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605,578 tools. Updated 2026-09-24 01:32

"Blockchain analysis tools with comprehensive OSINT and transaction pattern analysis capabilities" matching MCP tools:

  • Reduces a business name to Expression and root digits against a founder birth date and returns thematic suitability lists plus a harmony score. WORKFLOW: BEFORE: None — standalone. AFTER: asterwise_get_name_correction — if the entity is a person, not a brand. INPUT CONTRACT: Special characters and digits are acceptable; reduction strips non-letters per upstream rules. No local validation on name or date. DO NOT CONFUSE WITH: asterwise_get_name_correction — personal spelling alternatives, not corporate Expression scoring. asterwise_check_mobile_number — numeric line analysis, not brand letters. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-business-name-analysis/
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  • Reduces a business name to Expression and root digits against a founder birth date and returns thematic suitability lists plus a harmony score. WORKFLOW: BEFORE: None — standalone. AFTER: asterwise_get_name_correction — if the entity is a person, not a brand. INPUT CONTRACT: Special characters and digits are acceptable; reduction strips non-letters per upstream rules. No local validation on name or date. DO NOT CONFUSE WITH: asterwise_get_name_correction — personal spelling alternatives, not corporate Expression scoring. asterwise_check_mobile_number — numeric line analysis, not brand letters. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-business-name-analysis/
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  • Get comprehensive transaction information. Unlike standard eth_getTransactionByHash, this tool returns enriched data including decoded input parameters, detailed token transfers with token metadata, transaction fee breakdown (priority fees, burnt fees) and categorized transaction types. By default, the raw transaction input is omitted if a decoded version is available to save context; request it with `include_raw_input=True` only when you truly need the raw hex data. Essential for transaction analysis, debugging smart contract interactions, tracking DeFi operations.
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  • Start an async GEM (10-factor competency) analysis on a candidate. Returns a task_id and analysis_id. Poll with careerproof_task_status(task_id) until status='completed', then fetch results with atlas_get_analysis(analysis_id) or careerproof_task_result(task_id, result_type='analysis', resource_id=analysis_id). Candidate CV must be fully parsed first -- verify with atlas_get_candidate. Types: gem_full (10 cr), gem_lite (5 cr), career_path (5 cr).
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  • Retrieve a completed analysis result by analysis ID. Returns scores, competency breakdown, and recommendations. analysis_id comes from atlas_start_gem_analysis response or atlas_list_analyses. Only works after analysis is completed -- check with careerproof_task_status first. Free.
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  • Get detailed CV version including structured content, sections, word count, and audience profile. cv_version_id from ceevee_upload_cv or ceevee_list_versions. Use to inspect CV content before running analysis tools. Free.
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  • Analyze user-submitted face photos with a complete report or 13 focused face-analysis tools.

  • MCP server for SEO and web analysis data including keyword rankings, backlink profiles, site audits, and traffic analytics for AI agents.

  • Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache
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  • Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Get comprehensive transaction information. Unlike standard eth_getTransactionByHash, this tool returns enriched data including decoded input parameters, detailed token transfers with token metadata, transaction fee breakdown (priority fees, burnt fees) and categorized transaction types. By default, the raw transaction input is omitted if a decoded version is available to save context; request it with `include_raw_input=True` only when you truly need the raw hex data. Essential for transaction analysis, debugging smart contract interactions, tracking DeFi operations.
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  • Find indexed native-XGR transactions using time, value and address filters before choosing a transaction for Relation Graph or Value Flow analysis. Typical use: all native transfers in the last 24 hours above a given XGR/wei amount. Results are read-only and cursor-paginated for latest/oldest sorting.
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  • List all positioning sessions (market analysis through lens selection to targeted edits). Returns an array of session objects with id, status, cv_version_id, and created_at. Use the session id with ceevee_get_positioning_session for full details including analysis results, edits, and PDFs. Free.
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  • Get Lenny Zeltser's expert malware analysis report writing guidelines. Topics include capabilities, confidence, pyramid_of_pain, anti_patterns, methodology, fields, handoffs, frameworks, plus tone, words, structure, and executive_summary topics that defer to `get_security_writing_guidelines` for canonical Five Elements guidance. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Update a product owned by the caller. Re-runs analysis if the kernel_version, arch, or referenced .config changed. To change the .config, first POST the new file to ``/api/configs/uploads`` (see ``create_product`` for the curl recipe) and pass the returned ``config_upload_id`` here. Leave ``config_upload_id`` as ``None`` to keep the existing .config. ``factor_ids=None`` leaves factor selections untouched; an empty list clears them. Same tier gates as PUT /api/products/{id}. A change that re-runs analysis (``kernel_version``, ``arch``, or the ``.config``) spends one unit of the team's shared monthly analysis allowance and can fail with the same durable "Monthly analysis limit reached … [429]" quota error as ``create_product`` (distinct from the transient rate-limit 429 — don't retry it). A rename / description / factor-only edit runs no analysis and is free.
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  • Audit a public OpenAPI/Swagger spec (JSON or YAML) for API contract changes: breaking-change detection, API drift detection and semantic specification comparison, suitable for ongoing spec monitoring. The paid analysis compares the spec with the service's last stored snapshot of that URL (the first check records the baseline) and returns a deterministic JSON report, classifying changes to endpoints, methods, request/response fields, types and required/optional status as breaking, potentially breaking, non-breaking or informational, plus a Markdown summary. Cost: 0.10 USDC per completed analysis via x402 on Base (eip155:8453), settled only after the analysis is computed. This MCP tool itself is free: it validates the URL and returns the x402 endpoint and payment terms; it does not run the analysis or move funds. To get the analysis, POST {"url": "<spec URL>"} to the returned endpoint with an x402-capable HTTP client.
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  • Claim MolTrust credits from a USDC deposit on Base. After sending USDC to the MolTrust wallet on Base (L2), submit the transaction hash to receive credits. 1 USDC = 100 credits, verified on-chain. Args: tx_hash: Base blockchain transaction hash (0x...) did: Your agent's DID to credit
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  • Show a complete SIXTA analysis on a realistic sample (a gnarly production query plus its EXPLAIN output) for PostgreSQL or MySQL — no input needed. Offer this to first-time or empty-handed users who want to see what SIXTA finds before pasting their own SQL. Not for analyzing real artifacts — use the analysis tools for those.
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  • Generates a comprehensive land analysis report for a US property through one of four analytical lenses: off_grid, rural_residential, recreational, or investment. Call this when the user asks for a full analysis of a specific property. If the user's intent is unclear, ask which mode to use before calling. Returns a report ID and poll URL — the final structured report (scores, confidence ratings, narrative summary, source citations) is delivered asynchronously via polling or webhook. Consumes one analysis credit from your AcreLens account.
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  • List all top-tier federal agencies with toptier codes, agency slugs, budget authority amounts, and obligation totals for the current fiscal year. Use this as the entry point for agency navigation — toptier codes and agency slugs are required inputs for usaspending_get_agency and agency-based filters on spending analysis tools.
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  • Detect "white horse" / nominee director patterns — 3 surface indicators (age outlier, multi-board membership, recent appointment) computable from ARES data alone. Returns indicator breakdown with riskScore 0-100. Pro Compliance tier or higher. For 8-indicator deep analysis including ISIR cross-reference, sanctions, address crowding and phoenix pattern, see detect_nominee_director_rich in @czagents/ddplus.
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  • List all available AI agents and their capabilities. SendIt includes 12 specialized agents: • Strategy Planner - Content strategy from audience/trend analysis • Content Ideation - Topic ideas from trends and calendar gaps • Multi-Format Composer - Platform-optimized content from a brief • Creative Asset - AI image/video generation orchestration • Variant Repurposer - Repurpose content for different platforms • Calendar Optimizer - Optimal posting time suggestions • Listening Analyst - Social mention and sentiment analysis • Inbox Reply - Contextual reply drafts with brand voice • Campaign Builder - Ad campaign structure recommendations • Budget Optimizer - Spend pacing and budget reallocation • Experimentation - A/B test design and analysis • Executive Insights - Executive summary reports
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  • Get AI-powered deal scoring and market insights for a vehicle. Returns comprehensive analysis including: • Deal score (1-100) with rating (Great, Good, Fair, Poor) • Price comparison vs market average • Days on lot analysis • Price history and trends • Similar vehicles in the market Core step in vehicle_dossier, budget_coach, price_drop_sniper, and dealer_crawl playbooks. Pair with get_vehicle_history and check_recalls for buy/no-buy answers.
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