competitive_deep_dive

Item: competitive_deep_dive
Rating: 100
Author: Vouch

shallow

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

Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).

100.0/100

1 trials · measured 8 days ago

competitive_deep_dive scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.getgapup/mcp-knowledge, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

Component	Weight	Value
Reliability	35%	not applicable
Schema integrity	25%	100.0
Failure behaviour	15%	not applicable
Latency	15%	not applicable
Concurrency	10%	not applicable

Tool details

Transport: remote
Credential class: self-provisionable
Category: Content & media
Input schema: not declared
Output schema: not declared
Side-effect classification: unclassified

Score history

Day	Score	Tier	Methodology
2026-08-25	100.0	shallow	v0.2.0

Probe evidence

Probe	Outcomes
schema_integrity	pass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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