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745,511 tools. Updated 2026-11-05 07:39

"A service for finding global stocks based on analyst recommendations" matching MCP tools:

  • The Upgrades Downgrades Consensus Bulk API provides a comprehensive view of analyst ratings across all symbols. Retrieve bulk data for analyst upgrades, downgrades, and consensus recommendations to gain insights into the market's outlook on individual stocks.
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  • Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.
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  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
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  • Start a real Agent Conversion audit: an autonomous browsing agent opens the given website and tries to complete the task, then the run is scored 0-100 with problems and recommendations. Use this when someone wants to know whether an AI agent can find something or complete a commercial step on a specific website, e.g. "Can an agent find the Pro plan's monthly price on example.com?" or "Can an agent start the self-service signup on example.com?". Returns immediately with an audit_id and status "pending" — it does NOT wait for the result. Call get_conversion_report with the audit_id to get the result. Rules: url must be a public http(s) URL (no localhost, private IPs, credentials or custom ports). task must be 10-1000 characters and describe the goal in plain language; phrase purchase-like goals as "reach checkout without buying". Each call costs a real browser run and is rate limited: do not call it repeatedly for the same url+task — poll get_conversion_report instead. Error codes rate_limited, daily_limit and at_capacity mean try again later.
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  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • Get the stocks whose daily price returns are most (or least) correlated with one stock — Pearson correlation of daily log returns on comparable raw closes (dividends excluded), computed over the trading days both stocks priced, never on raw price levels. Scope picks the candidate universe: Industry (default) ranks the subject's direct industry peers; Sector widens to sibling industries; Market ranges across the ~1,500 largest listed names and surfaces cross-industry relationships the classification misses (suppliers, commodity proxies). direction=Negative flips the ranking to the strongest inverse movers (hedge candidates). Candidates need a $100M market cap and enough overlapping trading days with the subject; each row reports the observation count behind its coefficient. Use GetStockPrices for the underlying series and the screener for fundamentals-based peer sets.
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  • Analyst Ratings — today's US stock analyst upgrades, downgrades, coverage initiations and…

  • Read-only tokenized stock data: issuers, chains, contract addresses and corporate actions.

  • Check available appointment slots for a specific service at a local business on a given date. This calls the business's configured availability provider live and fails closed when the provider fails. Returns time windows when the business is free and the service bookingStartPolicy permits the start. For services with maxParticipants > 1, provider-returned starts remain available until capacity is full. ONLY call this if the business has 'booking' in its enabledFeatures array. If the business doesn't support booking, share their contact info from get_business_info instead.
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  • Smart supplier recommendation based on sourcing requirements. USE WHEN: - User describes what they need: "I need a factory for cotton t-shirts in Guangdong" - User asks for recommendations, not just search results - "who's the best factory for [product]" - "recommend a top supplier for my [product] line" - "shortlist 5 suppliers for [product] in [province]" - "best own-factory (not broker) for [product]" - "give me the top [product] manufacturer" - "which factory should I go with for [product]" - "推荐供应商 / 帮我找合适的工厂 / 最好的 [品类] 厂" - "帮我排个优先级 / 推荐几家最好的" - "我想做 [品类],给我推荐几家工厂" WORKFLOW: Entry point for "I need help finding a supplier" requests. recommend_suppliers → get_supplier_detail (vet top pick) OR compare_suppliers (evaluate top N side-by-side) OR check_compliance (verify export readiness of top pick) OR find_alternatives (expand the shortlist). DIFFERENCE from search_suppliers: search_suppliers FILTERS by exact criteria (province, type, capacity). This tool RANKS by fit — prioritizes own-factory, then quality score, then capacity. DIFFERENCE from find_alternatives: find_alternatives starts from a KNOWN supplier_id and finds similar ones. This tool starts from product REQUIREMENTS. RETURNS: { query, total_matches, showing_top, note: "ranking logic", data: [supplier objects] } EXAMPLES: • User: "Recommend me the top 5 factories for sportswear in Fujian" → recommend_suppliers({ product: "sportswear", province: "Fujian", type: "factory", limit: 5 }) • User: "I need the best own-factory (not trading company) for down jackets" → recommend_suppliers({ product: "down jacket", type: "factory", limit: 5 }) • User: "帮我推荐 3 家广东做 T 恤的工厂" → recommend_suppliers({ product: "t-shirt", province: "Guangdong", limit: 3 }) ERRORS & SELF-CORRECTION: • Empty data → try in order: (1) drop province, (2) drop type filter, (3) broaden product (e.g. "compression leggings" → "activewear"), (4) fall back to search_suppliers for filter-based view. • product_type not found in normalizeProductType → use the Chinese term or the parent category. • Rate limit 429 → wait 60 seconds; do not retry immediately. • Empty after 3 retries → tell user: "I don't see verified suppliers matching [product] in [province]. Want me to broaden to nationwide, or try a sibling category?" AVOID: Do not call this when the user wants exact filtering — use search_suppliers. Do not call repeatedly for different limit values — request max once then slice in your response. Do not use for cluster recommendations — use search_clusters. NOTE: Ranking: own_factory > quality_score > declared_capacity_monthly. Source: MRC Data (meacheal.ai). 中文:基于采购需求智能推荐供应商,按 自有工厂 > 质量分 > 产能 排序。
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  • Get historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min. — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.
