Know your users.
Classify your traffic.
Three SDKs for three trust problems — fingerprint browsers, classify API callers, track CLI usage. All running at the edge.
Your device fingerprint
Caller Type
BROWSER_HUMAN
JA4 Fingerprint
t13d1517h2_8daaf6152771_b0da82dd1658
HTTP/2
Verified
Header Order
Consistent
TLS Version
1.3
Machine ID
pulse_m8k2v9x1a3b7
Recent Commands
Waiting for commands...
OS
macOS 15
Shell
zsh
Terminal
iTerm2
Node
v22
Pkg Mgr
pnpm
CI
None
99.2%
Identification accuracy
41
Browser signals per visit
<50ms
Edge response time
Zero
PII collected. Ever.
Works with your stack
React
Next.js
Vue
Svelte
Node.js
Python
Hono
Vercel
AWS
WordPressThree products, one platform
Browser, server, and CLI.
Each solving a different trust problem.
Know who's visiting — even without cookies
Recognize returning visitors with 99%+ accuracy using 41 browser signals + edge network analysis. Canvas rendering, GPU quirks, font stacks, and transport-layer fingerprints fuse into a stable ID that survives cookie clears and incognito mode.
- 41 browser signals + edge network analysis, fused at the edge
- Stable visitor ID across sessions and devices
- Bot detection, headless browser classification
- Web3 wallet detection and Sybil scoring
99.2%
Accuracy
41
Browser signals
<50ms
p99 latency
import FingerprintIQ from '@fingerprintiq/js';
const fiq = new FingerprintIQ({ apiKey });
const result = await fiq.identify();
// result.visitorId → "iq_01kn8f3a2b..."
// result.confidence → 0.992
// result.botProbability → 0.003
Web3 wallet intelligence — live demo
Spot MetaMask, Phantom, Rabby and 15+ others without a single popup. Look upvitalik.ethand get portfolio, wallet age, and sybil score back.
Every device is unique
Your browser leaves
a fingerprint
Canvas rendering, GPU characteristics, font stacks, audio processing, screen geometry — every device produces a unique combination of signals. We scan and fuse them into a stable identity, even across sessions.
99.2%
Identification accuracy
41
Browser signals
<50ms
Edge response time
0%
PII stored
Why FingerprintIQ
One platform covering browser, server, and CLI — with signals that can't be faked.
Edge Network Analysis
JA4/TLS fingerprinting, RTT geo-coherence, ASN classification, and HTTP fingerprint analysis run before JavaScript executes and cannot be spoofed by browser extensions.
Edge Performance
Sub-10ms identification at 300+ edge PoPs. No round-trip to a centralized API.
API Caller Classification
Every request to your API is classified as browser, bot, AI agent, CLI tool, or scraper — before your application code runs.
41 Browser Signals
Canvas, WebGL, WebGPU, audio, fonts, WASM timing, math precision, DOMRect, headless detection — collected in parallel, then fused with edge network analysis for 99%+ accuracy.
Web3 Native
Wallet extension detection, Sybil risk scoring, on-chain enrichment.
CLI Analytics
Track command usage, machine fingerprints, and adoption metrics for your CLI tools — no PII, no guilt.
Privacy by Default
No PII stored anywhere. No emails, no IP addresses. DO_NOT_TRACK respected across all products.
New · Web3 intelligence
Wallet detection, ENS, and on-chain
reputation in one SDK.
See which wallets a visitor has installed without ever opening a popup, look up any ENS name, and pull portfolio, wallet age, and sybil-cluster signals for any EVM address — from the same drop-in SDK.
Detected passively
→ net_worth_usd: 4.2M
→ wallet_age_days: 3651
→ labels: ["whale", "defi_user"]
How It Works
Three steps to production. Pick your product.
import FingerprintIQ from '@fingerprintiq/js';
Install the browser SDK
One npm package. Works with React, Vue, Svelte, or vanilla JS.
const result = await fiq.identify();
Call identify()
Three lines of code. Collects 41 browser signals, then fuses them with edge TLS/ASN/RTT analysis.
"visitorId": "iq_01kn...",
"confidence": 0.992,
"botProbability": 0.003,
"verdicts": { ... }
}
Get a stable visitor ID
Confidence score, bot probability, and detection verdicts. Sub-50ms.
Honest pricing. No traps.
Every plan includes Identify, Sentinel, and Pulse. No feature gating.
Free
For evaluation and indie projects.
- 25,000 identifications/mo
- All 41 browser signals
- Sentinel API classification included
- Pulse CLI analytics included
- Dashboard included
- Community support
Growth
For growing products and startups.
- 500,000 identifications/mo
- All 41 browser signals
- Sentinel + Pulse unlimited
- Dashboard + API access
- 1,000 req/sec rate limit
- Priority support
- Webhook alerts
Scale
For high-volume and mid-market.
- 5,000,000 identifications/mo
- All 41 browser signals
- Sentinel + Pulse unlimited
- Web3 add-on included
- Custom rate limits
- Dedicated support
- SLA guarantee
All plans include a permanent free tier. No credit card required to start.
Frequently asked
questions
Common questions about Identify, Sentinel, and Pulse.
Our multi-layer approach combining 41 browser signals with edge network analysis (JA4/TLS, RTT, ASN, HTTP fingerprints) achieves 99%+ accuracy. Unlike client-only solutions, those edge checks cannot be spoofed by browser extensions.
Identify is a browser SDK that fingerprints visitors on the client side. Sentinel is server middleware that classifies API callers (browser vs. bot vs. AI agent vs. CLI tool) using TLS and header analysis. Pulse is a lightweight analytics library for CLI tools that tracks command usage without collecting PII. They're independent products — use one or all three.
Yes, permanently. 25,000 identifications per month, all 41 browser signals included, no credit card required. Sentinel and Pulse are included in every plan.
FingerprintJS open-source is client-only (~60% accuracy). Their Pro product starts at $100/month. We combine 41 browser signals with proprietary edge network analysis at a fraction of the price. We also offer API caller classification (Sentinel) and CLI analytics (Pulse), which FingerprintJS doesn't have.
Sentinel classifies requests into seven categories: BROWSER_HUMAN, BROWSER_AUTOMATED, AI_AGENT, CLI_TOOL, SDK_CLIENT, BOT_SCRAPER, and UNKNOWN. Each classification includes a confidence score and TLS fingerprint details.
No. We never store IP addresses, email addresses, or any personally identifiable information. Visitor IDs are derived from device signals only. Pulse for CLI tools also collects zero PII — it fingerprints machines, not people.
Yes. If a user has DO_NOT_TRACK set or is running in a CI environment, Pulse automatically skips telemetry. No configuration needed.
Each product is a separate npm package. Identify: import the SDK and call identify(). Sentinel: add middleware to your Hono app. Pulse: initialize with your tool name and call track() per command. Full TypeScript support across all three.
Start building with FingerprintIQ
Fingerprint browsers, classify API callers, or track CLI usage. Pick one product or use all three.