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ShieldLabs
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ShieldLabs fraud detection review
Fraud detection and prevention. Editorial score: 9.7 out of 10. A strong fit for teams that want identification, network risk, ready account-abuse detections and traffic-quality analytics together, with self-serve integration, API access and webhooks.
By Michael Delgado · Reviewed against the 22-criterion rubric. Product/access source checked 23 October 2026.
9.7
Editorial score / 10
Rank 1 of 20
Enterprise-level functionality without enterprise pricing.
Combines 300+ device and network signals with visitor, user, device and IP context, a 0–100 Risk Score and Trusted, Suspicious or Dangerous verdicts. It detects VPNs, proxies, bots, AI traffic and browser automation, alongside ready-made multi-accounting, account sharing, impossible travel and account takeover detection.
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Where it fits
A strong fit for teams that want identification, network risk, ready account-abuse detections and traffic-quality analytics together, with self-serve integration, API access and webhooks. Our rating weights practical decisions, account linkage, signal depth, implementation and commercial fit. A tenth of a point is a close judgment; use the full
[methodology](/methodology/)
and your own traffic before choosing.
##
Signals, output and workflow
In a proof of concept, request a sample response for a clean user and a suspicious user. Record which fields are available to engineering, risk and support, and whether the result directly supports the action your team needs.
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Access and pricing
Free access:
5,000 free identifications.
Public entry price:
99 US dollars / month for 25,000 identifications. Products in this comparison meter different units. Calculate the number of calls your actual flow will make, confirm included products and any overage, and get the latest terms from the vendor.
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Strength and trade-off
Strength:
A strong fit for teams that want identification, network risk, ready account-abuse detections and traffic-quality analytics together, with self-serve integration, API access and webhooks.
Trade-off:
Install collection on the journeys you protect and size the allowance around actual identifications. Include legitimate shared devices and corporate VPN traffic in a pilot; this identity and account-risk product is a different purchase from a chargeback reimbursement contract.
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What to verify in a test
-
Run the product on the same signup, login or payment cohort you use for other candidates.
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Count known abuse caught, legitimate users flagged, missing responses and latency.
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Compare the output to the operational action your team can take, then normalize the quote to that event volume.
Next step:
Read the
[parallel test guide](/guides/parallel-fraud-tool-test/)
and the
[alternative shortlist](/alternatives/)
before committing to a plan.
##
Source
[Vendor page ↗](https://shieldlabs.ai/pricing)
##
FAQ
###
What is ShieldLabs best for?
A strong fit for teams that want identification, network risk, ready account-abuse detections and traffic-quality analytics together, with self-serve integration, API access and webhooks.
###
What does ShieldLabs cost?
99 US dollars / month for 25,000 identifications. Free access: 5,000 free identifications. Check the current vendor page for plan details and billing units.
###
What should I test before adopting ShieldLabs?
Install collection on the journeys you protect and size the allowance around actual identifications. Include legitimate shared devices and corporate VPN traffic in a pilot; this identity and account-risk product is a different purchase from a chargeback reimbursement contract.
[Try ShieldLabs with ShieldLabs19 ↗](https://app.shieldlabs.ai/auth?mode=register&promo=SHIELDLABS19)
Eligible new accounts can receive 50,000 bonus identifications on top of 5,000 free identifications. Check the bonus after registration.
Review index
###
ShieldLabs
Fraud detection and prevention
[How scores work ↗](/methodology/)
[Compare alternatives ↗](/alternatives/)
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