# Rentlytics

**Canonical:** https://apis.io/providers/rentlytics/  
**APIs profiled:** 0

Rentlytics was a multifamily real estate data analytics company founded in 2012 and headquartered in San Francisco, CA (with offices in Sacramento and Denver). Its platform consolidated operational and financial data scattered across multifamily assets into a unified business-intelligence layer, and it shipped products such as Open Data Services and Renovation Manager for per-unit and per-property yield visibility. Rentlytics was acquired by RealPage in 2018 for roughly $57 million and folded into RealPage's real-estate platform. As of this enrichment pass the standalone rentlytics.com domain is parked (it redirects to a generic lander) and the company operates no independent public developer portal, API documentation, or machine-readable API surface. It was surfaced as a portfolio company of Trinity Ventures.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Real-Estate, Analytics, Multifamily, PropTech, Business Intelligence, Data Analytics, Acquired

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/rentlytics/). Scores are computed from the provider's own public artifacts under a published rubric.