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Product2026-07-185 min

The account-protection market — and where AbuseGraph fits

by AbuseGraph Team

Four shapes buyers already see

Teams shopping for signup and login protection usually meet one of four product shapes:

  1. Device-ID tools — sticky visitor identifiers. Public entry often near ~$99/mo for ~20k calls. Great for “who is this browser?” — thin on “should we allow this signup?”
  2. Account-abuse platforms — risk APIs aimed at registration and takeover. Public entry often near ~$200/mo for ~100k calls. Strong when you want decisions; pricing past the entry tier is often opaque.
  3. Network / bot edge bundles — sold with CDN or bot management. Strong before traffic hits your app; less focused on explainable account verdicts once the request is inside your product.
  4. Fraud suites — payment + account modules, sales-led, often $500+/mo or six figures/year. Right when chargebacks and checkout fraud are the job.

Those bands are anonymous public list prices as of 2026 — not endorsements. Exact quotes vary. The shape is what matters.

What AbuseGraph is optimized for

AbuseGraph is an account-protection API for signup and login:

You getWhy it matters
Score + verdict + reasonsSecurity and support can agree on what happened
Free forever (1,000 live checks) + unlimited test keysValidate before you buy
Pro $99 / 20k (+ $4/1k) · Scale $199 / 100k (+ $2/1k)Public market entry + published overages, with a decision — not only an ID
DNS domain proofLive keys unlock after ownership verification
Exposure watch after signupAlerts when a real user’s credentials show new exposure later
You keep enforcementLooks good / Verify first / Watch closely / Block — in your app

Where specialists still win

Be honest with yourself:

  • Need chargeback guarantees or deep payment fraud → evaluate a fraud suite.
  • Need only a sticky device ID and nothing else → a pure fingerprint product may fit.
  • Already all-in on a CDN bot bundle → keep it for edge filtering; AbuseGraph sits next to your auth for account decisions.

What we will not do

  • Name competitors in the product UI
  • Claim “zero false positives” or magic accuracy
  • Pretend we are a kitchen-sink fraud platform

Next steps