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POST
/
analysis
/
start
Start analysis
curl --request POST \
  --url 'https://partner-api.ochy-prod.com/analysis/start?apiKey=' \
  --header 'Content-Type: multipart/form-data' \
  --form video='@example-file' \
  --form analysis_type=side_view \
  --form 'subject_id=<string>' \
  --form height=1.75 \
  --form weight=68 \
  --form pace=05:30 \
  --form language=en \
  --form treadmill=false \
  --form full_body=true
{
  "message": "Analysis started for ID: 3dde3402-94d7-462e-a784-9306207108dd",
  "video_id": "3dde3402-94d7-462e-a784-9306207108dd"
}

Authorizations

​
apiKey
string
query
required

Your API key, passed as a query parameter on every request.

Body

multipart/form-data
​
video
file
required

Video file to analyze (max 30 MB, 10 seconds).

​
analysis_type
enum<string>
default:side_view
required

Type of analysis to perform.

Available options:
side_view,
back_view
Example:

"side_view"

​
subject_id
string

Optional subject ID to link this analysis to. See subject management to create subjects.

​
height
number
default:1.7

Runner height in meters.

Example:

1.75

​
weight
number
default:70

Runner weight in kilograms.

Example:

68

​
pace
string

Running pace in MM:SS format. Required when treadmill=true. Optional when treadmill=false (pace is calculated automatically for overground running).

Pattern: ^[0-9]{2}:[0-9]{2}$
Example:

"05:30"

​
language
enum<string>
default:en

Language for analysis results and recommendations.

Available options:
en,
fr,
de,
zh,
ko,
pt,
es,
it,
ja
Example:

"en"

​
treadmill
boolean
default:false

Whether the runner is on a treadmill (true) or running outdoors (false).

Example:

false

​
full_body
boolean
default:true

Include full body analysis. Only affects back_view analysis. When false, only pronation/supination analysis is performed.

Example:

true

Response

Analysis started.

​
message
string
Example:

"Analysis started for ID: 3dde3402-94d7-462e-a784-9306207108dd"

​
video_id
string

Unique identifier for the analysis. Use this to poll for results.

Example:

"3dde3402-94d7-462e-a784-9306207108dd"