get_signal_calibration

shallow

io.github.speteai/agentdata-mcp · Verify this server

FREE. How often our own signals turned out right, scored against a naive baseline. Every claim is written down before the outcome exists and scored afterwards from our own recorded series. Read this before trusting any signal here — including to find out which ones we cannot yet justify charging for.

100.0/100

2 trials · measured 8 days ago

get_signal_calibration scores 100.0/100 on Vouch's measured behaviour index, from 2 real invocation trials against io.github.speteai/agentdata-mcp, 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
open
Category
Finance & compliance
Input schema
not declared
Output schema
not declared
Side-effect classification
read-onlyHeuristically read-only-eligible (readonly-heuristic.ts) and sample-called by the Phase 0 census shallow probe.

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

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: get_signal_calibration
[![Vouch score](https://vouch.tools/api/tools/a155804b-6ce5-427c-9743-bfba6bd0ad36/badge.svg)](https://vouch.tools/tools/a155804b-6ce5-427c-9743-bfba6bd0ad36)