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337,767 tools. Last updated 2026-07-30 03:01

"Tesla Sales Data" matching MCP tools:

  • Create a new AI sales agent. Costs 1 credit. The agent is created in DRAFT status and does not start contacting anyone — you still need to attach it to a campaign and launch the campaign. Required: name + description. Company info (name/website/description) is required BEFORE generating a sales script, so you can either pass it here OR call `set_agent_company` later.
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  • Full Cook County / Chicago property dossier (parcel basics, recorded sales & deed history, building permits, property-tax assessment history, location context) for a PIN — the one-call due-diligence record. Permits are LINKED to the PIN here (the raw permit open-data has no PIN; links are derived by address + geo match), so this is a finished record you can't reproduce with raw open-data queries. Costs $0.03 per call (x402, USDC).
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  • Get primary-market sales statistics for a token by its TokenBel internal identifier (field name: uuid). Returns a per-day series of tokens sold (derived from the cumulative instrument_log.sold counter), range totals, and a token snapshot (status, token_price, percent_rate, sold_total, total_tokens, sold_pct). Find the id via token_list first. Always a date range: omit both dates for the last 30 days, or provide date_from and/or date_to. Secondary-market data is not included.
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  • The caller's prioritized next-best sales actions: interested leads to convert, open deals gone stale enough to need a follow-up, and overdue tasks — each with a rationale and the exact governed tool to run next (convert_lead_to_deal / log_deal_activity / complete_sales_task) plus its arguments. Read-only; ranks the caller's own CRM data (overdue > convert > follow-up). Nothing is executed or sent — approve an item by calling the named write tool. Requires authentication.
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  • USE THIS before calculating VAT or sales tax on an invoice/quote — never recall the rate from memory, it is DATE-SENSITIVE. GB returns the UK standard VAT rate that applied on the given date (handles historical/temporary changes). US has no national VAT (returns 0); pass a state code for the state base sales-tax rate. Always pass the invoice date for GB.
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  • List the authenticated dealer's orders (requires an agent key), merging native WAXED checkout orders (marketplace_transactions) with Square POS sales (square_orders). Returns a compact projection per order: id (Square rows are prefixed 'square:'), source ('waxed'|'square'), status, total_cents (integer USD cents), created_at, and — when available — buyer_name, listing_title, listing_id. role defaults to 'seller'; Square POS rows only ever appear for role 'seller' (they're POS sales, never a buyer's own order). role 'buyer' returns only the caller's own WAXED purchases. Optionally filter by the unified status field and cap the count (default 50, max 200); results are sorted newest first.
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  • AI sales — prospect discovery, ICP scoring, outreach generation.

  • Federal sales intelligence: expiring-contract triggers, agency spend intel, deal qualification.

  • Legal alerts for a French company from the official BODACC gazette: insolvency proceedings, deregistrations, business sales. Paid via x402 ($0.01 in USDC or EURC).
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  • Recent arm's-length comparable sales (comps) in the same Cook County assessor neighborhood and property class as the given PIN, with an implied low/median/high price range — a derived, lightweight automated valuation you won't get from a raw open-data query. Costs $0.10 per call (x402, USDC) — the highest-value route; try get_free_sample first.
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  • List the paid ticket sales on a live event — buyer name/email, tier, amount paid (cents), discount, promo code, date (newest first). Skips free/guest-list and cancelled tickets. Requires event_id; you must be a host. Read-only.
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  • [Sales Intelligence] Enrich a single company with domain, description, industry, employee band, social profiles, and (where available) email patterns. Wraps `nexgendata/company-enrichment-tool`. Accepts either a free-form company name ("Stripe") or a domain ("stripe.com"). Args: domain_or_name: Company name or domain.
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  • Find B2B sales leads matching an industry / geography / size filter. Wraps `nexgendata/b2b-leads-finder`. Returns company-level leads with names, domains, and (where available) job-title contacts that match a Marketing Manager / sales-decision-maker profile. Use `enrich_lead_list` afterwards to add contact info. Args: industry: Industry vertical (e.g. "fintech", "SaaS", "healthcare"). country: Optional country / region filter (e.g. "Singapore", "USA"). employee_band: Optional LinkedIn-style size band ("11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001+"). limit: Max leads to return (1-500, default 50).
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  • Convenience: list the most recent HM Land Registry property sales for a single UK postcode (England & Wales). Returns sale price (£GBP), date, address, property type, tenure and new-build flag, newest sale first. Postcode must be UPPERCASE with a space, e.g. "SW1A 1AA".
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  • [Sales Intelligence] Build a full company profile by aggregating across multiple public sources: homepage, /about, /careers, JSON-LD schema, plus Crunchbase free-tier funding scrape when `include_funding=True`. Wraps `nexgendata/company-data-aggregator`. The richest of the company-research tools — use this when you want one record covering industry, HQ, founded date, employee band, key people, social handles, and funding history. Args: name_or_domain: Company name (e.g. "Stripe") or domain. include_funding: Include Crunchbase + news-based funding lookup.
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  • [Sales Intelligence] Track recent startup funding announcements filtered by stage and sector. Wraps `nexgendata/startup-funding-tracker`. Returns recent rounds (Crunchbase News + TechCrunch + sector press) including company, amount, round type, investors, and date. Args: stage: Optional stage filter ("seed", "series a", "series b", ...). sector: Optional sector / industry filter ("ai", "fintech", ...). days_back: Look-back window in days (default 30, max ~180).
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  • Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Use this first when a user names a card in prose and you need its canonical fields before looking up sales or market value. Returns a confidence level and which fields were resolved. This does NOT price the card or return sales — use search_card_sales or summarize_card_market for that. Trading cards only.
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  • Return a capped sample of recent comparable SOLD listings for a trading card (price + sale date), plus a market snapshot (median, range, sample size). Use this when a user asks 'what is this card selling for', 'recent sales', or 'comps'. Accepts a natural-language `query` or a structured `item`. Figures are estimates from recent sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only.
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  • List the caller's open sales tasks (activities of type 'task' not yet done), bucketed overdue / today / upcoming and ordered most-urgent-first with per-bucket counts. Close one with complete_sales_task.
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  • Sales pipeline analytics for the caller: probability-weighted forecast, per-stage $ rollup, win rate (won / decided, by count and by value), average sales-cycle days over won deals, and open-deal aging with a stale count. Read-only; computed from the caller's own deals. Requires authentication.
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  • Current representative price for one card (by card_id): headline price in USD/CNY/JPY with grading company + confidence + sample size + last sold date, plus the per-grade price ladder (PSA10/9/8, CCIC, …). Prices come from verified real sales (robust median) — never listings, never interpolated; when evidence is insufficient the tool honestly returns no price instead of inventing one. Markets are kept separate: Japanese cards with Japan-domestic activity are priced from JPY marketplace sales (not converted US prices), and Simplified-Chinese cards from Chinese market sales including CCIC-graded slabs.
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  • Get real historical sales for a release by Discogs release id: individual past sales (price, currency, date, condition) plus aggregate stats and the Discogs low/median/high range. mode "exact" = this pressing only; "all_versions" = every pressing of the master.
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