Parcel

A client-ready CMA from the comps you pick

Enter the subject and your comps. Price-per-square-foot math is computed exactly; the AI adjusts each comp, weights them and writes a value range and a client summary.

CMA BuilderClosing suite

$15per month on its own

  • Closing Suite, all 8$29/mo
  • All AI Tools$49/mo
  • Free plan10 runs a month

Try it with your own files

This tool reads your documents

So it runs in your free account rather than on a public page. Sign up with your email and upload a file; developers can send the same request to the API.

Create a free account

API request

curl https://parcel.westwardconsulting.ai/api/v1/valuations/cma \
  -H "Authorization: Bearer $PARCEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "subject": {
    "address": "418 Alder Lane",
    "beds": 4,
    "baths": 2.5,
    "sqft": 2380,
    "year_built": 1926,
    "lot_size": "5,000 sq ft",
    "condition": "excellent",
    "features": [
      "Renovated kitchen",
      "Studio in converted garage",
      "New roof 2023"
    ]
  },
  "comps": [
    {
      "address": "502 Alder Ln",
      "price": 815000,
      "date": "2026-08-12",
      "beds": 4,
      "baths": 2,
      "sqft": 2250,
      "year_built": 1924,
      "condition": "good",
      "distance_miles": 0.1
    },
    {
      "address": "1130 SE 37th Ave",
      "price": 872000,
      "date": "2026-07-02",
      "beds": 4,
      "baths": 3,
      "sqft": 2510,
      "year_built": 1931,
      "condition": "excellent",
      "distance_miles": 0.4
    },
    {
      "address": "3315 SE Ankeny St",
      "price": 769000,
      "date": "2026-09-20",
      "beds": 3,
      "baths": 2,
      "sqft": 2050,
      "year_built": 1912,
      "condition": "average",
      "distance_miles": 0.5
    },
    {
      "address": "455 SE 41st Ave",
      "status": "pending",
      "price": 899000,
      "beds": 4,
      "baths": 3,
      "sqft": 2600,
      "year_built": 1928,
      "condition": "excellent",
      "distance_miles": 0.6
    }
  ],
  "purpose": "listing_price"
}'

Runs inside your free account, where your documents stay private.

What you get

Takes a subject property and your comparables and returns price-per-square-foot statistics (computed exactly, not by the AI), line-item adjustments and weights for each comp, a low/mid/high value range, a suggested price, a rationale for the agent and a summary to send the client.

Developers: POST /api/v1/valuations/cma · API docs

  • Exact $/sq ft statistics, computed in code
  • Per-comp adjustments and weights, explained
  • A defensible value range
  • A summary written for your seller

Frequently asked questions

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