ask_agent

shallow

io.github.skakumanu/llm-pricing-mcp-server · Verify this server

Ask the LLM Pricing AI agent a question in natural language. Use for complex queries about pricing, model recommendations, cost optimisation advice, or anything that benefits from multi-step reasoning.

100.0/100

1 trials · measured 1 day ago

ask_agent scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.skakumanu/llm-pricing-mcp-server, measured 20 Oct 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
unclassified

Score history

DayScoreTierMethodology
2026-10-20100.0shallowv0.2.0

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: ask_agent
[![Vouch score](https://vouch.tools/api/tools/75bbd6e9-c1e0-4197-b78d-086a8e93653f/badge.svg)](https://vouch.tools/tools/75bbd6e9-c1e0-4197-b78d-086a8e93653f)
ask_agent — Vouch