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    Fintech Competitive Intelligence - Lite Version

    by Younna AI

    Professional fintech competitor analysis with confidence-tagged pricing, sentiment, and hiring intelligence.

    Updated May 2026
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    Free

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    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Downloadable skill package
    • Instant install

    See it in action

    THREAT SCORE: 7.2/10 [Confidence: High]
    COMPETITOR: NeoBank Alpha
    SIGNAL: 14% Pro tier increase detected + 3 Enterprise AE hires in 30 days.
    SENTIMENT: Decline (4.1 -> 3.7) on G2; top complaint 'forced AI upsell'.
    ADVISORY: Counter-position with 'Transparent Pricing' campaign targeting SMBs.

    About This Skill

    High-Fidelity Fintech Intelligence

    In the fast-moving fintech sector, manual competitor tracking is often outdated by the time it reaches your desk. This skill transforms your AI agent into a Senior CI Analyst, capable of synthesizing fragmented data points into actionable strategic briefings. It moves beyond generic summaries by implementing a rigorous 5-layer correlation methodology to ensure every insight is backed by evidence.

    Advanced Monitoring & Synthesis

    Unlike standard prompting, this skill enforces strict analytical protocols:

    • Cross-Source Verification: Automatically cross-references pricing changes against sentiment shifts and hiring signals to validate market moves.
    • Confidence Tagging: Every claim is tagged with high/medium/low confidence scores based on source reliability and data staleness.
    • Multi-Dimensional Threat Scoring: Uses a structured 4-dimension rubric to quantify competitor threats, moving from subjective "feelings" to data-driven scores.
    • Strategic Response Frameworks: Don't just identify threats—generate specific counter-positioning and response recommendations based on detected vulnerabilities.

    Structured Outputs

    The skill produces modular briefings including Pricing Analysis (A/B test detection, hidden tiers), Sentiment Analysis (Love/Hate/Want clustering), and Hiring Signals (role clustering and strategic inference). It is optimized for developers and product leads using tools like Claude Code or OpenCode who need high-signal data to drive product roadmaps.

    Use Cases

    • Detect and analyze competitor pricing changes and A/B tests
    • Synthesize customer sentiment across multiple review platforms
    • Infer product roadmaps from hiring velocity and role clustering
    • Generate 4-dimension threat scores for new market entrants
    • Recommend strategic responses to competitor product announcements

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