Enhanced image moderation: Synchronous multi-service detection API-AI Guardrails(AI Guardrails)-阿里云帮助中心

This topic describes how to perform multi-service detection using the Image Moderation 2.0 API. You can pass multiple service parameters in a single API call to invoke multiple detection services at once.

API features

The Image Moderation Pro API identifies content in images that may violate content policies, disrupt community order, or degrade the user experience. It supports 60+ risk labels and 100+ risk control items. Use the rich risk labels and confidence scores from Content Moderation's Image Moderation Pro to further moderate images based on your platform's content policies or industry-specific requirements. For more information, see Introduction to Image Moderation Pro 2.0 and Billing.

Getting started

Sign up for an Alibaba Cloud account: Sign up now and complete the registration.
Activate Content Moderation on a pay-as-you-go basis: Ensure you have activated the service. Activation is free of charge. Once you make API calls, you are automatically billed for your usage. For more information, see Billing.You can also purchase a resource plan to cover your usage. Compared with the post-paid model, resource plans offer tiered discounts and are ideal for users with predictable or high usage.
Create an AccessKey pair: Ensure you have created an AccessKey pair in RAM. If you use a RAM user's AccessKey, use your main account to grant the AliyunYundunGreenWebFullAccess permission to that RAM user. For more information, see RAM authorization.
Integrate with your app: We recommend using an SDK to call the API. For detailed instructions, see Enhanced Image Moderation 2.0 SDK and Integration Guide.

Usage notes

Call this API to create an image content moderation task. To learn how to construct HTTP requests, see Make HTTP requests. For pre-configured requests, see Getting Started.

API operation: ImageBatchModeration

Supported regions and endpoints:

Region	Public endpoint	Internal endpoint	Supported services
China (Shanghai)	https://green-cip.cn-shanghai.aliyuncs.com	https://green-cip-vpc.cn-shanghai.aliyuncs.com	baselineCheck baselineCheck_pro tonalityImprove aigcCheck profilePhotoCheck postImageCheck advertisingCheck liveStreamCheck aigcViolationDetection baselineCheckByVL postImageCheckByVL adCheckByVL
China (Hangzhou)	https://green-cip.cn-hangzhou.aliyuncs.com	https://green-cip-vpc.cn-hangzhou.aliyuncs.com	baselineCheck baselineCheck_pro tonalityImprove aigcCheck profilePhotoCheck postImageCheck advertisingCheck liveStreamCheck aigcViolationDetection baselineCheckByVL postImageCheckByVL
China (Beijing)	https://green-cip.cn-beijing.aliyuncs.com	https://green-cip-vpc.cn-beijing.aliyuncs.com	baselineCheck baselineCheck_pro tonalityImprove aigcCheck profilePhotoCheck postImageCheck advertisingCheck liveStreamCheck aigcViolationDetection baselineCheckByVL postImageCheckByVL adCheckByVL
China (Shenzhen)	https://green-cip.cn-shenzhen.aliyuncs.com	https://green-cip-vpc.cn-shenzhen.aliyuncs.com	baselineCheck baselineCheck_pro tonalityImprove aigcCheck profilePhotoCheck postImageCheck advertisingCheck liveStreamCheck aigcViolationDetection baselineCheckByVL postImageCheckByVL
China (Chengdu)	https://green-cip.cn-chengdu.aliyuncs.com	Not available	baselineCheck baselineCheck_pro tonalityImprove aigcCheck profilePhotoCheck postImageCheck advertisingCheck liveStreamCheck aigcViolationDetection baselineCheckByVL postImageCheckByVL

Billing:
This is a billable operation. Billing applies only to successful requests that return an HTTP status code of 200. For billing details, see Billing.
Image requirements:
- Supported image formats: PNG, JPG, JPEG, BMP, WEBP, TIFF, SVG, HEIC, GIF, and ICO. For HEIC images, the longest side must be less than 8,192 px. For GIF images, the system processes only the first frame. For ICO files, the system processes only the last image.
- The image size cannot exceed 20 MB. The height or width cannot exceed 16,384 px, and the total number of pixels cannot exceed 167 million px. For best results, the image resolution should be at least 200 × 200 pixels. A lower resolution may affect the accuracy of the content moderation algorithm.
- The image must download within 3 seconds. If the download takes longer than 3 seconds, the API returns a download timeout error.

