What it promises
- Resolution-rate measurement in supported geographies and fields
- Visibility into missing fields, anomalies, and coverage gaps
- Technical evidence before API or pilot integration
EmlakIQ 100
EmlakIQ 100 accepts 100 masked property records from institutional teams and produces identity resolution, coverage, missing-field, and anomaly visibility before the first meeting.
What this flow delivers
Promise and boundary
Flow
A masked file of 100 records is shared using address, parcel ID, coordinates, or internal ID.
Each record is matched against authoritative sources and mapped to a verified property identity where possible.
Resolution rate, coverage state, missing fields, and anomaly patterns are reported back.
The team uses the results to decide on pilot scope, integration readiness, or boundary conditions.
Sample output
The audit does not stop at matched versus unmatched. It returns which fields are missing, which anomaly patterns repeat, and the snapshot identity tied to the result.
{
"total_submitted": 100,
"resolved": 87,
"partial": 9,
"unresolved": 4,
"resolution_rate": 0.87,
"anomalies": [
{ "type": "conflicting_identity", "count": 3 },
{ "type": "stale_zoning", "count": 5 },
{ "type": "missing_risk_context", "count": 11 }
],
"missing_field_distribution": {
"energy_class": 67,
"building_age": 23
},
"snapshot_id": "audit_batch_2026_..."
} Next step