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Compr

Pulls comparable sales, grades property condition from listing photos, and calculates a maximum allowable offer across six exit strategies for property deals.

From $99/mo

SalesWorkflow automationAnalyticsUsage-based pricing
thecompr.ai ↗
Open thecompr.aiAlternativesSet it up for my team
Compr: data, price, alternatives
At a glancechecked Oct 27, 2026

not read yet

Use

For
Acquisitions teams and real estate investors underwriting cash buyer deals from property addresses.
Price
From $99/mopricing page, read Oct 29, 2026Trial & discounts: save 10% yearly
Used for
  • pull sold comps and estimate after-repair value for an address
  • grade property condition from listing photos
  • compare maximum offers across six exit strategies
read off thecompr.ai on Oct 29, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 29, 2026

From $99/mo

Trial & discounts save 10% yearly

pricing page

Price Watch: every price change in the Atlas, weekly

Your datawhat they publish, each line with its page · read Oct 29, 2026

“We still don't let outside AI vendors train their public models on your data.”

privacy policy ↗

These are Compr's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP serverai.thecompr/comprverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-29
  • Address to connectthecompr.ai/api/mcp
  • OpenAPI spec1 pathsthe spec ↗
  • API docsthecompr.ai/docs/apithe vendor's page ↗
  • MCP docsthecompr.ai/real-estate-underwriting-mcp-serverthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Salesby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Compr?

    Pulls comparable sales, grades property condition from listing photos, and calculates a maximum allowable offer across six exit strategies for property deals. It is listed in the Atlas under Sales.

  • Who is Compr for?

    Acquisitions teams and real estate investors underwriting cash buyer deals from property addresses.

  • How much does Compr cost?

    Paid plans start at $99/mo, per Compr's pricing page on 2026-10-29.

  • Is Compr free?

    No. Its pricing page showed no free plan on 2026-10-29.

  • Does Compr train AI on your data?

    No, per its privacy policy (2026-10-29): “We still don't let outside AI vendors train their public models on your data.”

  • Is Compr safe?

    We do not audit vendors. What Compr publishes, read 2026-10-29: on training with your data, “We still don't let outside AI vendors train their public models on your data.”.

  • How do I cancel Compr?

    In its own words (terms of service, 2026-10-29): “You can cancel anytime from the billing portal.”

  • What are alternatives to Compr?

    In Sales, by use: Salesloft, Signed, Sellable, Relsova, Name Whisper.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk