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16Collateral field

Property sale value confidence in lending decisions.

Property sale value confidence gives the model's own confidence in its valuation of this property, banded high, medium or low for routing use, published modelled with 99.24% coverage across England. Where modelled, review the current dictionary evidence and validate the estimate against your own reference cohort. Attribution and refresh period are in the dictionary.

Core tierModelledEngland 99.24%Refresh Monthly

Pretira publishes property sale value confidence modelled at 99.24% coverage across England, refreshed monthly, with declared and modelled kept separate.

16.1Decision rule
// routing pattern
IF property_value_confidence = HIGH AND ltv <= 0.80 -> decide on data · IF MEDIUM -> desktop · IF LOW -> physical val

The sample record returns high confidence, so at a sensible LTV the case is a data decision; a low-confidence return on a thin-market flat would route to a valuer instead.

16.2Where it bites
01

DIP automation thresholds - the field your routing rules actually run on.

02

Second-value arbitration against an incumbent whose confidence is thin in a given segment.

03

Survey-cost budgeting across quote flow, and portfolio weighting in revaluation work.

16.3Provenance

Produced alongside the value from evidence density and model dispersion. Treat the band as a routing signal to validate on your own cohort, not a probability or a customer outcome.

Class: Modelled · Refresh: Monthly · England: 99.24%

›GET /property/999000000001sandbox: true
property.value.sale.property_value_confidence"high"
property.value.sale.property_value425000
property.value.sale.property_value_range[340000, 530000]
Sample record only - 1 Cedar Street, CH1 1MN. Deterministic synthetic data. No live call from this page.
16.4Related fields
Property sale valueCoreProperty sale value rangeCoreFloor area (declared and predicted)CoreBedrooms (declared and predicted)Core
16.5FAQ

Three questions on this field.

Start where your current AVM declines and measure the recovery. Your thresholds, our published basis for them - high decides on data, medium takes a desktop, low goes to the doorstep.

Evidence density, how uniform the local stock is, and recency of comparable transactions. Thin markets and unique stock read low by design - that candour is the feature.

Different scales, so calibrate side-by-side rather than assuming a like-for-like mapping. A run on your own completions settles it faster than any deck.

Core tier. Routing rules on this page are illustrative patterns; coverage figures render from the dictionary. Dictionary: July 2026.

Review this field before you deploy it.

Start with a synthetic record or a controlled standard sample. We will show the field provenance, coverage and testing, then scope the production route.

Request a controlled sampleSee commercial routes