Identify Speaker (1:N)

1:N identification — rank everyone enrolled in the group against this clip. Returns: dict with keys: candidates (list of {speaker_id, similarity}, best fir

liveverifiedunknown~5s typical

mcpprobedbrainiallpronunciation

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-brainiall-pronunciation /voice_id_identify for me.

Input

Field	Type	Description
audio*	string	Base64-encoded WAV of the clip to identify
group_id*	string	The group/namespace to search within
top_k	integer	How many candidate speakers to return default 5

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-brainiall-pronunciation","endpoint":"/voice_id_identify","input":{"audio":"...","group_id":"...","top_k":5}}'

cli

npx cracked-ai run -p mcp-com-brainiall-pronunciation -e /voice_id_identify -i '{"audio":"...","group_id":"...","top_k":5}'

mcp

run_tool({ provider: "mcp-com-brainiall-pronunciation", endpoint: "/voice_id_identify", input: {"audio":"...","group_id":"...","top_k":5} })

Try it

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