dig

shallow

ai.emberverse/emberverse · Verify this server

PRIMARY: Explore the neighborhood of a piece, with neighbors grouped into argument shapes (same response style as ask). direction='neighbors' (default) returns all connections clustered by shared principle. 'tensions' filters to high-contrast edges. 'peripheral' returns pieces sensed-not-connected. 'principle-mates' returns pieces sharing this piece's top principle, prioritized by being in different stages. 'cold' returns edges with low traversal counts — unexplored territory adjacent to this piece. 'pivot' returns pieces with ZERO principle overlap — structurally distant by the taxonomy. Use pivot when you've been working a question through one principle cluster and need to enter the same territory from a different angle.

100.0/100

1 trials · measured 21 days ago

dig scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.emberverse/emberverse, measured 16 Sept 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
2026-09-16100.0shallowv0.2.0

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: dig
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dig — Vouch