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510,248 tools. Updated 2026-09-03 22:38

"Prediction methods or tools for Polymarket outcomes" matching MCP tools:

  • Purpose: Cursor-paginated bulk export of the prediction -> trade -> outcome chain — paper trades with realized P&L, each linked (best-effort, same-symbol 2h window) to the signal prediction that preceded entry. Built for pipeline consumers who need offline backtesting data, not conversational snippets. Triggers: "give me your full trade history for backtesting", "bulk export trades", "예측이 실제 매매 성과로 이어졌는지 원데이터로 검증하고 싶다", "download outcomes". When to call: offline verification, periodic ingestion into a research pipeline, or auditing whether signals translate into realized outcomes. Prerequisites: none. For the prediction ledger itself use get_resolved_predictions. Next steps: follow next_cursor until has_more=false; get_resolved_predictions to cross-check linked predictions against the tamper-evident ledger. Caveats: linkage is temporal matching, NOT a foreign key (see meta.linkage). Paper trading only — envelope carries the standard disclaimer once per page. Output: full_data { market, trades[] {id, symbol, action, entry/exit price+ts, profit_loss_pct, holding_duration, entry_signal_score, regime fields, policy_version, sizing fields, linked_prediction{...}|null}, count, linked_prediction_count, next_cursor, has_more, meta }. Args: market: "crypto" (default) / "kr_stock" / "us_stock" cursor: last trade id from previous page (0 = start) limit: page size (max 500) days: exit-time window in days (max 120) Disclaimer: Information only, not investment advice.
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  • Get a Chinese-metaphysics signal on a binary prediction-market question (Polymarket/Kalshi style yes/no outcomes). Use when a user — or a trading agent — wants an UNCORRELATED, for-fun read on a market: 'will X happen by date Y'. Returns a lean (yes/no/neutral), a confidence, the 五行 reasoning from the resolution date's energy, and a mandatory disclaimer. This is ENTERTAINMENT and a falsifiable ritual — NOT financial advice. Always present it as a novelty signal, never as a recommendation to place a bet.
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  • Find out whether a Canton Improvement Proposal (CIP) was actually acted on ON CHAIN, and how. Returns every DSO governance vote request whose text cites this CIP, with outcomes and dates. This answers 'was it decided', which the mailing-list tools cannot: get_cip_votes reads the discussion on the cip-vote list, this reads the ledger. Example: CIP-0116 (Featured App Locking) is cited in dozens of requests that paused apps for non-compliance. Canton ecosystem only, not Cardano or other CIP schemes.
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  • Runs a Monte Carlo simulation over a portfolio balance and returns the distribution of possible end values: percentiles, mean, median, and if you give a goal amount, the share of simulated paths that reached it. Returns are drawn from a normal distribution using the expected return and volatility you supply. Use when the user asks about the range or probability of outcomes rather than a single projected number, for example the odds of reaching a target, or how much volatility widens the spread. Do not use it to value a company (use calculate_dcf_value or get_stock_valuation), and do not use it for retirement withdrawal, tax, or drawdown-sequencing questions, which it does not model. The simulation propagates the assumptions you give it. Normally distributed returns understate real market tail risk, and the output is a property of the inputs, not a prediction about any real portfolio.
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  • Submit YOUR probability forecast on a live prediction market and build a public, audited track record. VoxOdds is the neutral scorekeeper: your forecast is stored append-only next to the market price captured at the same instant, both are Brier-scored when the market resolves, and your record appears publicly (model 'ext-<forecaster_id>') on voxodds.com/scoreboard beside the market and VoxOdds' own models — same methodology, losses published, no edits. Use list_trending_markets to find a market_id. `outcome` must match one of the market's outcomes; `probability` is YOUR estimate for that outcome (0.01-0.99); `forecaster_id` is your stable handle (3-32 chars, a-z 0-9 dash). Free; forecasts cannot be deleted or revised.
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  • Search Polymarket for events and markets by name, topic, URL, or slug. **PM building blocks:** - An **event** is a grouped prediction topic containing many child markets. - A **market** is one tradable outcome with its own `marketId`. - Example: `2026 NCAA Tournament Winner` is an event; `Will Duke win the 2026 NCAA Tournament?` is a market. Detail tools require `marketId`, not `eventId`. **When to use:** - First tool when the user asks about a specific PM topic, event, slug, or Polymarket URL but does not provide `marketId`. - Optionally provide `queryVariant` as a cleaner short keyword version. - Set `includeEventMarkets` to true to also return child markets for the best-matching event. - Do NOT use `general_search` for prediction markets. - Results include current outcome prices, last trade price, and bid/ask inline — for a quick probability check you may not need `prediction_market_ohlcv`. For price *history* or dated moves, still use `prediction_market_ohlcv`. **Query tips:** - Uses Polymarket's search API — natural language queries work well. - Prefer short 1–3 keyword queries for best results. - Avoid broad multi-topic queries like `bitcoin ethereum politics`. **Output rules:** - If lookup returns no suitable market or a mismatched timeframe, say so explicitly — do not silently substitute a nearby market.
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Matching MCP Servers

