Upload an image file to detect whether it is human-made or AI-generated. Provide the image content as a base64-encoded string. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For images larger than 4 MB, use classify_image_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeynoCachefileData必填filenamewithNsfwwithHeatmapwithMorphingwithTamperingpreventC2paForces
Submit a publicly accessible image URL to detect whether it is human-made or AI-generated. Returns a classification identifier for result retrieval. Supports the same analysis options as file-based classification. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeynoCacheimageUrl必填withNsfwwithHeatmapwithMorphingwithTamperingpreventC2paForces
Retrieve the classification result for a previously submitted image. Use the identifier returned by classify_image or classify_image_url. Poll this endpoint until the result is available.
输入参数apiKeyidentifier必填
get_all_image_classifications
Retrieve classification results for multiple images in a single request. Accepts up to 100 identifiers. Useful for batch result polling.
输入参数apiKeyidentifiers必填
get_classification_heatmap
Retrieve a visual heatmap highlighting which regions of the image were detected as AI-generated. Requires the classification to have been submitted with withHeatmap enabled.
输入参数apiKeyidentifier必填
override_image_classification
Manually override the classification verdict for a previously classified image. Sets the result to either "human" or "artificial". Used for corrections and feedback.
输入参数apiKeyidentifier必填classification必填
Upload a video file to detect whether it is human-made or AI-generated. Provide the video content as a base64-encoded string. The video is split into frames which are individually classified. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For videos larger than 10 MB, use classify_video_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeyframesnoCachefileData必填filenamewithNsfwkeyFrameswithAudiowithMorphingwithTamperingkeyFramesMethod另有 2 个
Submit a publicly accessible video URL for AI-generated content detection. Supports the same frame extraction and analysis options as file-based classification. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeyframesnoCachevideoUrl必填withNsfwkeyFrameswithAudiowithMorphingwithTamperingkeyFramesMethodpreventC2paForces另有 1 个
Retrieve the classification result for a previously submitted video. Poll until the result is ready — video classification is always asynchronous.
输入参数apiKeyidentifier必填
get_all_video_classifications
Retrieve classification results for multiple videos in a single request. Accepts up to 100 identifiers.
输入参数apiKeyidentifiers必填
override_video_classification
Manually override the classification verdict for a previously classified video. Sets the result to either "human" or "artificial".
输入参数apiKeyidentifier必填classification必填
Upload an audio or speech file to detect whether it is human-recorded or AI-synthesized. Provide the audio content as a base64-encoded string. Returns a classification identifier for async result retrieval. WARNING: base64 encoding adds ~33% overhead to the original file size. For audio files larger than 10 MB, use classify_audio_url instead and provide a publicly accessible URL to avoid payload size issues. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeynoCachefileData必填filenamepreventC2paForces
Submit a publicly accessible audio URL for AI-generated speech detection. Returns a classification identifier for async result retrieval. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数refIdapiKeynoCacheaudioUrl必填preventC2paForces
Retrieve the classification result for a previously submitted audio file. Poll until the result is ready.
输入参数apiKeyidentifier必填
get_all_audio_classifications
Retrieve classification results for multiple audio files in a single request. Accepts up to 100 identifiers.
输入参数apiKeyidentifiers必填
override_audio_classification
Manually override the classification verdict for a previously classified audio file. Sets the result to either "human" or "artificial".
输入参数apiKeyidentifier必填classification必填
Retrieve the current available and used classification credits for the authenticated Identifai account. Use this to check quota status before submitting large batches.
输入参数apiKey
Submit one or more ticket images (as base64-encoded strings) to the Identifai v2 API for batch tampering detection. Each ticket is analysed independently; results are retrieved asynchronously via get_tampering_batch_results using the returned batch_id. Supports PDF files (each page becomes a separate analysis entry). Maximum 10 tickets per batch. Authentication: provide your Identifai API key via the apiKey parameter or configure the X-Api-Key HTTP header in your MCP client (recommended).
输入参数apiKeymodelsrefIdstickets必填filenames
get_tampering_batch_results
Retrieve the tampering detection results for a previously submitted batch of tickets. Poll until the "done" field is true. Each result contains a verdict ("authentic" or "tampered") and per-heuristic verdicts.
输入参数apiKeybatchId必填
