batch_calibrate

shallow

io.github.Rupert1987/alya-hub · Verify this server

Calibrate up to 25 predictions in a single MCP call (flat $0.005 per call, regardless of batch size). Each item must include `prediction`; optional `confidence`, `domain`, `stakes`. Returns an array of calibration results matching the input order.

100.0/100

1 trials · measured 8 days ago

batch_calibrate scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Rupert1987/alya-hub, 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 + stdio
Credential class
self-provisionable
Category
Communication
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: batch_calibrate
[![Vouch score](https://vouch.tools/api/tools/48e990ed-18c8-42bf-b5cc-9376e7ba5da0/badge.svg)](https://vouch.tools/tools/48e990ed-18c8-42bf-b5cc-9376e7ba5da0)
batch_calibrate — Vouch