domain: attomdata.com · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Ingest incoming seller leads with property address; resolve the address to a canonical parcel identifier using a public records API such as ATTOM or Regrid
Request an AVM estimate from your chosen provider (e.g., ATTOM /attomavm/detail, HouseCanary, or a licensed Zestimate feed if partnered) to establish a base value; capture the confidence score and value range
Pull comparable sales from the same API or an MLS feed to validate the AVM; flag properties where the AVM confidence score is low or comp count is below your threshold for manual review
Apply your buy-box rules programmatically: check property type, year built, square footage, condition indicators (DOM, price reductions), and geographic market coverage against configurable thresholds
Calculate an offer amount by applying a target margin and estimated repair/holding cost to the AVM value; generate a structured offer object with price, contingencies, and expiration
Present the offer to the seller via your application and log all inputs, AVM values, and business-rule decisions for audit and model recalibration
Known gotchas
No major iBuyer (Opendoor, Offerpad) exposes a public offer API for third parties to consume or trigger; you must build your own AVM and pricing logic rather than calling an iBuyer's endpoint
AVM accuracy degrades sharply for unusual properties (non-standard layouts, rural locations, unique architecture) — always include a manual review path for low-confidence predictions
Regulatory requirements around instant offers vary by state; consult legal counsel before automating firm purchase offers, as some jurisdictions treat these as binding contracts
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