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457,367 tools. Updated 2026-08-14 13:39

"Chase" matching MCP tools:

  • Real-time chase win-probability for a T20 run chase, updated per ball. Model AUC 0.88, beats run-rate heuristic by 8.6pts. In-play betting signal. Pay per call via x402.
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  • One stock's full Coil read: opportunity 0-100 + board percentile, entry quality and state (READY / SETUP / WAIT / CHASE / FALLING), hold strength and leadership flag, plus its book's regime. Any S&P 500, Nasdaq-100 or macro name. Unknown symbols return the valid-symbol directory. Free tier: one market day delayed. Live sibling (x402, pay-per-call): get_stock_read_live.
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  • START HERE for any question that wants a value, figure, or finding: ask one specific data question, get one synthesized answer grounded in the data or web tako cites. It is the only tool whose single response can finish the job: it reads the cited pages internally, inlines the cited cards' rows, and returns a coverage verdict. Retrieval hands back captions and links you must then chase, and every extra round trip re-sends the whole conversation. Best for: a single, self-contained data question with one answer. The `answer` is synthesized from the cited sources; the `cards` are its citations. Also the values channel for non-exportable cards: when a card is `exportable: false` (usually license-gated), ask here with its METRIC node id pinned and strict:true to get the figures. Reach past it only for a different job: `tako_search` for breadth recon (it locates data, it does not carry values), `tako_available_data` when the question is what Tako covers, the Answer Agent for open-ended research. Grounds over BOTH data and web by default. Run `tako_available_data` first when unsure the data exists — pass `metric` to get the entity+metric pair — then pin the METRIC node id it returns, with strict:true (an entity-only pin, or a pin without strict, does not steer retrieval). Cited cards inline their recent rows (see include_contents/preview_rows), so the series arrives with the answer; for full history or a cited page's text, call `tako_contents` on its url. Results arrive as markdown: the synthesized answer first, then its cited data cards (headline, exportable flag, node ids, a rows-count pointer) and web citations, then source notes. The cited cards' actual rows ride in structuredContent (cards[].content), not the markdown, alongside machine essentials (usage, guidance, chart-widget fields). The top cited card also renders inline as a chart on hosts that support it — do NOT re-post `image_url` or `embed_url` as a markdown image or link, or it renders twice.
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  • Analyze the user's whole loyalty portfolio and surface the highest-value actions. Trip-independent. Looks across every loyalty program the user holds — plus the transferable card currencies (Amex, Chase, Bilt, etc.) that can feed hotel programs — and reports points expiring soon (ranked by value at risk), the best transfer opportunities, and the largest balances. When the user's travel profile is available, it also tailors the view to their home airport, the airlines they fly, their frequent destinations, and when they travel (e.g. flagging points that expire before their usual travel months). Takes no arguments. Use this when the user asks how to make the most of their points, what's expiring, or where they can transfer. For deciding where to book a specific trip, use search_hotels / compare_rates instead. Returns: A Markdown portfolio summary, or instructions to connect accounts when none are linked.
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  • Get an execution-ready trade plan for one S&P 500 ticker — entry, exit, size, risk. This is the decision tool: it turns the raw quantum signal into a concrete, risk-first plan you can act on. Unlike get_signal (which reports the raw verdict and levels), get_trade_plan wraps them in execution discipline: - entry_plan: the exact entry trigger, a "don't chase" rule, and the invalidation level that kills the thesis. - exit_plan: a take-profit ladder (TP1/TP2/TP3), scale-out guidance, a volatility-aware trailing-stop rule, and a 3-month time-stop. - sizing: position-size suggestion, worst-case max-drawdown %, and R:R. FALSE-NEGATIVE BIAS (by design — a missed trade is cheap, a bad trade is expensive): a plan is only `actionable=true` when the verdict is BUY/EXIT AND concrete entry+stop levels exist AND risk-reward is >= 2:1. In every other case — WAIT/AVOID, missing levels, or thin R:R — the tool returns `actionable=false`, emits NO entry trigger, and states the `no_trade_reason` loudly. Treat "no trade" as the correct, common answer, not a failure. Always check regime_gate: a BUY from a scan that had no live market snapshot is lower confidence. When `data_freshness` is present the payload is saying, in a sentence, that the last scheduled run did not land and the levels predate the current tape — relay that sentence; its absence means the data arrived on schedule and needs no mention. Always check get_earnings_calendar: an entry within 5 days of a print carries gap risk a stop can't protect, and swing BUYs are suppressed there. Args: ticker: Stock ticker symbol (e.g. "AAPL", "MSFT", "NVDA"). Case-insensitive. Returns a dict with actionable flag, verdict, entry_plan, exit_plan, sizing, regime_gate, calibration, and disclaimer embedded in the payload.
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Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables AI agents to interact with Chase Bank accounts to view balances, transactions, statements, and rewards. It provides a secure, read-only interface using browser automation and stored session cookies for natural language financial management.
    11
    13
    4
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enforces pre-trade planning discipline by checking entry, stop, target, and risk/reward via a gate tool, and provides proof receipts, terminal links, and risk prompts for AI assistants.
    MIT

