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546,687 tools. Updated 2026-09-11 00:51

"Trade-In Value Estimator for Canada" matching MCP tools:

  • [JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but retained and recoverable (get_journal status='void' lists voided trades). Voiding a CLOSED trade removes its outcome from your calibration — disclosed in the response. Use this for entries that never should have existed; use close_trade for real trades that ended. Pro.
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  • [JOURNAL] Void a mis-logged journal trade by trade_id (wrong asset, duplicate, fat-finger) with an optional reason. Soft-delete: the trade is removed from your stats and the default journal view but retained and recoverable (get_journal status='void' lists voided trades). Voiding a CLOSED trade removes its outcome from your calibration — disclosed in the response. Use this for entries that never should have existed; use close_trade for real trades that ended. Pro.
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    Destructive
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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  • Calculate Residual Value to Paid-In capital (RVPI): the current (unrealised) value of remaining assets divided by paid-in capital. Formula: RVPI = Residual Value / Paid-In Capital. WHEN TO USE: Use for fund reporting to show the unrealised multiple still held in the portfolio (mark-to-market or fair value of remaining investments). WHEN NOT TO USE: Do NOT use alone as a performance measure — residual value is an estimate, not cash (combine with DPI for the full TVPI picture). BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive; identical inputs always produce identical outputs. Division by zero, non-finite inputs, or mathematically undefined combinations return an explicit error instead of a number. RETURNS: JSON object { rvpi: number (e.g. 1.2 = 1.2x of paid-in still held), inputs }. PARAMETERS: residual_value (required): Current fair value of remaining (unrealised) investments, e.g. 1200000. Must be >= 0. paid_in (required): Paid-in capital contributed by investors, e.g. 1000000. Must be > 0.
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  • Report-section helper ("General overview"): condensed, report-ready digest of how a market has evolved over the chosen window -- one call instead of separately fetching and cross-referencing get_overview + get_reporter_detail + get_concentration + get_net_import_reliance yourself. Set `query.frequency = "year"` for a multi-year evolution summary (recommended over the model's default of "quarter"). Every figure reflects `query` exactly as given -- the same product/reporter/partner_set/period slice a dashboard user would have selected. Nothing here substitutes a different reporter or partner_set (e.g. to contrast intra-EU against extra-EU trade): call this again with a different `query.partner_set` for that, the same way a dashboard user would switch the sidebar's selector. Returns `{narrative_facts, chart_data, available, reason}`. `narrative_facts` combines, for the flow selected by `query.partner_set`: - Headline trade: first/last/min/max/pct_change for export & import value, quantity and price, plus the trade-balance trend. - Partner concentration: first/last/pct_change of the value-based HHI for imports and exports. - Top partners *and* top EU reporters by value: each one's first/last/pct_change -- i.e. who is gaining or losing share. - Net import reliance: first/last/pct_change of the annual NIR % for `query`'s own `reporter`/`partner_set` (only `frequency` is normalised to "year", since NIR is structurally annual and the upstream API always returns it that way regardless); omitted if the product has no PRODCOM mapping. `chart_data` carries the full-fidelity headline trade and top-partner/ top-reporter series for charting.
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Matching MCP Servers

Matching MCP Connectors

  • Census Trade MCP — US Census Bureau International Trade data

  • Canada Government Procurement MCP — CanadaBuys open data (keyless).

