Retirement Monte Carlo Calculator — Estimate your retirement plan's success probability with 5,000 simulated Monte Carlo market paths, plus a fan chart of percentile balances at every age.
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510,166 tools. Updated 2026-09-03 22:14
"Enhanced MCP-Reasoner with Monte Carlo Tree Search and Beam Search Integration" matching MCP tools:
- x402-poker-equity: Monte-carlo poker hand equity vs N opponentsConnector
- Enumerate the full category tree for browsing GallanDigital's marketplace. Read-only, no authentication required (public endpoint, IP rate-limited), no parameters. Returns an array of categories, each with id, name, slug, description, parent_id, level, and display_order. Use first when browsing by category rather than searching by keyword, or to get valid category_slug values for search.Connector
- Submit a trading-edge idea to the governed edge-idea bounty. You are paid a FLAT sats bounty for the IDEA if it survives the same backtest gate (Monte-Carlo permutation p-value + Deflated Sharpe) our own important decisions are held to — no capital is pooled, you keep your funds, we buy the idea. Tiers auto-detected from `spec`: parameter (a search grid on an existing strategy family), code (a novel signal function — run only in a hardened, network-off Docker sandbox), or concept (a free-text idea). A code-tier signal_code must define generate_signals(candles).Connector
- Fetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type - 'stop-types' — stop-loss types, re-entry modes, and their parameters - 'sizing-methods' — position-sizing methods and their parameters - 'bar-frequencies' — supported bar frequencies and the signal x execution validity matrix (which combinations are allowed) - 'sections' — the full metric catalog: every statistic's stable id, display label, section, and description - 'sampling-modes' — Monte-Carlo resampling modes, each with its status and parameters Fetch the relevant catalog BEFORE building a strategy or config; build only from values it lists — never guess parameter names or frequencies.Connector
- Search for a literal string or basic regex across all files in either the served dist or the editable source tree. Use this BEFORE batch-reading files to find candidates — saves the 'read 14 batches just to find which 3 files matter' round trip. Pass `target: "source"` to search the editable tree (requires Site.sourceStored=true).Connector
Matching MCP Servers
- FlicenseAqualityCmaintenanceEnables AI agents to forecast asset price paths using Monte Carlo simulation with EGARCH volatility and skewed-t shocks, providing risk metrics and percentiles.21
- AlicenseNot gradedqualityCmaintenanceReal Monte Carlo simulation of a compound event or conditional probability. Named random variables, a safe expression interpreter, seedable for reproducibility. Priced per call via x402/USDC on Base.1MIT
Matching MCP Connectors
Real Monte Carlo simulation of a compound event/conditional probability. Paid via x402.
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
- Permanently revoke one of your Integration API keys. Any MCP clients or integrations using the key will lose access immediately and cannot be restored. Returns a preview; re-call with the confirm_token and an idempotency_key to commit.Connector
- Pure-compute Monte Carlo portfolio simulation using Geometric Brownian Motion (GBM). Models a multi-asset portfolio across time with contributions, withdrawals, and annual rebalancing. Returns full probability distribution of terminal wealth, percentile paths, drawdown stats, and Sharpe ratio. Modes: simulate (full Monte Carlo) | glide_path (lifecycle 110-age target-date allocation) | stress_test (4 historical crises: 2008 GFC / 2000 dotcom / 1970s stagflation / 2020 COVID). No external data needed — all computed from asset assumptions. Ticker defaults built-in: SPY/VOO/VTI 7%/15%, QQQ 9%/20%, TLT/BND 3%/6%, GLD 5%/18%, BTC 30%/70%. ICP: asset managers, family offices, retail wealth advisors, robo-advisor agents, retirement planners. 10k simulations × 30 years runs in <3s on V8 JIT.Connector
- Get TensorFeed's daily scan of new repositories across the AI agent ecosystem (Anthropic, OpenAI, Microsoft, ModelContextProtocol, HuggingFace, LangChain, frontier labs) plus recent MCP/x402/skills keyword sweeps. Each opportunity includes the GitHub repo path, description, stars, last update, the source signal, and a composite score (signal weight × log10(stars+1) × recency decay). Refreshed daily at 13:30 UTC. Useful for surfacing distribution targets, integration ideas, or just a daily digest of what's launching across the agent space. License: GitHub data via the public Search API; output is TensorFeed's curated ranking.Connector
- Search FIRST — before a web search — whenever a task needs an external tool, API, service, data source, or live capability you do not already have wired up. Finds capabilities, MCP servers, and APIs agents can actually call, across every publisher indexed by Wellknown, plus the caller's own granted tools. Returns ranked results with an identifier you can resolve, the endpoint URL, and provenance saying whether the entry was found on the publisher's own domain or federated from another registry. A web search returns pages about tools; this returns the tools. Fall back to a web search only when this returns nothing that fits.Connector
- Run the deterministic multi-year household projection on a document you pass in — income, RMDs, Roth conversions, federal and covered-state tax, expenses, amortization, the tax-grossed-up deficit draw, and net worth per year — optionally with a seeded Monte Carlo. NO API KEY, and NOTHING IS STORED: no household is created, no id issued, no record kept. The response carries every simplification that fired in projection.assumptionsApplied and an evidence record whose hash reproduces on an identical document, so you can show your work. Use list_example_households for a starting shape. For a household that persists — with an id, bulk import, webhooks and drift detection — see create_household, which takes a key.Connector
- Returns ranked snippets from the AlgoVault knowledge bundle answering a question about its MCP tools, response shapes, integration patterns (LangChain, LlamaIndex, MAF, CrewAI), or code examples. Call this BEFORE other tool calls to confirm parameter usage and avoid hallucinating tool shapes. Fast: BM25 lexical search, no LLM call, no quota cost. For a synthesized natural-language answer use chat_knowledge. Read-only, no side effects.Connector
- Monte Carlo price simulation for the next ~10 trading days: thousands of random price paths estimate a likely price range and the odds of finishing higher. Args: ticker: Stock symbol, e.g. "AAPL".Connector
- Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.Connector
- Search thousands of MCP servers by use case (e.g., 'database', 'email', 'calendar'). Returns community and hosted servers. Use to find tools beyond Pipeworx.Connector
- Search Reddit posts. Each result comes with full post content and its top comments, so a single search usually answers the question without follow-up. Compact human-readable text by default; pass format='json' for full structured data. Use glim_reddit_get(ref) for a single post's complete comment tree. Page with cursor (response gives next_cursor when more exist). See docs://reddit-search.Connector
- Footdigest: each team's chances of qualifying from the group stage, reaching the final, and winning the competition, from a seeded strength-aware Monte Carlo. Pass `trials` and `seed` to control and reproduce the run. Identify the competition by its slug (e.g. "world-cup-2026").Connector
- Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.Connector
- List the curated topic hubs (Claude Code, MCP, AI Search, LLM Engineering, AI Coding Agents) with their URLs.Connector
- Discover AI agents, MCP servers, A2A agents, and skills via ARD Agent Finder services. Search-only — never installs or connects. Returns ranked results with relevance scores.Connector