process_sales_agent

shallow

io.github.Misar-AI/misarreach-mcp · Verify this server

Run the sales-agent pipeline over one conversation: decide the next action and carry it out. This ACTS on a real conversation — depending on what it decides, it can reply to the prospect, create a deal, or book a meeting. It is not a dry run and there is no preview, so call it only when the user wants the agent to take its turn on that specific conversation. For what it has already done, use get_sales_agent_actions. CONSUMES AI CREDITS. Not idempotent: calling twice processes the conversation twice and can send two messages. Requires an API key, and the agent's configured confidence threshold still governs whether it acts.

100.0/100

1 trials · measured 8 days ago

process_sales_agent scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Misar-AI/misarreach-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 + stdio
Credential class
gated
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: process_sales_agent
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process_sales_agent — Vouch