Create a moderation inference

post

https://api.bynn.com/v1/moderation/infer

Submit content for moderation using the specified model

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Body Params

model

string

required

The model API name to use for moderation (e.g., nudity-detection, violence-detection)

content

string

Text content to moderate (for text models)

image_url

string

URL of the image to moderate (for image models)

base64_image

string

Base64-encoded image data (alternative to image_url)

base64_pdf

string

Base64-encoded PDF data (for OCR model, billed per page)

video_url

string

URL of the video to moderate (for video models)

base64_video

string

Base64-encoded video data (alternative to video_url)

audio_url

string

URL of the audio to moderate (for audio models)

base64_audio

string

Base64-encoded audio data (alternative to audio_url)

metadata

object

Additional metadata for the inference

idempotency_key

string

Idempotency key for request deduplication

image_urls

array of strings

Array of image URLs (for batch image processing)

image_urls

base64_images

array of strings

Array of base64-encoded images (for batch image processing)

base64_images

fps

int32

1 to 10

Defaults to 4

Frames per second to extract from video (1-10)

distance_threshold

float

Defaults to 0.5

Face matching distance threshold (0.3-0.7, lower = stricter)

extract_faces

boolean

Defaults to false

Extract cropped face PNG for best match

Response

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Credentials

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Response

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201Create a moderation inference