search_corpus

shallow

ai.emberverse/emberverse · Verify this server

Search Emberverse pieces by structural pattern, not just keywords. Describe what you're trying to understand in plain language — the mechanism, the dynamic, the feeling of the problem — and the search finds pieces whose kernels instantiate the same structure, even if they share no vocabulary with your query. A query like 'two processes that keep drifting back into sync' will surface pieces about entrainment, phase-locking, and mutual constraint that a keyword search would miss entirely. Use consult() instead if you want synthesized insights rather than a candidate list.

100.0/100

2 trials · measured 21 days ago

search_corpus scores 100.0/100 on Vouch's measured behaviour index, from 2 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
read-only— Heuristically read-only-eligible (readonly-heuristic.ts) and sample-called by the Phase 0 census shallow probe.

Score history

DayScoreTierMethodology
2026-09-16100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1
sample_callpass: 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: search_corpus
[![Vouch score](https://vouch.tools/api/tools/1cfded1e-785a-4946-ab14-37e569c92c03/badge.svg)](https://vouch.tools/tools/1cfded1e-785a-4946-ab14-37e569c92c03)
search_corpus — Vouch