PropTech
Property TechnologyPropTech
Providers using this tag (311)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 15 Solid coverage with minor gaps
Developing 36 Usable, with meaningful gaps to close
Thin 27 Limited public surface area
Emerging 110 Early or largely undocumented
Minimal 121 Almost no public developer surface
Unrated 1 Not yet scored
APIs with this tag (3)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Developing 1 Usable, with meaningful gaps to close
Emerging 2 Early or largely undocumented
Score breakdown
Where this tag sits
311 providers carry this tag directly, and 313 counting the 3 narrower tags below — 2 more to reach.
Related tags
Where this tag comes from
Markets provisional
Kin Score markets whose measured providers carry this tag. Share is the fraction of the market's measured providers that carry it — it describes the market, not this tag.
| Market | Share of the market's providers |
|---|---|
| Real Estate and Proptech | 44% |
Cohort brief
Auto-generatedThe 288 providers in the APIs.io catalog tagged PropTech, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 27.1 | 23.9 | +3.2 | 288 |
| Discoverability | 57.4 | 57.9 | -0.5 | 288 |
| Contract Governance | 4 | 6.5 | -2.5 | 288 |
| Operational Transparency | 9.7 | 13 | -3.3 | 288 |
| Developer Ergonomics | 18.6 | 23.2 | -4.6 | 288 |
| Contract Quality | 11.9 | 17.2 | -5.3 | 288 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 10% | 13% | -3 |
| MCP server (first-party) | 8% | 12% | -4 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 11% | +2 |
| Security | 99% | 98% | +1 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 2% | 16% | -14 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Aedifion
- 2 Zillapi
- 3 Lev
- 4 Domain Group
- 5 Goodlord
- 6 Yardi Canada
- 7 Alasco
- 8 Spark Platform
- 9 Ordnance Survey
- 10 Snappt
- 1 Zillapi {"score" => 58.3, "band" => "agent-ready"}
- 2 Lev {"score" => 55.3, "band" => "agent-native"}
- 3 Aptly {"score" => 52.9, "band" => "agent-ready"}
- 4 Alasco {"score" => 51.5, "band" => "agent-ready"}
- 5 VergeSense {"score" => 50.9, "band" => "agent-ready"}
- 6 Landing {"score" => 48.2, "band" => "agent-native"}
- 7 Yardi Canada {"score" => 48, "band" => "agent-ready"}
- 8 Lone Wolf Technologies {"score" => 47.7, "band" => "agent-ready"}
- 9 Landmark Information Group {"score" => 47, "band" => "agent-ready"}
- 10 Aedifion {"score" => 46.2, "band" => "agent-ready"}
Coverage caveat. 279 of 288 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 31 October 2026, across 31983 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.