Bulk email and phone verification, duplicates merged, role accounts and suppressed domains removed, missing emails found through a waterfall of licensed sources, and the clean result written back to the CRM or sequence tool with the status on every row. The infrastructure under contact verification, run by autonomous AI agents.
Valid, catch-all, risky, invalid and role account, each labeled with the reason so a sequence loads only what should send.
Missing or invalid emails re-found through licensed sources and verified again before the row counts.
A find that returns nothing bills nothing; only found, verified contacts count.
Merges, removals and updates in the CRM are staged as a batch a person approves; verification itself never waits.
Nobody checks the list before it loads, so the first send is the test. Every invalid address costs a send, a bounce and a little of the domain’s reputation, and the good addresses in the same batch pay for it.
One record from the webinar import, one from the rep, one from the old tool and one with a typo. Reporting counts four, sequences hit the same inbox twice, and nobody owns the merge.
When the verifier says invalid the row is deleted. The person still works there with a new address, and the only tool that could re-find it is in a different tab with its own credits.
Every address checked for syntax, domain, mailbox and catch-all behavior, labeled valid, catch-all, risky, invalid or role; phones checked for format, type and country where a source can confirm them.
Invalid and missing emails re-found through a waterfall of licensed sources using the person’s name, company and domain, then verified again before the row is counted; free when nothing is found.
Records merged on email, name and domain with the best field from each; info@ and sales@ style accounts removed; customers, competitors and the workspace suppression list applied.
Merges, removals and new addresses staged as a CRM batch or a clean CSV, with the verification status and date on every row so the next load can trust it.
A CSV, a saved list, a sequence tool audience or a CRM segment. Column mapping is inferred from headers.
Emails lowercased, names and companies normalized, domains resolved, duplicates merged with the best field from each record kept.
Every email and phone checked and labeled; role accounts flagged; catch-all domains identified.
Invalid and missing emails re-found through the waterfall and verified again; rows that cannot be found stay labeled instead of guessed.
Customers, competitors, opted-out addresses and the workspace suppression list removed, with the count reported.
A clean CSV, or a CRM batch of merges, removals and updates staged for one approval, with status and date on every row.
Five thousand rows from an old export verified, deduplicated and re-found, the valid ones loaded into Instantly paused and the catch-all ones held in a separate list for a slower cadence.
Every contact in HubSpot grouped by email, name and domain, duplicates merged with the best fields kept, and the merge batch staged with a before-and-after on each group.
All active contacts re-verified on a schedule, people who left flagged with the signal, replacements found where the account matters, the update staged for approval.
A target list with direct phones found and checked for type and country, mobile numbers marked, invalid ones dropped, exported for the dialer.
| By hand | With AstroFabric | |
|---|---|---|
| When it happens | At send time, via the bounce | Before the load, labeled per row |
| Invalid rows | Deleted | Re-found through the waterfall and verified again |
| Duplicates | Four records per person | Merged with the best fields, diff shown |
| Role accounts | Sequenced like people | Flagged and removed |
| Suppression | A spreadsheet somebody keeps | Applied on every run from the CRM and the workspace list |
| Write-back | Overwrite the CRM and hope | A staged batch with status and date, one approval |
A file verified, deduplicated and suppressed, invalid emails re-found through the waterfall, returned as a clean CSV with a status on every row.
Contacts grouped and merged with the best fields kept, role accounts removed, the merge batch staged in HubSpot with a before-and-after per group.
Active contacts re-verified every quarter, leavers flagged and replacements found, the update staged in Pipedrive and summarized in Slack.
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
Checking, re-finding and deduplicating run inside the credit ceiling with no gate. Merges, removals and updates in the CRM are staged as a batch for a person to approve.
Invalid and held rows keep their label and reason; the agents never silently drop a record, and every merge shows the fields it kept.
Unsubscribed and opted-out addresses from the CRM and sequence tools are honored and never re-found or re-added.
Re-found emails and phones come from licensed providers. The agents never scrape member networks or send test messages to verify an address.
The layer that makes a contact list trustworthy before it is used: emails and phones verified in bulk and labeled, duplicates merged, role accounts and suppressed domains removed, missing addresses re-found through a waterfall of licensed sources, and the clean result written back to the CRM or sequence tool after approval.
Valid, catch-all, risky, invalid and role account, each with the reason. Valid rows load; catch-all and risky rows are held and labeled so you decide; invalid rows are re-found through the waterfall and verified again before they return to the list.
For each invalid or missing address the agents use the person’s name, company and domain to ask licensed sources in turn, verify whatever comes back and keep only a valid result. A lookup that finds nothing costs nothing and the row keeps its label.
Records are grouped on normalized email, name and canonical domain, then merged with the best field from each record kept, most recent wins on conflicts. The batch shows a before-and-after for every group before a person approves it in the CRM.
Yes. Numbers are checked for format, type and country where a licensed source can confirm them, mobile numbers marked for calling, and direct phones found for rows without one. Phone finding is billed only when a number is found, and invalid numbers are dropped from the call sheet.
Yes. Connect HubSpot, Pipedrive, Attio or Zoho CRM, choose the segment or the whole contact object, and the agents verify, dedupe and suppress on a schedule. Every change is staged for approval, opted-out contacts are never touched, and a summary of each run posts to Slack.
Verification is a fraction of a credit per address, a re-found and verified email is a few credits, and deduplication, suppression, exports and write-backs are free. Rates show before the run, misses cost nothing, and plans start at $49 per month.
Upload the list or connect the CRM. Every row comes back labeled, deduplicated and re-found where possible, and the write-back waits for one approval.