Analyze Sentiment

Analyze text sentiment. Returns positive/negative classification with confidence scores. Brainiall Sentiment engine-based with sub-10ms latency. Multiple domai

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 /analyze_sentiment for me.

Input

Field	Type	Description
text*	string	Text to analyze for sentiment (positive/negative)
model	string	Model variant: 'general' (default), 'financial', 'twitter' default "general"

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":"/analyze_sentiment","input":{"text":"...","model":"general"}}'

cli

npx cracked-ai run -p mcp-com-brainiall-nlp -e /analyze_sentiment -i '{"text":"...","model":"general"}'

mcp

run_tool({ provider: "mcp-com-brainiall-nlp", endpoint: "/analyze_sentiment", input: {"text":"...","model":"general"} })

Try it

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