Common Error Messages

An API call that encounters an error ⚠️ will return 0 as its status code and display the cause of the error under the result field.

{
   "status":"0",
   "message":"NOTOK",
   "result":"Max rate limit reached, please use API Key for higher rate limit"
}

Invalid API Key

"Invalid API Key"

This error occurs when you specify an invalid API Key, or use a key from an explorer on a different chain.

To resolve, ensure that you have copy pasted the right key from the right explorer.

New API Keys may also take a moment to be fully activated, so if your fresh key is throwing an error consider waiting for a few minutes.

Max rate limit

"Max rate limit reached, please use API Key for higher rate limit"

This error occurs when you exceed the rate limit assigned to your specific API key.

To resolve, adhere to the rate limits of your available plan by waiting for a certain amount of time before each request. If you are using a script or application, apply throttling to limit the frequency of calls.

Missing or invalid action

"Error! Missing Or invalid Action name"

This error occurs when you do not specify, or specify an invalid module and action name.

To resolve, double check your API query to use a valid module and action name.

If you require some help getting started, try copying the sample queries provided in the API Endpoints and pasting them into your browser.

Endpoint-specific errors

"Error! Block number already pass"

"Error! Invalid address format"

"Contract source code not verified"

These error messages returned are specific to certain endpoints and their related parameters.

To resolve, kindly refer to the specific endpoint's documentation, and check for the correct format or values to be specified as parameters.

Query Timeout

"Query Timeout occured. Please select a smaller result dataset"

This error occurs when you have sent a particularly large query that did not manage to be completed in time.

To resolve, consider selecting a smaller date/block range, though you may ping us if you think the issue may be performance related.