p202 ltv mrr

Subscription economics — active MRR/ARR, status counts, monthly churn with its inputs

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p202 CLI reference

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01Run it

Replace the <placeholders> with your own values, or use the builder below.

p202 ltv mrr

02What you get

Captured from the real binary, run against a demo store with 30 days of traffic. Switch tabs to see the same run as JSON, the shape scripts and agents parse.

p202 ltv mrr
$ p202 ltv mrr
active_subscriptions:  45
arr:                   17448
canceled_total:        7
churn_inputs:          {"at_risk_population":52,"canceled_in_window":7,"window_days":90}
monthly_churn_rate:    0.0449
mrr:                   1454
past_due:              0
paused:                0
trialing:              0
Real output · p202 1.9.77 · demo dataexit 0

03Build your command

Pick values and the command line writes itself, quoted and ready to paste.

p202 ltv mrr

Set flags below; the command updates as you type.

04For agents

Running this from an agent

  • Read the same facts as JSON: p202 commands ltv mrr --json.
  • With AI_AGENT, CLAUDECODE or another agent variable set, output is compact JSON and errors arrive on stderr as a JSON envelope with a hint.
  • Exit codes: 0 ok, 1 bad input, 2 auth, 3 network, 4 server error, 5 partial failure.
p202 commands ltv mrr --json
{
  "path": "p202 ltv mrr",
  "use": "mrr",
  "short": "Subscription economics — active MRR/ARR, status counts, monthly churn with its inputs",
  "runnable": true
}