QPS limits

The QPS limit for this API is 100 for a single user. API calls exceeding this limit will be rate-limited, which may impact your business. If you require a higher QPS for high-volume use cases or urgent scaling, contact your account manager.

Debug

Before integration, use Alibaba Cloud OpenAPI to debug the ImageBatchModeration API. You can find sample code and SDK dependencies to help you quickly understand the API's usage and parameters.

Important

The online debugging feature uses your logged-in account to call the content moderation API. API calls during debugging are counted toward your billable usage.

Request parameters

For information about the required common request parameters, see Common parameters.

The request body is a JSON object that contains the following fields:

Parameter

Type

Required

Example

Description

Service

String

Yes

baselineCheck,tonalityImprove

The detection services available for Image Moderation Enhancement. Valid values:

baselineCheckByVL: Image Moderation Service Based on LLMs
postImageCheckByVL: Image Moderation for Large and Small Model Integration
postImageCheckByVL_cb: Image Moderation for Large and Small Model Integration_For regions outside the Chinese mainland
baselineCheck: BaselineCheck
baselineCheck_pro: baselineCheck_pro
baselineCheck_cb: Common Baseline Moderation_For regions outside the Chinese mainland
tonalityImprove: TonalityImprove
tonalityImprove_cb: Content Governance Moderation_For regions outside the Chinese mainland
aigcCheck: AIGC Image Risk
aigcCheck_cb: AIGC Image Risk Detection (Outside Chinese Mainland)
profilePhotoCheck: Profile Photo Check
postImageCheck: Post Comment Image Moderation
advertisingCheck: Advertising Check
liveStreamCheck: Live Stream Check
riskDetection: Moderate Images for Malicious Content
riskDetection_cb: Moderate Images for Malicious Content (Outside Chinese Mainland)

Note

For the differences between services, see Service description. For AIGC-specific services, see AIGC-specific detection service. You can specify multiple services. Separate them with commas (,). For example, baselineCheck,tonalityImprove performs both the baseline check and Content Governance Detection.

ServiceParameters

JSONString

Yes

A collection of parameters for the content to be moderated. This parameter must be a JSON string. For more information about the fields in the string, see ServiceParameters.

Table 1. ServiceParameters

Parameter	Type	Required	Example	Description
imageUrl	String	Yes. Image Moderation Enhancement supports three methods for specifying an image. You must use one of the following methods: To use an image URL for detection, specify the `imageUrl` parameter. To use an image from an authorized OSS bucket for detection, you must specify `ossBucketName`, `ossObjectName`, and `ossRegionId`. Upload a local image for detection. This method does not use your OSS storage space, and the uploaded file is stored for only 30 minutes. The SDK has a built-in feature for this purpose. For code examples, see Image Moderation Enhancement 2.0 SDK and integration guide.	https://img.alicdn.com/tfs/TB1U4r9AeH2gK0jSZJnXXaT1FXa-2880-480.png	The URL of the image to be moderated. The URL must be publicly accessible. The URL cannot exceed 2,048 characters in length. Note The URL cannot contain Chinese characters. You can specify only one URL per request.
ossBucketName	String		bucket_01	The name of the authorized OSS bucket. Note To use an internal OSS endpoint for an image, you must first use your Alibaba Cloud account to grant access on the cloud resource access authorization page.
ossObjectName	String		2022023/04/24/test.jpg	The name of the file in the authorized OSS bucket.
ossRegionId	String		cn-beijing	The region where the OSS bucket is located.
dataId	String	No	img123****	The unique identifier for the object to be moderated. The data ID can contain letters, digits, underscores (_), hyphens (-), and periods (.), and cannot exceed 64 characters in length. This ID can be used to uniquely identify your business data.
referer	String	No	www.aliyun.com	The Referer request header. This is used for scenarios such as anti-hotlinking. The header cannot exceed 256 characters in length.
infoType	String	Yes	customImage,textInImage	The type of supplementary information to retrieve. Valid values: customImage: Matches from your custom image library. textInImage: Text content found in the image. publicFigure: Matched public figures. logoData: Matched logos. You can specify multiple values. Separate them with commas (,), for example, `customImage,textInImage`. This returns matches from the custom image library and text found in the image. Note Public figure and logo information is returned only when using an advanced image moderation service. For more information, see Service description.

