broker_diligence_prep

shallow

io.github.2016judea/small-business-intelligence · Verify this server

Pre-diligence framework for a business broker or buyer evaluating a target: SDE framing (why the discretionary-earnings figure, not net income or raw EBITDA, is the relevant number, and what typically gets added back), a category multiple range the model must research fresh and date-stamp (never a hardcoded table), a public-signal red-flag checklist run before any financials are shared, and a prioritized seller-question list built from the specific gaps the research actually surfaces. Example invocations: - "Prep me for diligence on a brewery taproom listed in Minneapolis, MN" - "What questions should I ask the seller of a hair salon in Wichita, KS before I make an offer?" - "This restaurant is asking $650K — what red flags should I check before taking that seriously?" - "I'm looking at a nail salon in Tampa, FL asking $310K — sanity-check that against category multiples before I meet the seller"

100.0/100

1 trials · measured 2 days ago

broker_diligence_prep scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.2016judea/small-business-intelligence, measured 31 Aug 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
2026-08-31100.0shallowv0.2.0

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: broker_diligence_prep
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broker_diligence_prep — Vouch