Get last processed N frames from stream

liveunknown~3s typical

streamvisagecloud

$0.0020

per call

plus $0.001 platform fee per run

Public API, no upstream charge

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run oa-visagecloud-com /rest/v1.1/stream/frames for me.

Input

Field	Type	Description
accessKey*	string	The accessKey provided by VisageCloud default null
secretKey*	string	The secretKey or readOnlyKey provided by VisageCloud default null
streamId*	string	The id of the stream for which the frames will be retrieved default null
count	integer	How many frames to retrieve at a time default 10
collectionId	string	The collection id you want to run recognition against default null
labels	array	Labels associated with the given picture or picture URL default null
attributeFilters	array (NO_FILTER \| GENDER_FILTER \| AGE_GROUP_FILTER)	Filters that will be applied on the recognition operation default null

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"oa-visagecloud-com","endpoint":"/rest/v1.1/stream/frames","input":{"accessKey":"...","secretKey":"...","streamId":"...","count":10,"collectionId":"...","labels":[],"attributeFilters":"NO_FILTER"}}'

cli

npx cracked-ai run -p oa-visagecloud-com -e /rest/v1.1/stream/frames -i '{"accessKey":"...","secretKey":"...","streamId":"...","count":10,"collectionId":"...","labels":[],"attributeFilters":"NO_FILTER"}'

mcp

run_tool({ provider: "oa-visagecloud-com", endpoint: "/rest/v1.1/stream/frames", input: {"accessKey":"...","secretKey":"...","streamId":"...","count":10,"collectionId":"...","labels":[],"attributeFilters":"NO_FILTER"} })

Try it

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