KOANO deploys five specialist agents that read every public record touching a property, scattered across federal, state and city agencies. Each weighs its own evidence, and the verdict they produce shows its arithmetic figure by figure.
Reads recorded-sale prices, sales velocity, mortgage rates, and rents to judge whether conditions favor buying, selling, or waiting.
Timing verdict · Confidence score · Signal windowTracks approved building permits and zoning around a site for the construction and development that moves value.
Infrastructure impact · Price effect · TimelineReads mortgage lending, employment and wages, and household migration for where housing demand is heading.
Demand momentum · Gentrification stageWeighs flood and climate risk, crime, environmental contamination, and building violations into a single risk score.
Risk score · Dominant risk factorsReads zoning, Opportunity Zone status, and landlord and violation records for the regulatory risk on a property.
Regulatory risk · Entitlement timelineConfidence 69 / 100 · Signal window 12 months · Provenance live
Each specialist casts a directional vote, weighted by its own confidence. The weighted votes average into one score, which falls into a threshold band that names the verdict. It is deterministic code, not a judgment call. The same data always produces this exact result.
Decided by 2 of 5 agents.
Infrastructure Pipeline and Regulatory & Policy set the direction. The other 3 returned no directional signal. A neutral (hold) vote carries no weight, regardless of its confidence (up to 80 here). The 2 directional shares sum to the score above.
The specialists lean neutral on weak signal by design; a clear structural fact adds this directional nudge, which the drivers below explain.
The same verdict, opened up. Every number KOANO used carries its value, its provenance, and the exact public source it came from. This is the real ledger from the run above. On a New York address every figure is live, and where a figure is ever not live, KOANO labels it distinctly rather than quietly averaging it in.
Location confirmed (two geocoders agreed) · every figure below is for 175 3rd Street, Brooklyn
Government open data tells you the state of a building today. It does not keep yesterday. Nobody stores the week-over-week history, so nobody can reconstruct it after the fact.
Every week, KOANO snapshots the free public record into a time series of its own. It is thin right now, and that is the honest picture: two weekly captures and one gap where a run failed, shown as a gap rather than smoothed over. Every week it runs, the record is worth more, and it is the one asset a competitor cannot buy back later.
Add a property and KOANO checks its public record every week, diffs it against the week before, and tells you only what actually changed. It reports the before and after it read from two snapshots, with no inference and no adjectives the data does not support, in the app and in a Monday digest.
Ownership record changed
This may be a sale, or the same owner re-registering under a slightly different name. KOANO matches names exactly and cannot tell the two apart. Registered owner: SMITH REALTY LLC → 3RD STREET HOLDINGS LLC.
HPD violations resolved
Open HPD violations: 7 → 3 (4 resolved).
Comp price movement in this ZIP
Median recorded $/sq ft in this ZIP: $1,120 → $1,154 (+3%), over 100 recorded sales.
Every alert is a fixed template filled with values read straight from the record. It is a factual claim leaving KOANO by email, so nothing in it is written by a model.
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The public record behind every verdict
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