  • A
    license
    A
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    C
    maintenance
    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

Matching MCP Connectors

  • Polymarket MCP — prediction-market data via Gamma + CLOB public APIs.

  • Buy a finished outcome through services, agents, marketplaces, humans, tools, or swarms.

  • Judge an external probability (e.g. a Polymarket/Kalshi price) against our sharp fair line — ONE call. Resolves the fixture, de-vigs the sharp book to a fair probability (power de-vig for 3-way 1x2), and reports the edge ``fair_prob − external_prob`` in percentage points, the ROI, and a verdict (good / marginal / no_edge). DETECTION ONLY: InferSports never ingests prediction-market data, sizes a stake, or picks — it gives you the sharp reference and the gap; the call is yours. Args: query: natural-language fixture, e.g. "France vs Argentina" or a single team. external_prob: the external implied probability for ``outcome``, in (0,1). Pre-net it for the venue's fee/spread (e.g. a Polymarket YES ask of 0.55 → 0.55). market_type: "1x2" (default; the prediction-market-comparable moneyline), "asian_handicap" (only ±0.5 maps cleanly to a binary), or "totals". period: "full_time" (default) or "half_time". outcome: which leg the probability is for — home/draw/away (1x2), home/away (AH), over/under. external_label: optional source label echoed back, e.g. "polymarket" | "kalshi". sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. Read ``caveats`` before acting: a 1x2 fair is regulation 90-min (a prediction market that includes extra time / "to advance" is a different market); quarter/integer AH carries push mass. On an ambiguous query ``status`` is "ambiguous" — do not guess. ``status`` is "no_line" when no sharp fair is available to judge against.
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  • Search NSF awards. Filter by keyword (matches title/abstract), PI name, awardee institution, NSF program, date range, US state, or country. Returns title, PI, awardee, amount, dates, program. Use get_award for full abstract + outcomes report.
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  • Open a mock prediction-market position (binary outcomes only). Requires the trade:pm scope. Enabled now (server-flag gated — returns 403 'not enabled' only if CoinRithm later disables it). idempotencyKey is REQUIRED. stakeMusd >= 10. Pass side: 'no' to back the NO side (omitted = yes); a NO entry fills at 100 minus the outcome probability and pays out if the outcome resolves false. Quote first and CONFIRM with the user. Paper trading only — virtual funds (50,000 mUSD). Not financial advice. Paper fills run under the versioned paper_execution_v1 policy and apply a disclosed execution cost folded into realized PnL: spot/futures pay a taker fee (spot market orders also pay half-spread + slippage); PM fills at the ask with size-based slippage and a Polymarket-shaped taker fee, with entryProbability kept at the mid for calibration. See the executionModel in quote/trade results — a rehearsal cost, not an exchange fill guarantee.
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  • Report unexpected tool errors or confusing Conduit outcomes for AX review (agent_report_issue — not order_feedback). Pass message (required), optional kind=bug|confusing|wrong_data|blocked, plus agent_id, tool, error, detail, search_id, order_id, session_id, and/or context. Dedupes open reports with the same tool+error+correlation. Does not change reputation.
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  • List the saved payment methods (used only to pay for flight bookings, not for cards or adding funds). Returns each method with its id, brand, last 4 digits, and expiry, and marks the default one. Use setup_payment_method to add a new one. The gated tools set_default_payment_method and remove_payment_method also exist; call them by name even though they aren't in the tools list.
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  • Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.