Response data

Parameter	Type	Example value	Description
RequestId	String	70ED13B0-BC22-576D-9CCF-1CC12FEAC477	The unique request ID generated by Alibaba Cloud. Use this ID to troubleshoot issues.
Data	Object		The image moderation results. For more information, see Data.
Code	Integer	200	The status code. For more information, see Status codes.
Msg	String	OK	The response message.

Table 2. Data

Parameter	Type	Example value	Description
Result	Array		The moderation results, such as the overall risk label and confidence score. For more information, see Result.
RiskLevel	String	high	The risk level, determined by the configured score thresholds. Valid values: `high`: high risk `medium`: medium risk `low`: low risk `none`: no risk detected Note We recommend taking immediate action on `high`-risk content and manually reviewing `medium`-risk content. Process `low`-risk content only if a high recall rate is required. Otherwise, treat it the same as content with no detected risk. You can configure the score thresholds in the Content Moderation Console.
DataId	String	img123******	The data ID of the moderated object. Note Returns the value of the `dataId` request parameter, if provided.
Results	Array		The detailed moderation results for each service. For more information, see Results.

Table 3. Result

Parameter	Type	Example value	Description
Label	String	violent_explosion	The moderation label. An image can have multiple labels and scores. For a list of supported labels, see: Supported labels for baselineCheck Supported labels for baselineCheck_pro Supported labels for baselineCheck_cb Supported labels for tonalityImprove Supported labels for aigcCheck Supported labels for aigcCheck_cb Supported labels for profilePhotoCheck Supported labels for postImageCheck Supported labels for advertisingCheck Supported labels for liveStreamCheck Supported labels for riskDetection and riskDetection_cb Note For labels related to the Content Moderation LLM service, see the Risk Label Glossary for Content Moderation LLM Service.
Confidence	Float	81.22	The confidence score. A value from 0 to 100, accurate to two decimal places. Some labels do not have a confidence score. For more information, see Risk label definitions.
Description	String	Fireworks-related content	A description of the `Label` parameter. Important This parameter provides a human-readable description of the `Label`. For programmatic processing, use the `Label` parameter because this description is subject to change.

Table 4. Results

Parameter	Type	Example value	Description
Service	String	baselineCheck	The name of the moderation service used.
RiskLevel	String	high	The risk level, which is determined based on the configured score thresholds. Valid values: `high`: high risk `medium`: medium risk `low`: low risk `none`: no risk detected
Result	Array		The moderation results, including the risk labels and confidence scores. For more information, see Result.
Ext	Object		The extended information about the image. For more information, see Extended information.

Extended information

Table 5. Ext

Parameter	Type	Example value	Description
CustomImage	JSONArray		Information about matched custom image libraries. This parameter is returned if the image matches an entry in a custom library. For more information, see CustomImage.
TextInImage	Object		Text detected in the image. For more information, see TextInImage.
PublicFigure	JSONArray		Information about public figures recognized in the image. This parameter is returned if a public figure is recognized. For more information, see PublicFigure.
LogoData	JSONArray		Information about matched logos. For more information, see LogoData.

Table 6. CustomImage

Parameter	Type	Example value	Description
LibId	String	lib0001	The ID of the matched custom image library.
LibName	String	Custom Image Library A	The name of the matched custom image library.
ImageId	String	20240307	The ID of the matched custom image.

Table 7. TextInImage

Parameter	Type	Example value	Description
OcrResult	JSONArray		The information about each line of text recognized in the image. For more information, see OcrResult.
RiskWord	StringArray	[ "risk word 1", "risk word 2"]	Risk fragments detected in the image text. This parameter is returned when a `tii` (text in image) label is matched.
CustomText	JSONArray		Information about matched custom text libraries. This parameter is returned if the text hits a custom text library. For more information, see CustomText.

Table 8. OcrResult

Parameter	Type	Example value	Description
Text	String	Recognized text line 1	The content of a line of text recognized in the image.

Table 9. CustomText

Parameter	Type	Example value	Description
LibId	String	test20240307	The ID of the matched custom text library.
LibName	String	Custom text library A	The name of the matched custom text library.
KeyWords	String	Keyword 1	The matched custom keywords.