Matching MCP Connectors

  • Add the user's OWN Visa card to Agentcard so purchases charge that card directly — no identity verification (KYC) and no balance funding needed. Two-phase and conversational: the first call returns a secure link the user opens (about a minute: a one-time code from their bank plus a passkey); call add_card again to check whether they finished. Once added, create_card automatically issues against the added card. If the card is not eligible (for example a Chase-branded, business, or non-US card), fall back to create_card, which issues an Agentcard funded from the user's cash balance.
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  • Reconciles two sets of records — your books against a bank, platform, or supplier statement. Matches rows on a key column, compares an amount column, and returns three lists: only in A, only in B, and same key but different amount. Amounts are compared in integer cents, so 0.1 + 0.2 never invents a phantom difference for someone to chase. The response also proves the result: the listed differences are re-added and must equal the gap between the two totals, checked in code. Use for month-end close, platform payouts vs orders, or any "these two numbers should agree and do not" problem.
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  • Track how much money has been recovered through auto-chase reminders. Returns total $ recovered and count of invoices that were overdue, got chased, and then got paid. This is the "proof the platform pays for itself" metric — show users exactly how much money Admin Substitute put back in their pocket.
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  • Export the full lift compliance log as CSV text (operator or machine, requirement, next due, status, chase history).
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  • Reconciles two sets of records — your books against a bank, platform, or supplier statement. Matches rows on a key column, compares an amount column, and returns three lists: only in A, only in B, and same key but different amount. Amounts are compared in integer cents, so 0.1 + 0.2 never invents a phantom difference for someone to chase. The response also proves the result: the listed differences are re-added and must equal the gap between the two totals, checked in code. Use for month-end close, platform payouts vs orders, or any "these two numbers should agree and do not" problem.
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  • Find and chase overdue invoices. GET mode (no jobId): returns all overdue invoices with days overdue, chase level (friendly/firm/final), and total $ outstanding. SEND mode (with jobId + tone): sends a payment reminder via email (+ optional SMS) with 3-tier escalation — friendly (7+ days), firm (14+ days), final (30+ days). Includes Stripe payment link if connected. Each chase sent is logged and tracked for recovery metrics. The single most revenue-generating tool — 60-70% of friendly reminders result in payment within 48 hours.
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  • Look up the applicant tracking system (ATS) a specific large employer uses, from ResumeAI's State of ATS 2026 dataset (738 Fortune 500 / Global 2000 employers checked, 704 verified against live careers portals, June 2026 audit, re-verified July 2026). Accepts a company name or slug, e.g. 'Nike' or 'jpmorgan-chase'.
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  • Search 30,000+ decided public DOHA security-clearance decisions (1996 to present). Full-text query plus filters. Returns matching cases with outcome, date, guidelines, and a citable URL each.
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  • Find a location by NAME or address (e.g. "Shell on Riverside, Austin TX", "Chase ATM near Union Square") and get its SkimGuard card-skimmer scan status. Use this when you know what a place is called but do not have its Google Place ID — it resolves the name first, then reports scan status for each match. Pass latitude/longitude when you know roughly where the user is; it sharply improves matching for common brand names. Locations with no scan data are reported as unknown, never as unsafe.
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  • File a complaint for a customer who is unhappy with something Printing Labs did — a late or wrong delivery, a quality problem, a billing error, a request nobody answered. Creates a real ticket: the customer is acknowledged by email (and WhatsApp when possible) with a reference, the team that can actually fix it is alerted, and a task with a deadline lands on their board. Use it the moment somebody complains; do NOT use it for a question, a quote chase or a price negotiation.
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  • Export the full driver qualification file report as CSV text (driver, item, due date, status, chase history).
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  • Given a user's credit band (and optionally income), return cards they would typically qualify for, surfacing issuer application rules (e.g. Chase 5/24) and any income floor. Only cards that publish a credit requirement can be answered; cards with no published requirement are counted in `unknownCount`, never listed as qualifying. This is a likelihood signal from published guidance, not an approval guarantee.
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  • Fetch one decided DOHA case in full: what was alleged, the judge's findings per allegation, per-guideline formal findings, outcome, judge, representation, and appeal history. Use case_id from search_cases.
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