The PI.EXCHANGE AI & Analytics Engine (the Engine) is a Data Science and Machine Learning (ML) platform that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months.

The easy-to-use connected toolchain provides everything you will need to go from raw data to predictions and insights within a single pipeline. Manual and repetitive machine learning tasks are automated, and the Engine's intelligent features help guide the user end-to-end. So, whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team with the right tool to build meaningful solutions, fast. The Engine gives users the flexibility to customize their ML pipeline from scratch for classification, regression, time-series, or clustering problems or to select an ML solution template to develop their ML application. While both ML development options are guided and require no-coding experience, the latter requires only articulation of business requirements and problem context via a few key steps - everything else is taken care of.

Notable AI solutions include: Customer Churn Prediction Leveraging your manufacturing data to build predictive maintenance strategies Predict online fraudulent transactions and reduce false positives and; Optimize logistics decision-making

API for US ZIP, ZIP+4, and Canadian postal code data. One unified endpoint set covers North America — no separate APIs by country or data type.

What it does

• Address validation and standardization — production-grade parser with ZIP+4 append, refreshed monthly
• Radius search — centroid haversine and true spatial polygon intersection. Returns ZIPs/FSAs within range, with per-result pct_inside overlap percentage for spatial queries
• Unified lookup endpoint — accepts US ZIP, ZIP+4, Canadian FSA, full Canadian postal codes, or latitude/longitude inputs
• Autocomplete/typeahead — cities, counties, metros, states, FSAs, ZIPs
• Point-to-point distance — between any two postal points
• Census ACS demographics — 2011–2024, 542 fields per ZIP across income, education, housing, social, and economic profiles
• Boundary lookups — Census tracts, congressional districts, state legislative areas, school districts — with computed intersection percentages per ZIP

What makes it different

• Licensed commercial data — not commodity or scraped sources
• Canadian postal coverage — most peers in this space are US-only
• True spatial radius — not just centroid haversine
• 14 years of historical ACS depth via API — unusual outside of raw Census downloads
• One endpoint for all of North America — no country-detection or input-routing logic to maintain on the client side

Pricing

• Free — 2,500 lookups/day, no credit card required, no expiry
• Developer — $49/mo, 100K credits, 300/min
• Professional — $149/mo, 350K credits, 300/min
• Business — $499/mo, 1.5M credits, 600/min
• Credit packs — one-time, from 25K ($19) up to 2M ($799)

Resources

• Docs
• OpenAPI spec
• Postman collection