RENTAMETRIX AI // STUDENT HOUSING DATA HARNESS
Generic AI doesn't understand student housing.
One model for PMS data, internal lease tracking, and market research.
Realtime PMS sync. Internal lease tracker ingestion. Market research feeds. Reconciled bed-by-bed, season-by-season. Operator teams ask the questions they already ask — in the tools they already run.
Beta access? Open the app
Built for academic-year leasing, unit and bed grain, and the workflows operators actually run.
Operators ask in natural language. Answers grounded in PMS, tracker, and market data.
The operator's data, connected and mapped.
Answers delivered where the work already happens.
rtmx · 72.4% pre-leased · +4.3pp YoY · rank 2/5
3 pacing alerts · 1 rate-gap flag · open report →
=RTMX.PACING("MH","F26") → 72.4%
Plus ChatGPT, MCP-compatible agents, and partner APIs.
Speaks the data model of every major student-housing PMS
MCP-native · works with the AI tools your team picks
Rent rolls, leases, units, beds — normalized into one season-aware model.
REAL QUESTIONS, ANSWERED
The questions student housing teams actually ask.
Pacing against last year. Pricing against the comp set. Where the gap is coming from. Reconciled across PMS, tracker, and market data — every answer traceable to the source.
> How is 25-26 pre-lease pacing vs last year?
Same week last season: 68.1%. +4.3pp ahead
Bed-weighted across 847 beds · 3 floor plans · Season: Aug '25 – Jul '26
traceId: 3f4f2a8e... · source-verified
> What's our 2BR/4BA net effective vs the comp set?
Comp set net effective range $645–$795 · median $738. You sit at the 38th percentile.
Based on 4 public comps · 2BR/4BA · Season: Aug '26 – Jul '27
traceId: 8c1b942d... · source-verified
> Show me my market position vs comp set
Market avg $1,189. You're +4.9% above. Occupancy 94.2% vs market 91.8%.
5-property comp set · Bed-weighted blended · Week 34 of Season 25-26
> How many active leases at Maverick Hills for Fall '26?
PMS rent roll: 412 (7 stale, last sync 38h ago). Lease tracker: 419 (matches reconciled count). Delta resolved bed-by-bed.
Bed-level reconciliation · 847 beds · Season Aug '26 – Jul '27
traceId: 5b4e1c9a... · source-verified
trace per cell
THE AI GATEWAY
One gateway. Every workflow.
Three sources in. One model. Every workflow out — chat, dashboard, automation, API, MCP-compatible agent.
72.4% pre-leased for Fall '26. +4.3pp vs last year. Rank 2 of 5 in comp set.
Channel and DM-ready
> How's pre-leasing at The Retreat?
Same week last season: 68.1%. +4.3pp ahead. Rank 2 of 5 in your comp set.
Bed-weighted across 847 beds · Season: Aug '25 – Jul '26
> Where's the gap to last year coming from?
Renewals lagging at 3 floor plans. New leases +8.1pp YoY but renewals -2.4pp.
vs 68.1% same week last year
Refreshes weekly · drops into the dashboard your team already runs
Alert if pacing drops below 65%
n8n · Zapier · Make
POST /api/v1/chat/completions
data: [DONE]
x-rtmx-trace-id: 3f4f2a8e...
One endpoint for every surface
One gateway for student housing data. Built to plug into the workflows operators already run.
Connected sources · mapped to MCP-native delivery · ready for the agents your team picks next
HOW IT WORKS
Operator data in.
Purpose-built answers out.
Connect
Realtime PMS sync. Internal lease tracker ingestion. Market research feeds. Normalized into one student-housing model: academic year, floor plan, unit, bed, comp set.
Ask
Operators ask in plain English. Calculations run server-side, purpose-built. Bed-weighted occupancy. Pre-lease pacing vs last year. Revenue projections with concession modeling. Every answer carries its trace.
Deliver
Same answer, every surface. Chat. Scheduled digests. Spreadsheet formulas. MCP-compatible agents. One harness.
"Bed-by-bed math, season-by-season — the only honest way to read pacing."