who_to_contact

shallow

io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt · Verify this server

For one organization (dfx_id, or its name in `organization`, resolved through the identity layer so every graph the institution is on is read) or one opportunity (opportunity_id from search_opportunities): ONE recommended person and up to two DISTINCT backups, ranked for a purpose (private_credit, advisor_recruiting, acquisitions, capital_raising, lending_desk, lp_fundraising ...). People come from every contact source DFX holds: the organization's own team pages, Form ADV Schedule A officers, sponsor and provider principals, private equity, venture, family office and allocator staff, and named contact routes. Each person carries title, role family, why they fit the purpose, decision authority (inferred from the title, or observed, labelled which), the contact route TYPES on record with their rights class (RESALEABLE, REVEALABLE, INTERNAL_USE) and verification, the kind and host of the evidence, and confidence by dimension. Never an email address, phone number or a person's page: routes are types only, and a person known only from a data provider is returned as a role with name null. If nobody on record holds a role that owns the purpose it says so and lists the roles that would; a generic inbox is never offered as a substitute. ACCESS: without a paid DFX plan on the vertical, a list returns its first 5 rows in full and a count of the rest by type (locked.count, locked.by_type), never the rows; a record names its subject and the first 3 related names per section; contact values (email, phone, profile URLs) and decision-maker names are never returned, only their types and counts. Every answer says what it withheld in `entitlement` and `locked`. Full access: DFX Intelligence, 3 days for $1 at https://dfxintel.com/data-factory/plans.

100.0/100

1 trials · measured 1 day ago

who_to_contact scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt, 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
open
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: who_to_contact
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who_to_contact — Vouch