ChainPick

Nansen vs Footprint Analytics

A detailed head-to-head comparison of Nansen and Footprint Analytics — pricing, features, and which one wins for different use cases.

N

Nansen

Wallet-labeling intelligence for smart money tracking and fund research

4.4(189)

Nansen sits at the intersection of on-chain data and investment intelligence. Its core differentiator is a proprietary wallet-label database — over 250 million labeled addresses covering exchanges, fu

Full review →
F

Footprint Analytics

No-code and SQL on-chain analytics with community dashboards

4.0(98)

Footprint Analytics is an on-chain analytics platform offering both no-code chart-building and SQL access, plus a library of community dashboards, positioning itself as an accessible, Dune-like tool t

Full review →

Feature Comparison

FeatureNansenFootprint Analytics
Sql Interface
No Code Builder
Multi Chain Support
Realtime Alerts
Api AccessProfessional+
Embed Charts
Private QueriesN/A
Team Collaboration
Decoded Contracts
Python Notebooks

Nansen Pricing

Nansen

Starter

$150/mo

$1500/yr billed annually

  • Wallet profiler
  • Token analytics
  • NFT analytics
  • 3 alerts
  • 1 user
Get Started
Popular

Nansen

Professional

$450/mo

$4500/yr billed annually

  • Smart Money tracking
  • Token God Mode
  • 15 alerts
  • 3 users
  • API access
Get Started

Nansen

Enterprise

Custom

  • Custom seats
  • Unlimited alerts
  • Custom label requests
  • SLA
Contact Sales

Footprint Analytics Pricing

Footprint Analytics

Free

Free

  • No-code + SQL analytics
  • Community dashboards
  • Many chains
  • Basic limits
Get Started
Popular

Footprint Analytics

Pro

$50/mo

$500/yr billed annually

  • Faster queries
  • API access
  • Private dashboards
  • More history
Get Started

Footprint Analytics

Team / Enterprise

Custom

  • Team seats
  • Priority support
  • Custom data
Contact Sales

Verdict: Which Should You Choose?

Nansen is the better pick if you need 250m+ labeled wallets — unmatched for smart money and fund tracking. Footprint Analytics wins when both no-code and sql analytics. Both are production-ready — the right choice depends on your team's workflow and budget.