Custom Text Classification (zero-shot)

Zero-shot text classification — define your labels at call time. No training, no data upload. Brainiall Custom Classifier engine. Returns {top_label, scores, c

liveverifiedunknown~5s typical

mcpprobedbrainiallnlp

$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-nlp /classify_text_custom for me.

Input

Field	Type	Description
text*	string	Input text
labels*	array	Your candidate labels (2-20 of them)
multi_label	boolean	If True, multiple labels can apply default false

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-nlp","endpoint":"/classify_text_custom","input":{"text":"...","labels":[],"multi_label":false}}'

cli

npx cracked-ai run -p mcp-com-brainiall-nlp -e /classify_text_custom -i '{"text":"...","labels":[],"multi_label":false}'

mcp

run_tool({ provider: "mcp-com-brainiall-nlp", endpoint: "/classify_text_custom", input: {"text":"...","labels":[],"multi_label":false} })

Try it

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