analyze_company

shallow

io.github.AIDataNordic/nordic-financial-mcp · Verify this server

AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

100.0/100

1 trials · measured 8 days ago

analyze_company scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.AIDataNordic/nordic-financial-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
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: analyze_company
[![Vouch score](https://vouch.tools/api/tools/c0aba49a-bb84-4465-a07b-c525e07467c2/badge.svg)](https://vouch.tools/tools/c0aba49a-bb84-4465-a07b-c525e07467c2)
analyze_company — Vouch