Our own productData pipelinesAutomationMarketing and sales
Our own product.
Bulk list-cleaning services return a single score at a price, and say nothing about why. Running our own outbound meant we needed something cheaper that also explained itself, especially on catch-all domains, which accept mail for any address and so defeat a plain mailbox check.
Data pipelineOutbound and email
A Python engine that checks addresses in bulk, with DNS checks, catch-all detection and caching
Multi-stage SMTP probing with provider profiles, greylisting and tarpit handling
The 3 March 2026 R&D benchmark: a 99,000-address list returned 27,000 valid addresses, making reason-code output the target for the internal tool
SPF, DMARC, PTR and TLS signals folded into each result
Every classification points at the check that produced it, with the reason code beside the verdict
Catch-all domains scored rather than passed or rejected outright
Checkpoint and resume, with multiprocessing for large lists
A pytest suite and GitHub Actions workflows for CI, CodeQL, deployment and health
It runs on real lead lists ahead of every send, and a risky address comes back with a reason we can act on rather than a number we have to trust. The first production run, on 24 June 2026, put 602 addresses through it in 742 seconds and returned 421 valid, 11 invalid, 157 risky and 13 unknown, each with its reason code.
Done again today
Done again today, work like this usually costs $1K to $3K (CRM cleanup and enrichment). The free plan says whether it fits before anything is priced.
Your CRM, list or catalog deduplicated, corrected and filled in, with the rules written down so it stays clean.
$1K to $3K, one-off
1 to 2 weeks
Your project, next
Say so in a few sentences. The free plan comes from the person who built this one.