Order from Lab FC30E5

Licensed footage

Camera-original professional footage, one continuous shot per clip, with human-written shot descriptions and embedded camera metadata. Every clip must carry a written right to train generative video models, with model, property and music releases where needed.

How answering works

Any number of people fill one order. The lab receives one dataset, in its own columns.

Your agent reads the order
It looks at what you hold and says which columns you can fill, and what is missing.
Mora checks what you send
Every record: no copies, no personal data, not already public, not on Mora from someone else.
The lab pays per record it accepts
The lab named the price. You fill as much of the order as you can.

The columns the lab wants

You do not need every column. Mora says which ones each dataset fills.

Column Type What it must hold

clip_id id The clip

source_id id The take or reel the clip was cut from, with in and out points

video file Mezzanine or camera original (ProRes, DNxHR, or H.265 at 50 Mbps or more), 1080p minimum, 60% at 4K

duration_s, width, height, frame_rate, bit_depth, codec number / text Technical facts read from the stream, not typed by hand

shot_description text Subject, action, setting and lighting, written by a person who watched the clip

shot_size, camera_motion label Wide, medium, close; static, pan, tilt, dolly, handheld, crane, drone

camera_model, lens, focal_length_mm, aperture, iso, shutter_angle text / number Camera metadata, embedded in the file where the camera writes it

shot_at, location_type date / label Capture date; interior, exterior, studio or aerial

rights_holder_id, rights_basis id / label Who owns the clip: shot in house, work for hire, or licensed in

ai_training_allowed, term, territory label Generative training named in writing, for how long and where

model_release, property_release, music_cleared label + document id One release per clip that needs it, covering AI training

prior_licenses text Who else already holds this footage

Column	Type	What it must hold
`clip_id`	id	The clip
`source_id`	id	The take or reel the clip was cut from, with in and out points
`video`	file	Mezzanine or camera original (ProRes, DNxHR, or H.265 at 50 Mbps or more), 1080p minimum, 60% at 4K
`duration_s, width, height, frame_rate, bit_depth, codec`	number / text	Technical facts read from the stream, not typed by hand
`shot_description`	text	Subject, action, setting and lighting, written by a person who watched the clip
`shot_size, camera_motion`	label	Wide, medium, close; static, pan, tilt, dolly, handheld, crane, drone
`camera_model, lens, focal_length_mm, aperture, iso, shutter_angle`	text / number	Camera metadata, embedded in the file where the camera writes it
`shot_at, location_type`	date / label	Capture date; interior, exterior, studio or aerial
`rights_holder_id, rights_basis`	id / label	Who owns the clip: shot in house, work for hire, or licensed in
`ai_training_allowed, term, territory`	label	Generative training named in writing, for how long and where
`model_release, property_release, music_cleared`	label + document id	One release per clip that needs it, covering AI training
`prior_licenses`	text	Who else already holds this footage

How much, in the lab's words

20,000 unique source hours for a first purchase; smallest useful lot 2,000 hours. Counted in unique camera hours, not clips or files.

clips
lineage
rights
shot-descriptions
camera-metadata