Realie starts with a free tier and paid self-service plans at $50, $150, and $350 per month, with nationwide parcel coverage included at every tier. There is no contract and no sales call required to start, so you can validate the full dataset before you spend anything.
Affordability in property data is not only the monthly number. It is also whether you can start without a procurement cycle, whether the entry tier gives you the real dataset or a crippled sample, and how the licence constrains what you may do with the data. Realie prices self-service at $50, $150, and $350 per month above a free tier, and every plan exposes the same endpoints, the same fields, and the same 100-parcels-per-request ceiling. What changes between tiers is the included token allowance and the per-token overage rate, which improves from $0.15 on Free to $0.012 on Tier 3.
A low headline price stops meaning much if the cheap tier excludes the data you need. On Realie every plan carries the same endpoints and the same data types across all 50 states and 3,100+ counties, including parcel geometry. The free tier is a genuine evaluation of the production dataset rather than a limited demo.
Tokens are shared across Platform and API usage, so you manage one allowance rather than reconciling two meters.
Annual minimums, mandatory onboarding fees, and a required sales call before you can test all raise the true cost of adopting a provider — sometimes past the difference in list price. So does a licence that forbids storing or redistributing what you have already paid for.
Engineering time counts too. If the cheaper API is slow enough to require a caching layer and a background job queue, the infrastructure you build to work around it is part of the price. Compare total cost of adoption, not the monthly line item alone.