Account risk APIs

Castle review

Account risk scores, device context and IP intelligence delivered through APIs and policy workflows.

9.1out of 10
Editorial fit

Who should shortlist Castle?

Developers who want an account-risk API with a small evaluation budget and a clear path to their own response policy.

How the product fits the workflow

Castle distinguishes full Risk or Filter requests from IP intelligence lookups. Its pricing page documents Bot, Abuse and ATO scores alongside device and network fields and policy controls.

What the business receives

Bot, Abuse and ATO risk scores, device and network context, and configured policy results within the selected integration.

Strength and tradeoff

Why it belongs on the shortlist

Public metering makes the difference between an IP lookup and a fuller risk request visible.

What to check first

The shared API budget buys different numbers of each request type. Retention, request limits and querying capabilities vary across plans.

Access, pricing and the unit

5 US dollars of monthly API usage. Pro: 200 US dollars per month / 200 US dollars API usage. Billing unit: Risk call or IP entity.

Use the vendor’s current plan and product scope when estimating cost. Confirm supported platforms, included output, request counting and operational support before starting a pilot.

Editorial fit breakdown

The API workflow and evaluation access make Castle a strong fit for an engineering-led account-risk deployment.

Castle category grades · weighted editorial assessment
CategoryWeightGrade
Account abuse fit25 percent4.6 / 5
Identity context15 percent4.6 / 5
Decision output15 percent4.7 / 5
Implementation15 percent4.7 / 5
Commercial access10 percent4.7 / 5
Operational control10 percent4.2 / 5
Cross-journey coverage10 percent4.0 / 5

Weighted grades produce 9.1 out of 10. Read the complete methodology and 28 lenses for the definition of the scale.

Run a useful first evaluation

Run a representative event sequence and check score explanations, policy behavior and the difference between an incomplete request and a usable low-risk result.

Record the protected action, event reference, proposed response and later outcome. Include ordinary returning customers in the same cohort. Inspect unavailable results and a support-led reversal before moving from observation to enforcement.

Use the controlled rollout guide to assign owners and release gates, and the API integration checklist for event binding and safe retries.

Official sources

Other approaches to compare

Editor’s Choice9.4/10

ShieldLabs

Combines device and network intelligence with account-abuse detection and traffic quality analytics.

Enterprise-level functionality without enterprise pricing.

Best fitOnline businesses that want a self-serve starting point for repeat signups, risky logins, account sharing and acquisition traffic quality.
Configurable fraud decisions9.2/10

SEON

Connects digital footprint, device intelligence and configurable rules for fraud operations.

Best fitTeams that need configurable logic around device, email, phone, IP and transaction data and have someone to own the policy.
Device intelligence8.9/10

Fingerprint

Device recognition and environmental signals for businesses building device-aware risk decisions.

Best fitEngineering teams with an existing account or payment workflow that need a documented identity input and granular client signals.
Before you choose

FAQ

What is Castle best suited to?

Developers who want an account-risk API with a small evaluation budget and a clear path to their own response policy.

How is Castle priced?

Pro: 200 US dollars per month / 200 US dollars API usage. Billing unit: Risk call or IP entity. Confirm the current plan with the vendor.

What should be checked in a Castle pilot?

Run a representative event sequence and check score explanations, policy behavior and the difference between an incomplete request and a usable low-risk result.