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Greip

Stop fraud and check who you are dealing with: locate and score IP addresses, look up card BINs, IBANs, networks and domains, validate emails and phone numbers, screen text for profanity, and score payments for fraud.

actions
13

Actions

Steps a workflow can run in Greip.

  • Look up IP addressFind where an IP address is (country, region, city, coordinates) and which network runs it. Add Security to see whether it is a VPN, proxy, Tor exit node or hosting provider.
  • Look up several IP addressesLook up a list of IP addresses in one request. Greip reads about 10 IPv4 addresses at a time (159 characters). Invalid and repeated addresses are skipped.
  • Look up countryGet facts about a country: its name, capital, population, dialing code, internet domain and whether it is in the EU. Add language, currency or flag as needed.
  • Look up AS numberFind who runs an autonomous system (a network on the internet): its owner, contact details, kind of network and the address blocks it owns.
  • Look up card BINFind the card network, card type, issuing bank and country behind the first digits of a card number. Only the first eight digits are ever sent, so a whole number can be pasted.
  • Validate IBANCheck that an IBAN is valid and find its country, currency and bank. An invalid IBAN is an answer, not an error: is_valid is false.
  • Look up domainCheck whether a domain is new, dangerous, disposable or set up properly for email (mail servers, SPF, DKIM, DMARC). A domain Greip has not seen yet comes back empty and is collected for the next day.
  • Score IP addressRate how risky an IP address is, from 0 to 100, with a risk level (low, medium, high), a suggestion (accept, review, reject) and the signals behind it: VPN, proxy, Tor, bot, hosting or blocklist.
  • Score email addressCheck an email address goes beyond its spelling: whether its domain can receive mail, whether it is disposable, free or role-based, and an overall risk level with the reasons.
  • Score phone numberCheck whether a phone number is valid for its country, disposable or blocklisted, with its carrier and an overall risk level with the reasons.
  • Detect profanityScreen text for profanity and abusive language before it is published. Returns a risk level (low, medium, high) and a suggestion (accept, review, reject).
  • Score paymentRate how likely a payment is to be fraud, from 0 to 100, with a suggestion (accept, review, reject) and the rules that flagged it. Fill in whatever you know: the more you give, the more rules Greip can check.
  • Delete user dataPermanently delete everything Greip stored about one person (their scored payments, IPs, emails, phone numbers and IBANs), for example to answer a data deletion request. It cannot be undone, and Greip allows 3 a day.

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Connect Greip, then hand Lodol the job in Slack, Claude or ChatGPT.

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