paid_ads_optimizer

shallow

io.github.getgapup/gapup-mcp · Verify this server

Optimiseur de publicités payantes — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Spendesk (Google + LinkedIn · €45k/mo) — €9k/mo gaspillés identifiés · ROAS LinkedIn ×2.4. Inputs are validated server-side — send the documented case fields.

100.0/100

1 trials · measured 8 days ago

paid_ads_optimizer scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.getgapup/gapup-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
self-provisionable
Category
Legal & government
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: paid_ads_optimizer
[![Vouch score](https://vouch.tools/api/tools/fa6ac986-8934-45f2-9d30-aa6e70eaeb15/badge.svg)](https://vouch.tools/tools/fa6ac986-8934-45f2-9d30-aa6e70eaeb15)