What is the ShieldLabs risk score?

The ShieldLabs risk score is a single 0-100 number assigned to every visitor, summarizing how anonymous or evasive the visit looks based on the anonymity signals that fired. The number: a higher score means more anonymity signals fired and the visit looks more suspicious; The Details: every score arrives with the full list of signals that shaped it, so the result is explainable, not a black box; The identity: each score is tied to a persistent identifier, so it stays consistent across a visitor's past and future visits. ShieldLabs returns the risk score on the very first visit, so you can act on it in real time without building your own scoring model.

How is the risk score calculated?

The risk score is calculated by combining every anonymity signal that fires on a visit into one weighted 0-100 result, so stronger evidence of evasion produces a higher score. Signals fire: 100+ signals are evaluated on each visit across device, OS, browser, network, and IP layers, including VPN, proxy, Tor, and anti-detect browser indicators; Cross-layer mismatches stack: inconsistencies between what the browser claims and what the connection reveals become signals of their own; Weights combine: strong anonymity signals move the score the most, softer ones add up in combination. The total is capped at 100. ShieldLabs delivers the score with its full Details list, so you always see which signals produced the result rather than trusting an opaque number.

Can I customize the action thresholds?

Yes, the 0-100 scale is fixed, but where you draw the action line inside it is entirely yours to set. By total score: act on anything above a threshold you choose; By individual signal: act on a single signal alone, regardless of the total; By combination: require both a score level and specific signals in the Details before you act. ShieldLabs returns the score and the Details and leaves the decision to your rules, so the logic matches your product's risk tolerance instead of a vendor default.

Does ShieldLabs automatically block high-risk visitors?

No, ShieldLabs never blocks anyone on its own. It returns the risk score and the reasoning behind it, and your team decides what happens next. What ShieldLabs returns: the risk score, the Details list of contributing signals, and the scoring reasoning; What you control: the action at each threshold: allow, challenge, review, or block; Why it works this way: the right call depends on the full picture, including the context of the user action, which only your product knows. ShieldLabs gives you decision-ready signals, not a forced outcome, so you stay in control of every block, challenge, and pass.

Does risk scoring work without cookies?

Yes, risk scoring works without cookies because it runs on the same cookieless visitor identification layer that powers the score. Persistent identifier: visitors are recognized by device, browser, and network signals rather than cookie storage; Survives evasion: the score holds steady through IP rotation, cleared cookies, and incognito mode; Privacy-aware setups: it keeps working under privacy-focused browsers and Private Relay. ShieldLabs returns a consistent risk score with up to 99% accuracy on the first visit, with no cookie consent banner or local storage required.

Risk Scoring

Detailed Risk Scoring for Every Visit

Make accurate decisions with a ready-to-use risk model built on anonymity signals, without extra friction for trusted users

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ShieldLabs visitor card showing a 0-100 risk score with contributing anonymity signals and severity band

A single Risk Score, built from every anonymity signal.

A Risk Score is a 0-100 number assigned to every visitor. It is a simple way to plug a weighted view of all anonymity signals into your workflow

Don't build your own model from scratch.

Anonymity signals are pre-combined into a single visitor risk score, ready for your existing workflow

Every score is explainable

Every risk score comes with the full list of anonymity signals that shaped it and the weight each one contributed

Configurable by your rules

Use the risk score in your own rules with thresholds matching the product's risk tolerance

One visitor, one identity

Every risk score ties to a persistent identifier that holds through IP rotation and cleared cookies

Real-time analytics dashboard

See how much of your traffic is anonymous, surface patterns, and explore data on every visitor

Seamless API and Webhooks integration

Risk scores delivered via real-time API and Webhooks, with past activity and anonymity signals included.

How the Risk Score Works

From the identification request to the risk score in your workflow. Four steps, end-to-end

Identification

Each request returns a risk score tied to the visitor or user account, so every past and future visit links back to the same identity

Signal Collection

ShieldLabs collects 100+ signals across device, browser, OS, network, and IP, surfacing mismatches and anonymity signals like VPN, Proxy, Tor, anti-detect browsers, and others

Weighted Score

Each signal carries its own weight. Strong anonymity signals weigh more; the more fire, the higher the final risk score

Delivery

The risk score and its full signal breakdown are delivered through the API and Webhooks, ready for your rules

ShieldLabs Overview dashboard with traffic risk gauge at 29/100 and severity breakdown across Clean, Low, Medium, and High bands

Detailed Traffic Quality Assessment

Individual risk scores aggregate into a real-time analytics dashboard, revealing what share of your traffic is anonymous and what abuse is already happening

Learn more about traffic anonymity analytics

Where to Use the Risk Score

Integrate the risk score at the moments that matter most in your product, applying your own rules

Signup

Stop the creation of fake accounts, multi-accounting, and trial farms

Login

Trigger step-up verification when a login comes from a new device or masked connection

Checkout

Flag high-risk purchases before payment, cutting chargebacks before they happen

Promo Claims

Stop bonus abuse, coupon abuse, referral fraud, and first-time-buyer scams

Pricing that scales with your traffic

Deep detection without the enterprise cost, with transparent pricing and a rate that drops as you grow.

Start with 5,000 free identifications

See the anonymous and abusive traffic you're missing.

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Set your monthly identifications and we’ll match a plan.

Starter
Monitor traffic quality as you grow.
$79/ mo
Billed yearly
Save $238 a year
25,000 identifications / month
$0.00317 per identification
Then the same rate per additional identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
Start Free
Growth
Most Popular
Catch abuse before it costs you.
$319/ mo
Billed yearly
Save $958 a year
150,000 identifications / month
$0.00213 per identification
Then the same rate per additional identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
Start Free
Scale
Built for high-traffic platforms.
$799/ mo
Billed yearly
Save $2398 a year
500,000 identifications / month
$0.00159 per identification
Then the same rate per additional identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
- 99.9% SLA
Start Free

Get your first risk score in 5 minutes

Free tier included, no sales call.

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Detailed Risk Scoring for Every Visit

A single Risk Score, built from every anonymity signal.

Don't build your own model from scratch.

Every score is explainable

Configurable by your rules

One visitor, one identity

Real-time analytics dashboard

Seamless API and Webhooks integration

How the Risk Score Works

Identification

Signal Collection

Weighted Score

Delivery

Detailed Traffic Quality Assessment

Where to Use the Risk Score

Signup

Login

Checkout

Promo Claims

Pricing that scales with your traffic

Starter

Growth

Scale

Get your first risk score in 5 minutes

Frequently asked questions

What is the ShieldLabs risk score?

How is the risk score calculated?

Can I customize the action thresholds?

Does ShieldLabs automatically block high-risk visitors?

Does risk scoring work without cookies?