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  • Use this when the user asks about Johnson Bros. contact details, credentials, hours, payment methods, service area, or booking process. Do not use it for live availability or a customer-specific record.
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  • Return MCP server liveness: version, origin, tool count, and catalog size. Use for hosted inspector probes (Glama / Smithery) or before diagnosing tool failures. Do not use for business outcomes — call vc_* tools or pay(slug=...) instead. No auth required. No side effects. Returns JSON {ok, service, version, origin, tools, catalog_resources}.
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  • Returns one or more Agrus case studies (NDA-protected; customer names are kept private, codenames + technology + outcomes are open). Filter by slug or vertical, or call with no args to list all. Use this for proof of prior work.
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  • Search available CDC PLACES measures by name or category. Returns matching measure IDs, names, and categories. Use this to find the correct measure_id for other tools. Categories: Health Outcomes, Health Behaviors, Prevention, Health Status. Args: keyword: Search term (e.g. 'diabetes', 'smoking', 'prevention', 'heart').
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  • Free public detail for one prediction-market event by venue + slug: outcomes with probabilities, price snapshots, resolution evidence, crossSourceMatches (the SAME real-world question priced on other venues — read probability divergence directly from it), referenceProbability when present (CoinRithm's canonical cross-venue number: the liquidity-weighted median Yes probability across matched real-money venues, with venueCount and spreadPoints — quote all three together, venues disagree and the spread says by how much), recent whale trades on the event, related events, related news, and volumeHistory when present (daily volume points captured since 2026-07-02 — read the event's volume trend directly from it). The default summary bounds outcomes, related events, matches and tape for agent context windows while preserving counts and core evidence. Set detail=full only when the untouched provider-rich record is needed. This is the cross-venue research view; for tradability use pm_quote. No API key required.
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  • Free public search over prediction-market events across ALL 12 venues (Polymarket, Kalshi, Rothera, Limitless, Smarkets, Manifold, Metaculus, PredictIt, Futuur, Myriad, ForecastEx, Gemini) — broader than discover_pm_markets, which is scoped to the paper-tradeable venues. Returns titles, probabilities, volume/liquidity, status, and source per event, plus the five highest-probability outcomes and the full outcome count. Use pm_data_event for all outcomes and full evidence. Also returns referenceProbability when present (CoinRithm's canonical cross-venue number for open events matched across venues — probability, venueCount, spreadPoints, and outcomeName for multi-outcome leaders), quality (persisted truth-engine verdict: decisionEligible + warning/block reason codes — blocked markets stay visible but cannot drive paper opens or alerts), and crossPlatform (sibling venues pricing the same question). Research/data only: to trade, use discover_pm_markets + pm_quote instead. No API key required.
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  • Discover which matches have prediction-market odds coverage in the in-play odds tape (odds_ticks): per-match tick counts by source (polymarket = CLOB midpoint, apifootball = de-vigged bookmaker odds), in-play tick counts vs kickoff, capture span, live dataset totals (computed from the table, never hardcoded), and upcoming fixtures already mapped for capture. In-play odds are unbackfillable — a match that passed uncaptured stays uncovered. Use tokenintel_match_odds to fetch a covered match's probability curves.
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