Calculate Sample Size

Work out how many documents to randomly sample to estimate a proportion (e.g. richness or elusion) at a target confidence level and margin of error, with finite

liveverifiedunknown~5s typical

mcpprobedediscoverydecodernews/calc

$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-ediscoverydecoder-mcp /calculate_sample_size for me.

Input

Field	Type	Description
population_size*	integer
confidence_level	number	default 0.95
margin_of_error*	number
estimated_prevalence	number	default 0.5

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-ediscoverydecoder-mcp","endpoint":"/calculate_sample_size","input":{"population_size":1,"confidence_level":0.95,"margin_of_error":1,"estimated_prevalence":0.5}}'

cli

npx cracked-ai run -p mcp-com-ediscoverydecoder-mcp -e /calculate_sample_size -i '{"population_size":1,"confidence_level":0.95,"margin_of_error":1,"estimated_prevalence":0.5}'

mcp

run_tool({ provider: "mcp-com-ediscoverydecoder-mcp", endpoint: "/calculate_sample_size", input: {"population_size":1,"confidence_level":0.95,"margin_of_error":1,"estimated_prevalence":0.5} })

Try it

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