Source
Outcome memory + cohort-adjusted reliability (Phase 8.E+) · vintage 2026 · refresh cadence: live
Travels across the n-sided graph: AQS for agents, response-rate for buyers, occupancy for landlords
Direction of better
Higher values are better. Used to rank candidate towns/properties; higher score = stronger fit.
Unit
Values are reported in score_0_100.
Where the data lives
Tables: lead_assignments
Columns: reputation_score
Input field: reputation_score
JSON-LD example
Every value emitted by ValiFit (in /api/v1, MCP responses, on-page JSON-LD) carries a propertyID set to this metric_id, so AI clients can resolve it back here in one round-trip.
{
"@type": "PropertyValue",
"propertyID": "match.reputation_signal",
"name": "Cross-Dyad Reputation Signal",
"value": 78,
"unitText": "score_0_100",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "composite",
"value": "Match_Score"
},
{
"@type": "PropertyValue",
"name": "level",
"value": "agent"
},
{
"@type": "PropertyValue",
"name": "direction",
"value": "higher_better"
},
{
"@type": "PropertyValue",
"name": "source_year",
"value": "2026"
},
{
"@type": "PropertyValue",
"name": "fha_safe",
"value": true
}
],
"valueReference": {
"@type": "QuantitativeValue",
"additionalType": "https://valifit.com/catalog/metric",
"identifier": "match.reputation_signal",
"sameAs": "Outcome memory + cohort-adjusted reliability (Phase 8.E+)"
},
"mentions": [
{
"@type": "Dataset",
"@id": "https://valifit.com/sources/valifit-internal",
"identifier": "VALIFIT_INTERNAL",
"name": "ValiFit Internal Compute",
"url": "https://valifit.com/trust/methodology",
"sameAs": "https://valifit.com/trust/methodology",
"creator": {
"@type": "Organization",
"name": "ValiFit"
},
"temporalCoverage": "live",
"dateModified": "2026-05-11"
}
]
}For programmatic access
GET /api/v1/catalog/metrics?id=match.reputation_signal
MCP tool: get_catalog with id="match.reputation_signal"