Table 10. PublicFigure

Parameter	Type	Example value	Description
FigureName	String	John Doe	The name of the recognized public figure.
FigureId	String	xxx001	The ID of the recognized public figure. Note Some public figures are identified by `FigureName`, while others are identified by `FigureId`. We recommend checking `FigureName` first; if it is empty, use `FigureId`.
Location	JSONArray		The location of the public figure. For more information, see Location.

Table 11. LogoData

Parameter	Type	Example value	Description
Logo	JSONArray		The logo information. For more information, see Logo.
Location	Object		The location of the logo. For more information, see Location.

Table 12. Logo

Parameter	Type	Example value	Description
Name	String	DingTalk	The name of the logo.
Label	String	logo_sns	The matched label.
Confidence	Float	88.18	The confidence score.

Table 13. Location

Parameter	Type	Example value	Description
X	Float	41	The x-coordinate (in pixels) of the upper-left corner of the region. The origin (0,0) is at the upper-left corner of the image.
Y	Float	84	The y-coordinate (in pixels) of the upper-left corner of the region. The origin (0,0) is at the upper-left corner of the image.
W	Float	83	The width of the region, in pixels.
H	Float	26	The height of the region, in pixels.

Examples

Sample request

{
    "Service": "baselineCheck,tonalityImprove",
    "ServiceParameters": {
        "imageUrl": "https://img.alicdn.com/tfs/TB1U4r9AeH2gK0jSZJnXXaT1FXa-2880-480.png",
        "dataId": "img123****"
    }
}

Sample response

If the system detects risk content:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Label": "violent_explosion",
                "Confidence": 81.88,
                "Description": "Fireworks-related content"
            },
            {
                "Label": "sexual_partialNudity",
                "Confidence": 98.18,
                "Description": "Partial nudity or sexually suggestive content"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Label": "violent_explosion",
                        "Confidence": 81.88,
                        "Description": "Fireworks-related content"
                    },
                    {
                        "Label": "sexual_partialNudity",
                        "Confidence": 98.18,
                        "Description": "Partial nudity or sexually suggestive content"
                    }
                ],
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If the system detects no risk content:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "none",
        "Result": [
            {
                "Label": "nonLabel",
                "Description": "No risks detected"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Label": "nonLabel",
                        "Description": "No risks detected"
                    }
                ],
                "RiskLevel": "none",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "nonLabel",
                        "Description": "No risks detected"
                    }
                ],
                "RiskLevel": "none",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If the image is found in the image exemption library:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "none",
        "Result": [
            {
                "Label": "nonLabel_lib",
                "Confidence": 83.18,
                "Description": "Matched an image in the image exemption library"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Label": "nonLabel_lib",
                        "Confidence": 83.18,
                        "Description": "Matched an image in the image exemption library"
                    }
                ],
                "RiskLevel": "none",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "nonLabel_lib",
                        "Confidence": 83.18,
                        "Description": "Matched an image in the image exemption library"
                    }
                ],
                "RiskLevel": "none",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-1234-1234-1234-1234XYZ"
}