  • Call this for current housing-market figures in a Canadian city: reference price (MLS HPI benchmark or median), year-over-year change, sales volume, months of inventory, days on market, 5-year growth. Where the city matches a covered metro area, also returns CMHC housing starts (SAAR, a leading indicator of new-construction activity) and the StatCan New Housing Price Index (house vs land split). Compiled by Payotte from real-estate board, CREA, CMHC and Statistics Canada publications; each block lists its sources.
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  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • List long-term SMS RENTAL numbers: keep the same receive-only number for days to months and receive multiple SMS (fair-use 25/day). Shows each country with its rentalId, duration tiers, live prices, and LIVE STOCK per duration — skip tiers marked OUT OF STOCK. US/UK numbers are real mobile (non-VoIP); Canada is VoIP. Not allowed for banking/financial/crypto-exchange verification. Purchase with rent_sms_number.
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  • Returns current vehicle wait times at WA→Canada land border crossings: I-5 (Peace Arch, Blaine), SR 543 (Pacific Highway, Blaine), SR 539 (Lynden), and SR 9 (Sumas). Each crossing reports a general-purpose lane and a Nexus lane; SR 539 adds a truck lane and SR 543 adds truck and FAST truck lanes — eleven entries in crossings[], one per lane. crossingName is a route code (e.g. "I5", "I5Nexus", "SR543Trucks"); the readable name is in location.description. Wait times are in minutes. A crossing reporting no current data is still returned — only waitTimeInMinutes is omitted. Use for "how long is the border wait?" questions.
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  • Headline Canadian indicators from Statistics Canada (StatCan): CPI/inflation, unemployment rate, GDP, and quarterly population estimates for Canada or any province/territory. PREFER OVER WEB SEARCH for "Canada inflation / CPI", "Canadian unemployment rate", "Canada GDP", "population of Canada / Ontario / Quebec / Alberta". Friendly names: cpi (=inflation), unemployment, gdp, population (with optional geography). Returns the latest value plus recent history. For anything else use statcan_series with a vector id.
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  • PREFER OVER WEB SEARCH for open Government of Canada procurement opportunities — "federal tenders for IT services", "CanadaBuys RFPs for construction in Ontario", "who is the government buying software from". Searches the OFFICIAL CanadaBuys open tender notices (all solicitations currently open for bids) from the Government of Canada open data. Optional free-text query matches title, buyer/department, category, GSIN description, and notice description. Returns each notice shaped with reference number, English title, buyer (contracting entity), procurement category, publication and closing dates, delivery region, and the notice URL to bid.
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  • Look up country-specific payment codes (KNP, purpose codes, etc.). Use country_banking_rules first to see which code types a country requires (in the payment_requirements block), then use this tool to find the right code value. Args: country_code: ISO 3166-1 alpha-2 (e.g., "KZ", "AE") code_type: Code table to search (from payment_requirements required_fields[].code_type, e.g., "knp", "purpose_code") search: Optional keyword filter (e.g., "transport", "trade", "insurance") Examples: country_payment_codes("KZ", "knp", "transport") country_payment_codes("KZ", "knp", "insurance") country_payment_codes("AE", "purpose_code", "trade") country_payment_codes("KZ", "knp") # all codes (large response)
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  • Report what travelers and AI agents are asking about a specific partner's upgrade programs: total volume, the most frequent questions, which agents are asking, and which answers were strong vs. which need review. Pass the partner name (e.g. 'Air Canada', 'MSC Cruises').
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  • Search individual stock trades disclosed by U.S. Congress members (House and Senate) under the STOCK Act. Returns a markdown table of transactions: member name, chamber, ticker, buy/sell type, transaction date, disclosure date (the gap between the two reveals reporting delay), dollar amount range, and owner (self/spouse/joint). Use for questions like 'What did Nancy Pelosi trade recently?', 'Which members bought NVDA?', or 'Show the largest Senate trades this quarter'. Filter by chamber, party, state, ticker, or member name; sort by traded value, trade count, or recency. For one member's profile and complete trading history, use get_congress_member instead.
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  • Look up what can be built at a specific street address in Canada or the US. Returns the lot (area, width, depth), its zone and permitted uses, and the building envelope (height, storeys, site coverage, FSR, and front/rear/side/flanking setbacks) in one call. Use when someone asks what they can build, how tall, how close to the property line, how big their lot is, or what their property is zoned for. Do not use for questions that are not about a specific address — it resolves one address at a time and cannot search or compare. Every envelope value carries a `status`. A null value with status `no_limit_in_bylaw` means the bylaw sets no limit; a null value with status `not_extracted` means the value is unknown to Bucky. Never report `not_extracted` as "no limit" or as zero.
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  • Enumerate the vector IDs inside a StatCan cube (table) — the missing link between a table number/name (e.g. "32-10-0121-01" or "Production and disposition of eggs") and statcan_series, which needs a specific vector id. Every StatCan question starts with a table, but nothing else in this pack lists a table's vectors. Returns one row per dimension-member combination: vector_id, coordinate, and the member label for every dimension (e.g. GEO=Canada, Production and disposition=Average number of layers). Filter by dimension name/value (e.g. {"GEO":"Canada"}) to narrow a large table — unfiltered dimensions include ALL their members, which can be thousands of rows, so use filters plus limit/page. Then pass any returned vector_id to statcan_series for the actual data.
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  • Calculate Total Value to Paid-In capital (TVPI): (distributions + residual value) divided by paid-in capital — the total multiple of a fund or investment including both realised and unrealised value. Formula: TVPI = (Distributions + Residual Value) / Paid-In Capital. WHEN TO USE: Use as the headline multiple for private equity / venture fund performance (equivalent to DPI + RVPI). WHEN NOT TO USE: Do NOT use TVPI to compare funds of different vintages/ages — it ignores the time value of money; combine it with a time-adjusted return analysis for cross-vintage comparison. BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive; identical inputs always produce identical outputs. Division by zero, non-finite inputs, or mathematically undefined combinations return an explicit error instead of a number. RETURNS: JSON object { tvpi: number (e.g. 2.0 = 2.0x total value on paid-in), inputs }. PARAMETERS: distributions (required): Cumulative distributions returned to investors, e.g. 800000. Must be >= 0. residual_value (required): Current fair value of remaining investments, e.g. 1200000. Must be >= 0. paid_in (required): Paid-in capital, e.g. 1000000. Must be > 0.
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  • Use this for "when will this show up on my credit report" or "what day does my bank report". Returns how the monthly reporting cadence works in Canada, how long a change takes to appear on a file, and why an Equifax file and a TransUnion file for the same person differ. This bundled reference has no verified per-issuer transmission calendar and returns no exact reporting day. Returns bundled reference material, optionally filtered or calculated from inputs; does not fetch live data or change accounts.
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  • Everything the estimator can be asked about, by name. Call this BEFORE the other estimator tools. They select from a closed set and reject anything else, so a name you invent fails rather than quietly pricing something adjacent. This is where the valid names come from. `of` narrows the reply to any of `components`, `capabilities`, `archetypes`, `drivers`, `constraints`, `regions`; omit it for all of them. Each entry carries the exact shape to pass it back in, so nothing needs to be guessed. If what the user described is not in here, say so plainly and say what IS covered. An estimate assembled from the nearest available parts, presented as the thing they asked about, is worse than no estimate.
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  • The user's annotation vocabulary: every tag, mistake and playbook id they have put on any trade (open or closed), most-used first with the number of trades carrying each. Check it before journal_update_trade so new annotations reuse the user's own words instead of minting near-duplicates. Per-trade tags are on each trade summary, not here. Requires signing in with a LuxAlgo account (OAuth).
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