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  3. Agent-Ready SaaS Index

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  5. Property Management

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  7. Units

Units logo

Units

Not Agent-Ready Yet
Agent-Ready SaaS Index · unitsapp.co · scored 2026-05-06
Score 9 / 100
Property Management

Units has a pricing URL, but plan structure is not surfaced clearly enough for an agent to enumerate. Listed CTAs route to a sales conversation rather than self-serve checkout. No public API was advertised on the SaaSworthy listing. Tier 1 scorecard from public listing signals; pricing-page verification is a Tier 2 task.

Live pricing pageSee Units pricing summary
Pricing snapshot
Offers Custom plan.
As of 2026-05-06 · derived from www.unitsapp.co/home-email
Enterprise

Contact sales

Snapshot rendered from xpay's extracted pricing signals. Tier count capped at 5 (anti-slider). For the live page, see source link above.
Score breakdown
How Units scores on the 7 agent-ready dimensions

Public pricing

9 / 15

Usage-based / metered

0 / 25

Self-serve checkout

0 / 15

Public API

0 / 15

Low / no minimum

0 / 10

Unauth automated payment

0 / 10

Bonus (machine-readable pricing)On top of /100 base

0 / 5


Total
9 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from Units?
✓

Discover price

◐

Select a plan

✗

Pay per task

✗

Avoid a sales call

✗

API docs without auth

✗

Estimate cost upfront

Analysis
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
◐ Opportunities for the publisher
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • All advertised tiers route to a sales contact form; an agent cannot complete a purchase autonomously.
  • API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How Units could lift its score

Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.

pricing_visible

true

headline_phrasing

Offers Custom plan.

tier_count

1

lowest_paid_entry_usd

null

free_tier

false

free_tier_terms

null

per_unit_price

null

annual_required

false

self_serve_paid_tiers

0

sales_only_tiers

1

public_api_docs_url

null

api_docs_auth_walled

null

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

_api_support_flag

0

_offers_free_trial_flag

false

_quote_parsed

{"starts_at_usd":null,"free_mentioned":false,"custom_mentioned":true}

_cta

{"self_serve":true,"sales_demo":true}

More in Property Management
Compare Units with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.
Zeevou
66
zeevou.com
Approaching Agent-Ready
SnapInspect
66
snapinspect.com
Approaching Agent-Ready
PropertyMe
65
propertyme.com.au
Approaching Agent-Ready
TurboTenant
63
turbotenant.com
Partially Agent-Ready
Hosthub
63
hosthub.com
Partially Agent-Ready
Landager
62
landager.com
Partially Agent-Ready
Buildium
62
buildium.com
Partially Agent-Ready
Hemlane
61
hemlane.com
Partially Agent-Ready
Browse all Property Management →
Agent-Ready Spec
Units
Not Agent-Ready Yet

9

/ 100 (rubric v1.1)

Category

Property Management

Pricing model

Offers Custom plan.

Tier count

1

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 1


Public API docs

Auth-walled

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-06

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://www.unitsapp.co/home-email.
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