Check who's still active. Drop the dead before import.

It checks whether each company's website is live and reachable. For every domain in your list it reads three things: whether the domain resolves in DNS, whether it has a mail server (an MX record), and whether the website answers an HTTP request. From those signals it works out a 0 to 100 active score and sorts each row into a band: active, uncertain, or inactive. It is a reachability check on the website, not a check on whether the business is registered or real.

No, and it does not claim to. Company Active Check tells you whether the website is live, which is a strong signal that a company is still operating, but it is not a company registry or a KYB check. A live site can belong to a dormant business, and a healthy company can have a slow or moved website. Read the score as "is this website live and reachable", then use your own judgment on the borderline rows. It is built to clear out the obviously dead and defunct ones in bulk, so the list you import is worth your time.

Active means the website resolves and answers cleanly, so it looks live. Inactive means the site is dead or unreachable: the domain does not resolve, nothing answers, or the page is parked or for sale. Uncertain sits in between, where the signals are mixed (for example the domain resolves but the site is slow to answer or returns an unusual status). The band comes straight from the 0 to 100 score, so you can sort, filter, and cut on either one.

Your original file with new columns added at the right. The headline columns are company_active (the band: active, uncertain, or inactive) and liveness_score (the 0 to 100 number), followed by liveness_reason, a short plain-language note that names the signals behind the verdict. Then come the signal columns: domain_resolves, mail_server, http_status, final_url (the address after any redirects, which flags a rebrand or a parked-elsewhere site), built_on (the platform the site runs on, like Shopify or WordPress, when it can be detected), tls_certificate, response_speed, and parked. You can sort and filter the file on any of these.

Yes. The tool has an instant check box at the top. Type or paste one domain and you get its active score, band, and the signals behind it on the spot, with no file upload and no job spent. It is handy for a quick sanity check on one company before you run a whole list, or for spot-checking a row the bulk run marked uncertain.

On the results page, drag the one slider to the active score you are comfortable with and export just the rows at or above it. The full scored file is never changed; the slider only controls which rows the filtered download keeps. There is also a toggle for whether to keep or drop rows that had no website to check. So you can hand off a clean list of companies whose sites are live, while the original stays intact in your history.

Rows with no website to check are marked unknown and counted on their own, separate from the scored rows, so a blank cell never gets scored as dead. Sites that do have a website but answer with genuinely mixed signals are scored uncertain, not guessed at, so a human can glance at them. Dead or unreachable sites are scored inactive. So every row with a website lands in active, uncertain, or inactive, and unknown is reserved for the rows that had nothing to check.

Most files finish in a few minutes. The tool checks each unique domain once and reuses the result across every row that shares it, so a list with many contacts at the same companies runs faster than its row count suggests. Larger files take longer but never sit in a queue, and the job lands in your notifications when it is done.

Company Active Check is on Pro, Team, and Agency, and a run costs one job from your monthly job allowance, the same as most tools. There are no per-row credits and no per-domain charges, because the DNS, mail, and reachability checks do not call a paid outside service. The instant single-domain box does not spend a job at all.

Run it early, before dedupe and before a CRM import, on any list where dead companies are a real risk: an aged list, a scraped list, a bought list, or one that has been sitting in a spreadsheet for a year. Cutting the dead and defunct companies first means you are not paying to dedupe, verify, or import rows that were never worth keeping. After it runs you can send the clean list straight into the Email Verifier or CRM Formatter.