hmda_methodology

shallow

com.dominickprevete/dscr-lender-data · Verify this server

How the investor-lender data is built: the filter definition, the server-side versus local filtering split, the vintage and retrieval date, the covered states, and the stated limitations an agent should attach to any figure it reports.

100.0/100

1 trials · measured 1 day ago

hmda_methodology scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.dominickprevete/dscr-lender-data, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: hmda_methodology
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hmda_methodology — Vouch