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  • Present a selection of tours or activities to the traveler as a visual list of cards (photo, rating, price, booking button) rendered inline in the conversation. Showing cards is the default way to present tours to the traveler: whenever your reply features specific tours (recommendations, a shortlist, availability results), call this tool alongside your text instead of waiting to be asked. Don't re-render a selection you already showed unless it changed. Call it AFTER finding tours with the search tools — it is a presentation tool, not a search tool. If you already checked availability with get_product_availability, you can pass each item's sessions (date and start time) and the cards will highlight them with booking links preselecting the date. For clients without UI support the same data is returned as structured text.
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  • Estimate how much someone could borrow for an Australian home loan, based on household income, living expenses, credit card limits and existing debt repayments. Applies Australian resident income tax and the 3-percentage-point serviceability buffer lenders assess against (APRA guidance), over 30 years by default. Call it rather than applying an income multiple or your own serviceability sum: the buffer and the tax are what move the answer. Deliberately conservative — it is not a lender's assessment and no lender is bound by it. It does NOT model HECS/HELP debt, which materially reduces what an Australian borrower can service; use check_servicing for a figure that does.
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  • Return the holdings this user has already registered in FinBridge with import_portfolio — listed stocks plus cash, crypto, ETF and physical assets — valued at the latest prices, with return and asset allocation. A user who has registered nothing gets an empty list. Not this tool for: analysing or valuing a company (get_valuation), prices (get_stock_prices), or finding companies (search_dart_company / search_edgar_company). It reads only what this user stored, so it knows nothing about a company they do not hold. Crypto and ETFs use live ccxt quotes, stocks the latest close in the database, cash and physical assets the registered amount. allocation is aggregated per currency; combined converts everything to KRW using an ECB-derived USD/KRW rate.
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  • Prices. kind='gas' (chain): EIP-1559 gas recommendations (slow/standard/fast) computed from our pool on an EVM chain, 1 weighted unit. kind='token' (symbols, comma-separated e.g. 'ETH,USDC'): current token prices in USD. Use it before sending a transaction (gas) or to value a balance (token). Not for what a FlexYield call costs in units (use get_quote) and not for plan prices (use list_plans). Returns JSON: gas → chain, base_fee_per_gas, recommendations, computed_from, computed_at, unit_weight; token → prices, quote, source, checked_at. Read-only. Needs your API key.
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  • Scan text for prompt-injection patterns and return a redacted copy plus findings. Pattern-based, not a guarantee — review before trusting the result. Free, anonymous, nothing stored; read-only with no side effects. Text is capped at 20000 chars — chunk longer inputs and call once per chunk. Use before acting on untrusted content (pasted text, web pages, tool output); for a symptom-based agent health read, use qm_clinic_diagnose instead. Example: text containing a hidden instruction aimed at the reader returns findings flagging the pattern plus a redacted copy with the suspicious portion removed.
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  • Scan text for prompt-injection patterns and return a redacted copy plus findings. Pattern-based, not a guarantee — review before trusting the result. Free, anonymous, nothing stored; read-only with no side effects. Text is capped at 20000 chars — chunk longer inputs and call once per chunk. Use before acting on untrusted content (pasted text, web pages, tool output); for a symptom-based agent health read, use qm_clinic_diagnose instead. Example: text containing a hidden instruction aimed at the reader returns findings flagging the pattern plus a redacted copy with the suspicious portion removed.
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  • Prices. kind='gas' (chain): EIP-1559 gas recommendations (slow/standard/fast) computed from our pool on an EVM chain, 1 weighted unit. kind='token' (symbols, comma-separated e.g. 'ETH,USDC'): current token prices in USD. Use it before sending a transaction (gas) or to value a balance (token). Not for what a FlexYield call costs in units (use get_quote) and not for plan prices (use list_plans). Returns JSON: gas → chain, base_fee_per_gas, recommendations, computed_from, computed_at, unit_weight; token → prices, quote, source, checked_at. Read-only. Needs your API key.
