> ## Documentation Index > Fetch the complete documentation index at: https://docs.gowinston.ai/llms.txt > Use this file to discover all available pages before exploring further. # Advanced AI image Detection > Runs an advanced forensic analysis on a public image URL. The API authenticates the caller with a bearer token, checks the user's credit balance, analyzes the image, charges 500 credits after a successful analysis, and returns a structured forensic report. ## OpenAPI ````yaml POST /v2/advanced-image-detection openapi: 3.0.1 info: title: Winston AI API description: Winston AI API specification license: name: MIT version: 4.11.4 servers: - url: https://api.gowinston.ai/ security: - bearerAuth: [] paths: /v2/advanced-image-detection: post: description: >- Runs an advanced forensic analysis on a public image URL. The API authenticates the caller with a bearer token, checks the user's credit balance, analyzes the image, charges 500 credits after a successful analysis, and returns a structured forensic report. requestBody: description: The Advanced Image Detection request body content: application/json: schema: $ref: '#/components/schemas/AdvancedImageDetectionRequest' required: true responses: '200': description: Advanced Image Detection response content: application/json: schema: $ref: '#/components/schemas/AdvancedImageDetectionResponse' '400': description: >- Bad Request — image_url is missing, empty, malformed, not a string, or fails public URL validation. content: application/json: schema: type: object properties: error: type: string default: Invalid URL provided description: type: string default: The URL provided is not a valid public image URL. '401': description: >- Unauthorized — the Authorization header is missing, malformed, or the token is unknown. content: application/json: schema: type: object properties: error: type: string default: Unauthorized description: type: string default: >- Missing or invalid authentication token, please provide a valid token in the Authorization header. '403': description: Forbidden — the user does not have at least 500 credits. content: application/json: schema: type: object properties: error: type: string default: Insufficient credits description: type: string default: >- The user does not have enough credits to perform this action. '500': description: >- Internal Server Error — the analysis pipeline failed or did not produce a successful response. content: application/json: schema: type: object properties: error: type: string default: >- Error while analyzing image, please try again later or contact support components: schemas: AdvancedImageDetectionRequest: type: object required: - image_url properties: image_url: description: >- Public HTTP or HTTPS URL of the image to analyze. The API rejects empty values, non-string values, URLs without a hostname, URLs with embedded credentials, `localhost`, `.localhost`, and direct private or reserved IP addresses. type: string example: https://example.com/image.png AdvancedImageDetectionResponse: type: object properties: status: type: integer description: >- Internal analysis status from the image analysis pipeline. The external HTTP status for a successful API request is 200 OK. example: 200 cost: type: integer description: >- Number of credits charged for this API request. Current value is 500. example: 500 language: type: string description: Language used for the generated analysis text. example: en title: type: string description: Short generated title describing the analyzed image. example: Portrait of a Person tags: type: array description: >- Tags extracted or inferred from the image metadata and analysis pipeline. items: type: string example: - portrait - face tool_used: type: array description: >- List of internal forensic tool IDs used during the analysis. Possible values include `classify_image`, `extract_metadata`, `ela_image`, `residual_noise_maps`, `edge_anomaly_heat_map`, and `cfa_pattern_analysis`. items: type: string example: - classify_image - extract_metadata - ela_image label: type: string description: Final classification label for the image. enum: - AI-Generated - Human example: AI-Generated confidence: type: string description: Confidence level for the final classification. enum: - High - Moderate - Low example: High authenticity: type: string description: Final authenticity assessment. enum: - Authentic - Manipulated example: Manipulated conclusion: type: string description: Short final conclusion summarizing the forensic result. example: The image shows strong indicators of AI generation. analysis: type: string description: >- Complete human-readable forensic analysis, including a summary of the tools used and their findings. tools_used_analysis: type: array description: >- Per-tool analysis results. Each item contains the tool ID, a generated explanation of that tool's result, and the underlying tool output. items: type: object properties: id: type: string description: >- Internal ID of the forensic tool. Examples: `extract_metadata`, `classify_image`, `ela_image`. example: extract_metadata analysis: type: string description: >- Natural-language explanation of what the tool result indicates. example: The metadata is stripped of EXIF and C2PA information. result: description: >- Structured tool output when the tool returns data, such as metadata or classification scores. For generated image artifacts (e.g. ELA heatmaps), this is a temporary presigned S3 URL valid for 5 minutes. oneOf: - type: object - type: string balance: type: integer description: >- User's remaining credit balance after the successful request is charged. example: 9500 securitySchemes: bearerAuth: type: http scheme: bearer ````