tengu_ml_health

shallow

io.github.Hlobo-dev/tengu-firm · Verify this server

ML pipeline freshness probe: has_predictions, has_weights_history, latest_as_of_ts, n_tickers. Call when the user asks whether the ML pipeline is healthy or why predictions look missing/stale.

100.0/100

1 trials · measured 8 days ago

tengu_ml_health scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Hlobo-dev/tengu-firm, measured 25 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
unreachable
Category
Finance & compliance
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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: tengu_ml_health
[![Vouch score](https://vouch.tools/api/tools/be7ff1df-8402-4bc1-9680-73538644c45f/badge.svg)](https://vouch.tools/tools/be7ff1df-8402-4bc1-9680-73538644c45f)
tengu_ml_health — Vouch