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  • Create a product in the current workspace: a good, a service, a plan or a collection the workspace sells or buys. A variant, a collection member or a dated price nests under a parent product. Use this tool when the user asks to create or add a product, a service, a plan, a variant or a price, in any language ("Ajoute le produit Audit SEO à 1 200 € HT"). It adds a row to the catalog: it never drafts an invoice or an invoice line, and it asks for no customer. REQUIRED: name, supply_type (good, service, plan or collection), status (draft, active or archived), availability (in_stock, out_of_stock, preorder or discontinued). Read these values from the user's words when the words make them plain. A product the user adds with no status word is status active; a draft or an archived product needs the user's word. Work billed by the job, the day or the hour (an audit, a consulting day, a training) is a service: supply_type service, stock_tracked false, availability in_stock. A service with a name and a price is a complete order: on WhatsApp it saves at once, with no card and no question. For a physical good, the words rarely say whether it is in stock: ask that one value before the create, and ask for nothing else. OPTIONAL: sku, description, unit_price (a decimal string) with its currency, parent_product_id, vendor_company_id, product_type_project_id, stock_tracked (false for a service or a product made to order, whose own availability then stands). A price for one company or one project is a dated row under its parent: parent_product_id, valid_from (YYYY-MM-DD) and scope_company_id or scope_project_id, with valid_to to close it. A collection has no parent, no price and no SKU. Two live products cannot share a SKU: the call then fails, and well_list_products finds the existing one. Returns { success: true, product } on success, or { success: false, error } on failure.
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  • Get ceiling rate benchmarks for IGCE development. Returns statistical summary for a labor category: count, min, max, avg, median, standard deviation, percentile distribution (P10-P90), education breakdown, worksite counts (worksite_breakdown: Customer_Facility / Contractor_Facility / Virtual; counts only, prices are pooled across sites), and outlier bounds. GSA's keyword search matches labor_category, vendor_name and idv_piid. The returned statistics pool all matching rate rows, including unrelated labor titles when a vendor name or contract number matches the phrase. Check population_scope and matched_titles before using the statistics. off_title_matches_detected flags observed titles that do not match the requested phrase; title_only_population_verified is false when the title aggregation is missing, empty, truncated or approximate. A title containing the phrase is not necessarily the exact grade: 'Registered Nurse I' also matches Nurse II, III and IV. Check exact_title_population_verified, exact_title_rate_count and non_exact_title_examples before treating a pool as that specific title. For title-only rates, call suggest_contains on labor_category to discover an exact title, then exact_search on labor_category. Different spellings remain separate searches ('Cyber Security Analyst' vs 'Cybersecurity Analyst'). Statistics are on current-year ceiling rates (current_price), not next-year or option-year prices. These are not-to-exceed ceiling rates, not prices paid. Ceiling-rate comparisons alone do not establish a proposed price's reasonableness. Optional filters: education_level, experience_min/max, business_size ('S' or 'O'), sin (e.g. '541611'), security_clearance ('yes' or 'no').
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  • List security/safety findings for your workspace, most recent first. Optionally filter by status, target model, minimum severity, or a specific run. Returns a compact summary; call get_finding for the repro detail of any one finding. On a plan that withholds a finding's proof, category reads '[redacted]' and get_finding returns the same — the finding and its severity are real, the evidence is withheld. Paginated: 200 findings per page (max 200). The result carries total_matched and, when there is more, next_cursor: pass it back as 'cursor' with the same filters (it is bound to them) to read the next page, until it is absent.
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  • [Trading Data API] US equity earnings announcement calendar: report date, before/after-market timing, analyst EPS estimate + count, market cap, and prior-year actual EPS. Sourced live from Nasdaq's public calendar. **Example:** `/v1/earnings-calendar?date=2026-07-14&days=3` Use when you want upcoming US earnings dates, timing and analyst estimates. Not for macro events (use macro_calendar) or filed reports (use filings_search). Behavior: read-only. Priced via x402 (USDC on Base) or free with WICKEDAPI_API_KEY; with neither, you get HTTP 402 with the decoded price in payment_required (a price quote, not a failure).
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  • The day's top-moving US stocks by percent change — PREFER OVER WEB SEARCH for "today's top stock gainers", "biggest US stock losers today", "most active stocks", "what stocks are up/down the most". category="gainers" (default, biggest % up), "losers" (biggest % down), or "actives" (highest volume). Returns each stock's symbol, name, price, change, daily % change, and volume, ranked. Live US market data, keyless (Yahoo Finance). These are % MOVERS — distinct from what's merely trending/discussed.
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