Additional information

If an image matches a custom image library:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Confidence": 100.0,
                "Label": "pornographic_adultContent_lib",
                "Description": "Adult content: Matched a custom image library"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Confidence": 100.0,
                        "Label": "pornographic_adultContent_lib",
                        "Description": "Adult content: Matched a custom image library"
                    }
                ],
                "Ext": {
                    "CustomImage": [
                        {
                            "ImageId": "12345",
                            "LibId": "TEST20240307",
                            "LibName": "Risk Image Library A"
                        }
                    ]
                },
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If text in an image matches a custom text library:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Confidence": 99.0,
                "Label": "pornographic_adultContent_tii_lib",
                "Description": "Text contains pornographic content: Matched a custom text library"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Confidence": 99.0,
                        "Label": "pornographic_adultContent_tii_lib",
                        "Description": "Text contains pornographic content: Matched a custom text library"
                    }
                ],
                "Ext": {
                    "TextInImage": {
                        "CustomText": [
                            {
                                "KeyWords": "custom keyword 1",
                                "LibId": "TEST20240307",
                                "LibName": "Text Denylist A"
                            }
                        ],
                        "OcrResult": [
                            {
                                "Text": "Text line 1"
                            },
                            {
                                "Text": "Text line 2"
                            },
                            {
                                "Text": "Text line 3 containing a custom keyword"
                            }
                        ],
                        "RiskWord": null
                    }
                },
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If the text in an image contains a violation:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Confidence": 89.15,
                "Label": "political_politicalFigure_name_tii",
                "Description": "Text contains the name of a political figure"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Confidence": 89.15,
                        "Label": "political_politicalFigure_name_tii",
                        "Description": "Text contains the name of a political figure"
                    }
                ],
                "Ext": {
                    "TextInImage": {
                        "CustomText": null,
                        "OcrResult": [
                            {
                                "Text": "Text line 1"
                            },
                            {
                                "Text": "Text line 2"
                            },
                            {
                                "Text": "Text line 3 containing risk words"
                            }
                        ],
                        "RiskWord": [
                            "risk word 1"
                        ]
                    }
                },
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If logo data is detected:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Confidence": 96.15,
                "Label": "pt_logotoSocialNetwork",
                "Description": "Social media platform logo"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Confidence": 96.15,
                        "Label": "pt_logotoSocialNetwork",
                        "Description": "Social media platform logo"
                    }
                ],
                "Ext": {
                    "LogoData": [
                        {
                            "Location": {
                                "H": 44,
                                "W": 100,
                                "X": 45,
                                "Y": 30
                            },
                            "Logo": [
                                {
                                    "Confidence": 96.15,
                                    "Label": "pt_logotoSocialNetwork",
                                    "Name": "CCTV"
                                }
                            ]
                        }
                    ]
                },
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

If a public figure is detected:

{
    "Msg": "OK",
    "Code": 200,
    "Data": {
        "DataId": "img123****",
        "RiskLevel": "high",
        "Result": [
            {
                "Confidence": 92.05,
                "Label": "political_politicalFigure_3",
                "Description": "Provincial or municipal government official"
            },
            {
                "Label": "pt_programCode",
                "Confidence": 70.11,
                "Description": "mini program code"
            }
        ],
        "Results": [
            {
                "Result": [
                    {
                        "Confidence": 92.05,
                        "Label": "political_politicalFigure_3",
                        "Description": "Provincial or municipal government official"
                    }
                ],
                "Ext": {
                    "PublicFigure": [
                        {
                            "FigureId": null,
                            "FigureName": "John Doe",
                            "Location": [
                                {
                                    "H": 520,
                                    "W": 13,
                                    "X": 14,
                                    "Y": 999
                                }
                            ]
                        }
                    ]
                },
                "RiskLevel": "high",
                "Service": "baselineCheck"
            },
            {
                "Result": [
                    {
                        "Label": "pt_programCode",
                        "Confidence": 70.11,
                        "Description": "mini program code"
                    }
                ],
                "RiskLevel": "high",
                "Service": "tonalityImprove"
            }
        ]
    },
    "RequestId": "ABCD1234-2024-0307-8888-666ZHY"
}

Note

The sample requests and responses are formatted for readability. Actual responses are not indented and do not have line breaks.

Risk tag definitions

See the Risk Tag Definition Table for descriptions of all risk tags. You can enable or disable each risk tag in the console. Some risk tags also let you configure a more granular detection scope. For detailed instructions, see the Console Operation Guide.

Note

We recommend storing the risk tags and confidence scores that the system returns. You can then use this data to prioritize tasks for manual review or labeling and to implement tiered content moderation policies.

Response codes

This table describes the API response codes. You are only billed for successful requests that return a 200 code.

Code	Description
200	The request was successful.
400	The request parameters are empty.
401	The request parameters are invalid.
402	A request parameter has an invalid length. Check the parameter and retry the request.
403	The request rate exceeds the QPS limit. Check and adjust your concurrency.
404	Failed to download the image due to an error or timeout. Verify the image URL and try again.
405	The image download timed out, possibly because the image is inaccessible. Check its access settings and try again.
406	The input image is too large. Reduce the image size and try again.
407	The input image format is not supported. Convert the image and try again.
408	Permission to call this API was denied. This can occur if the service is not activated, the account has an overdue payment, or the account lacks authorization.
500	A system error occurred.