$ ctc verify <file.csv> <out.csv>
Scheduled deliverability sweep
0.02 credits per row
ContactCTL for RevOps
RevOps owns data quality but rarely owns the tools that decay it. ContactCTL makes contact hygiene an operation: scheduled verification passes, gap-filling enrichment, an auditable credit ledger, and spend caps that hold without a procurement cycle.
Data quality projects die in spreadsheet purgatory
The cleanup always starts the same way: export everything, split it across tabs, assign owners, watch it stall. Manual hygiene does not survive contact volume, and annual data-vendor contracts give you a fixed bill for usage nobody can see.
ContactCTL inverts both problems. Hygiene becomes a scheduled job your agent runs — verify the active segment monthly, whois the bounces, find the replacements. Spend becomes a ledger you can read: every action is a line item in ctc usage, every batch stops at its --max-cost, and credits are one number that finance understands.
Outputs are deterministic CSVs with row order preserved, so the import back into the CRM is a mapping you write once.
One shell.
The whole workflow.
The monthly hygiene job
One scheduled run keeps the active database honest. The ledger shows exactly what it cost and why.
$ ctc verify active-contacts.csv active-contacts.csv
done: 4,200 rows verified
charged: 84 credits
$ ctc usage
balance: plan 612 · top-up 250 · total 862
recent: verify ×4,200 · find ×38 · whois ×12
Plan credits are spent first, then top-ups, oldest first. The dashboard shows the same ledger, so the numbers you report are the numbers finance sees.
Commands in,
credits out.
Every command reports its credit cost in the output. Preview any spend with --estimate at zero cost.
$ ctc whois <file.csv> [out.csv]
Re-resolve people behind bounces
1 credit per row found
$ ctc usage
Balance and spend ledger
free
$ ctc find <in.csv> <out.csv> --max-cost N
Capped gap-filling
1 credit per row found
Full datasheet: credit costs in the docs · plan pricing on /pricing.