Calculate Prevalence Or Richness

Estimate how rich or prevalent a population is — the share that is responsive/relevant/positive — from positive hits in a random sample, with a Wilson confidenc

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_prevalence_richness for me.

Input

Field	Type	Description
positive_hits*	integer
sample_size*	integer
population_size	integer
confidence_level	number	default 0.95

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_prevalence_richness","input":{"positive_hits":1,"sample_size":1,"confidence_level":0.95}}'

cli

npx cracked-ai run -p mcp-com-ediscoverydecoder-mcp -e /calculate_prevalence_richness -i '{"positive_hits":1,"sample_size":1,"confidence_level":0.95}'

mcp

run_tool({ provider: "mcp-com-ediscoverydecoder-mcp", endpoint: "/calculate_prevalence_richness", input: {"positive_hits":1,"sample_size":1,"confidence_level":0.95} })

Try it

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