Errors

The EyeQuant API handles errors in two ways:

HTTP status codes – Whenever an error directly relates to a HTTP request, we return an appropriate status. A code in the 400 to 499 range indicates an error than can be resolved by the client, whereas codes 500 to 599 indicate errors on the server-side.
Structured information in the JSON response body – Where possible, we also include a textual error code and a specific error message in the JSON response.

Example error:

HTTP/1.1 401 Unauthorized
...

{
  "error": {
    "code": "authentication_failed",
    "message": "We were unable to authenticate you. Please check your credentials."
  }
}

A list of common errors – concrete errors may contain more information in the message field:

code	description
`client_error`	Generic client error. Something is wrong with the request.
`server_error`	Generic server error. There's been an error in our system. We have been alerted about this and are probably already looking into it.
`resource_gone`	The resource under the requested URL is no longer accessible. See Result expiry.
`authentication_failed`	Missing or incorrect API credentials. Please check your API key.
`over_capacity`	The service is currently unavailable. See API Status for up-to-date status information.
`invalid_input_configuration`	We could not start an analysis based the provided `input` object. The error message should contain more detailed information.
`could_not_grab_web_page`	We attempted to fetch the web page specified in the input, but were unable to capture it. This could be due to a number of issues, including: an error in the URL, the web page timing out, or an error during rendering. To work around this issue, re-try the analysis or use an `image` input instead.
`blank_input_image`	The input image is completely blank – a single, solid color. Unfortunately, we cannot make meaningful predictions on such images.
`unreadable_input_image`	We were unable to read the input image, either because the format is not supported, or because the image is truncated or corrupted. See Image formats and limitations for supported formats.
`invalid_input_image_dimensions`	The dimensions of the input image are either too small or too large. See Image formats and limitations for dimension limits.