials in your report. Instead, provide:

• Account Email: The address associated with your workspace.
• Request Context: The transaction_id, service_type, and the approximate timestamp of the failure.
• Redacted Response: The API code and msg from the envelope, with any sensitive data stripped out.

Conclusion

Reliable integration relies on treating the API response as a source of truth. By validating the code field and respecting the concurrency and rate limits, you can build a robust client that handles transient errors gracefully. For further details on managing your keys and monitoring your usage, refer to the official documentation.

This article was drafted with AI assistance and reviewed before publishing.