"author:i-dot-ai" matching MCP tools:

• describe_assessment

  TEK BOSS Small Business AI Strategy Assessment

  Use this read-only tool when a business owner asks "How can AI help my business?", "Where do I start with AI?", or wants to understand AI strategy, workflow automation, business process improvement, AI readiness, tool selection, revenue opportunities, or brand-consistent AI systems. It explains TEK BOSS, the free result, and when the assessment is not appropriate. It never retrieves customer data.

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• agent_economy

  SqueezeOS — Institutional AI Market Intelligence

  Agent Economy Intelligence Network™ (AEIN) — ComScore for AI agent commerce. Returns aggregate statistics on which AI systems (Claude, GPT, Gemini, etc.) are calling SqueezeOS APIs, conversion rates, and traffic patterns. Public summary is free. Full report with heatmap and wallet analytics costs 0.25 RLUSD. Use this to understand the AI agent commerce landscape before building on or citing SqueezeOS.

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• check_ai_readiness

  AI Readiness (hosted)

  Check whether a website is visible to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). Scores AI-crawler access, JSON-LD structured data, title/meta, Open Graph, sitemap, and llms.txt, and returns a 0-100 score, a letter grade, and a specific fix for each gap. Free.

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• diagnose_ai_visibility

  AI Furniture Hub

  URLを指定すると、そのサイトがAIエージェント（GPT/Claude/Gemini等）からどの程度「見えている」かを診断する。llms.txt、robots.txt(AIクローラー許可)、構造化データ(JSON-LD)、OGPメタタグ、寸法データ表記、越境対応度をチェックし、0-100のスコアとA-Fグレードを返す。越境対応度(cross_border_readiness)は海外AIエージェントへの可視性を評価。AIOエージェンシーのデモとして「御社の商品、AIからこう見えています」と提示できる。

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• domains.tld_details

  Vee3

  Look up detailed registry information for a single top-level domain (TLD). Returns status, TLD type, availability phase, WHOIS and RDAP servers, registry URL, domain counts, delegation dates, registry organization, administrative/technical contacts, and remarks. Pass the TLD suffix without a leading dot (for example io or com). Cost = 1 token.

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• dataflow_structure

  Statec Lu

  Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX `key`. The key has one position per dimension, in `dimension_order`; an empty position is a wildcard. Example: dataflow_structure({ dataflow_id: "DF_A1100" }).

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• list_targets

  Bring Your AI

  List Bring Your AI target tools. No harness data is accepted or returned.

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• list_products

  Bring Your AI

  List agent-readable Bring Your AI products and supported payment modes. No harness data is accepted.

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• list_models

  370.ai — AI Gateway: Video (Seedance 2.0, Wan, HappyHorse), Image, Speech + 100+ Chat Models

  List the AI models available on 370.ai (chat / image / video / audio). Free, no billing.

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• compare_validation_approaches

  Demand Discovery AI

  Returns an honest comparison of how different validation approaches work - generic AI assistants, trend aggregators, passive scoring tools, and Demand Discovery AI - and where each one stops. Use when a user is evaluating approaches, asking "what makes Demand Discovery different?", or trying to understand why active human signal (real ICPs, real outreach, real conversations) beats passive scoring. Trigger phrases: "what makes demand discovery different", "vs ChatGPT", "vs Claude", "vs other validation tools", "vs trend tools", "compared to", "validation tool comparison", "alternatives to demand discovery", "competition", "competitive landscape", "why not just use AI", "why not surveys", "why behavior over opinion", "is this different from passive scoring", "how is this better than chatgpt", "what's unique about demand discovery", "why is this better than brainstorming with AI", "do you find real people", "do you find real evidence", "how is this different from just asking an AI".

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• refine_interface

  Gravity AI UI

  Use to refine a previously generated Gravity AI UI composed payload with a natural-language instruction. This does not save or publish the result.

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• lookup_ai_tool_risk

  Shadow AI List

  Look up an AI tool by name, vendor, or domain and return its AI Exposure Index risk score, risk band, category, and whether it trains on user data. Covers the free top 100.

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• check_domain_against_registry

  Shadow AI List

  Check whether a domain or subdomain belongs to a known AI tool - i.e. whether traffic to it is shadow AI. Returns the tool and its risk if matched. Covers the free top 100.

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• get_top_risky_ai

  Shadow AI List

  Get the highest-risk AI tools by AI Exposure Index risk score. Returns name, domain, category, and risk score + band. Covers the free top 100.

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• get_stock_research

  Stocklake — AI Stock Intelligence

  Full AI research bundle for a stock in one call — fundamentals, AI-generated summary, recent AI-classified news, insider/institutional signal, and active trade signal. Replaces 4 separate calls: get_stock + get_stock_news + get_insider_activity + get_signals (for one symbol). Returns: - stock: price, name, sector, rsi, pe_forward, market_cap, 52-week range, analyst data - ai_summary: verdict, confidence, flag_score, full summary, key_points, risks, price_at_generation, generated_at - news: last 3 high-relevance articles (title, published_at, ai_sentiment, ai_flag_score, ai_summary) - sentiment: signal, confidence, insider_trend (buying/selling/neutral), institutional_pct - signal: active trade signal for this symbol, if any (direction, conviction, rationale) All data is pre-computed by the Stocklake AI pipeline — no live AI calls on request. Pro tier only. For informational purposes only. Not financial advice.

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• get_earnings_intelligence

  Stocklake — AI Stock Intelligence

  Upcoming earnings with AI context — flag scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_flag_score: only return stocks with AI flag score >= this value (optional) Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict, ai_flag_score, ai_confidence (nightly AI pipeline) - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.

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• browse_catalog

  ai-commerce

  Browse the AI Commerce product catalog. Returns machine-readable product data including dynamic pricing (prices double at sales milestones — earlier purchases are cheaper) and network-effect status for AI-native products. No auth required.

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• get_product_details

  ai-commerce

  Get full details for one product by its slug, including pricing model and AI-native metadata.

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• register_agent

  ai-commerce

  Register this AI agent as a customer and receive an API key. Required once before purchasing. The api_key is returned only once — store it.

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• fetch_dataset

  Bis

  Fetch tidy rows from a BIS dataflow. flow_ref examples: "BIS,WS_CBPOL_D,1.0" (daily policy rates). The key string is a dot-separated dimension filter (e.g., "D.US" — frequency.country). Use start_period / end_period like "2020", "2020-Q1", "2020-01".

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