AbuseIPDB competitors and alternatives
Choose AbuseIPDB instead when
- checkYou are defending servers rather than a signup form: SSH brute force, scraping, spam, web application attacks.
- checkYou want a free, credible second opinion on an address and can live with the daily request caps.
- checkYou want to contribute back. The database only works because operators report into it, and that reciprocity is the point.
- checkYou want a record of what an address has done rather than a classification of what it is. That is a genuinely different and sometimes better signal.
The alternatives, briefly
Kaidn
this is usScores a user event rather than an address, using IP reputation as one weighted input beside email identity, phone, device and repetition. Answers 'should this signup go through' rather than 'has this address misbehaved'.
proxycheck.io
site ↗Tells you whether an address is a proxy, VPN or data centre, rather than what it has been reported for. Very cheap, and complementary rather than competing: one says what an address is, the other what it has done.
Spamhaus
site ↗The long-standing authority on email and network abuse reputation. Better provenance than crowd reporting, with licensing to match at commercial volume.
IPQualityScore
site ↗Commercial IP, email and phone reputation with a fraud score attached. Broader coverage than a reporting database, and priced accordingly.
GreyNoise
site ↗Sorts internet background noise from traffic aimed at you specifically. More a security-operations tool than a fraud one.
Kaidn compared with AbuseIPDB
A community-reported database of IP addresses linked to abuse, queryable by API and free at modest volume.
| Kaidn | AbuseIPDB | |
|---|---|---|
| What it returns | allow, review or block for a user event, with reasons. | A confidence-of-abuse score built from user reports. |
| Where the data comes from | Our own signals across tenants, plus our network and email intelligence. | Reports submitted by the community. |
| Free tier | 10,000 scored events a month. | A free individual plan with daily request limits. |
| Paid entry | $99 for 250,000 events a month. | $25 a month, with a higher tier at $99. |
| Signals beyond IP | Email identity, phone, device, repetition, cross-operator graph. | None. The database is addresses. |
| Best at | Deciding whether a person should be let through. | Telling you an address has already attacked somebody. |
AbuseIPDB is one of the more genuinely useful free things on the internet, and the honest summary of this page is that it is not our competitor. It answers a question we do not, and we answer one it cannot.
We wrote this page because it turns up in the same searches, and because a reporting database has a specific weakness worth understanding before you lean on it for signups.
No reports is not the same as clean#
The database is built from reports. That makes a hit strong. If forty operators have reported an address for credential stuffing, that address has a history and you should treat it accordingly.
It also makes a miss almost meaningless. An address with no reports is not a clean address. It is an address nobody has reported yet, which is the normal state of almost every address on the internet, including every home IP a proxy network is currently renting out.
For defending servers that lopsidedness is fine. You are looking for known-bad and you have other layers.
For a signup form it is a problem, because the fraud you care about runs overwhelmingly from addresses with no abuse history at all. The account farm is not port-scanning anybody. It is filling in your registration form politely, forty times.
We measure different things#
Their unit is an address. Ours is an event: this person, doing this thing, right now.
Those come apart quickly. The same address can carry a legitimate customer and an abuser within an hour, because mobile carriers and shared broadband put thousands of unrelated people behind one IP. Score the address and you score all of them the same way.
What separates them is everything that is not the address. Whether the email domain was registered last week. Whether the phone is a VoIP line already seen on other accounts. Whether this device has signed up four times today. Whether any of it connects to something another operator already labelled.
Those are the checks that fire on exactly the cases an IP database is silent about.
Use both#
This page is not arguing you should drop them. A record of reported abuse is a real signal and we would rather you had it.
The sane setup is to treat AbuseIPDB as one input among several, which is exactly how we treat IP reputation internally, and to make sure nothing in your stack reads "no reports" as "safe".
Wiring it in as one input, not the answer#
If you are keeping AbuseIPDB, and you should, the work is not the API call. It is making sure an empty result cannot be read as a clean one. The bug looks like this, and it is common:
const { data } = await abuseipdb.check(ip); if (data.abuseConfidenceScore > 50) return block(); return allow(); // every unreported address on earth lands here
The same lookup used as evidence rather than as the answer:
const [abuse, decision] = await Promise.all([ abuseipdb.check(ip), kaidn.score({ event: "signup", user_id: user.id, ip, email: user.email, device_id }), ]); // A hit is strong evidence. A miss is no evidence at all, so it changes nothing. if (abuse.data.abuseConfidenceScore > 50) return deny("reported_ip"); if (decision.verdict === "block") return deny(decision.reason_text); if (decision.verdict === "review") return hold(decision.event_id); return allow();
The lopsidedness is the whole point. A report raises risk. A clean record does not lower it.
The address is already in the score#
For the IP half specifically you may not need a second call. Reputation, connection type and network come back on the scored event:
{
"check": "ipRisk",
"weight": 45,
"reason": "datacenter_ip",
"message": "IP is a datacenter/hosting address, not a residential user",
"evidence": { "asn": "amazon", "is_datacenter": true, "is_proxy": false, "is_tor": false }
}There is also a standalone POST /v1/check/ip if you want the address on its own, without spending
a scoring event on it.
Where we would send you elsewhere#
If you are protecting servers rather than accounts, stay with them and add GreyNoise to separate mass scanning from traffic aimed at you. If you need to know what an address is rather than what it has done, proxycheck.io costs a few euros a month. If your problem is email deliverability and spam history, Spamhaus is the authority and has been for a long time.
Frequently asked questions
Is AbuseIPDB good enough for signup fraud on its own?
No, and the reason is structural rather than a criticism of the database. It is built from reports, which makes a hit strong and a miss close to meaningless. An address with no reports is just an address nobody has reported yet, which describes almost every address on the internet, including every home IP a proxy network is currently renting out. Signup fraud runs overwhelmingly from addresses with no abuse history, so a clean lookup tells you almost nothing.
Should I stop using AbuseIPDB if I use Kaidn?
No. A record of reported abuse is a real signal and worth having. The sane setup is to treat it as one input among several, and to make certain nothing in your stack reads 'no reports' as 'safe'. Kaidn treats IP reputation the same way internally: one weighted check, never a verdict on its own.
What does a scored event catch that an IP database cannot?
Everything that is not the address. Whether the email domain was registered last week. Whether the address is a plus-tagged variant of an inbox already seen. Whether the phone is a VoIP line already on other accounts. Whether this device has signed up four times today. Whether the same payout destination is receiving from accounts that share nothing at registration. None of that exists inside an IP address.
Why is scoring an address a problem at all?
Because an address is not a person. Mobile carriers and shared broadband put thousands of unrelated people behind one IP, and the same address can carry a legitimate customer and an abuser within the hour. Blocking on address reputation punishes geography more than behaviour, and the users it costs you are mostly mobile users in countries where that sharing is universal.
What should I pair AbuseIPDB with?
Depends what you are defending. For servers rather than accounts, GreyNoise separates mass internet scanning from traffic aimed at you. For knowing what an address is rather than what it has done, proxycheck.io is a few euros a month. For email deliverability and spam history, Spamhaus is the authority.
Sources, checked 24 August 2026
Everything stated here about other products comes from their public documentation, linked above and checked on the date shown. We have not run every tool ourselves, and pricing and features change. If something is out of date or wrong, tell us and we will correct it.
Try it against your own traffic
10,000 events a month free, no card. The fastest way to settle a comparison is to run both on real data.