{ "version": "2.2.0", "name": "AI Fin Hub Agent Tool Index", "description": "33 AI-in-markets client-side tools (calculators, comparators, playgrounds, directories, generators). Publisher voice, institutional. Education only \u2014 not investment advice. Client-side only; no signup, no tracking.", "site": "https://aifinhub.io", "disclaimer": "Planning estimates only \u2014 not financial, tax, or investment advice.", "discovery": { "homepage": "https://aifinhub.io/", "ai_markets_tools": "https://aifinhub.io/#all-tools", "research_articles": "https://aifinhub.io/articles/", "benchmarks": "https://aifinhub.io/benchmarks/", "methodology": "https://aifinhub.io/methodology/", "data_sources": "https://aifinhub.io/data-sources/", "editorial_standards": "https://aifinhub.io/editorial-standards/", "sponsor_disclosure": "https://aifinhub.io/sponsor-disclosure/", "corrections": "https://aifinhub.io/corrections/", "human_entrypoint": "https://aifinhub.io/for-agents/", "llms": "https://aifinhub.io/llms.txt", "llms_full": "https://aifinhub.io/llms-full.txt", "ai_plugin": "https://aifinhub.io/.well-known/ai-plugin.json", "webmcp": "https://aifinhub.io/.well-known/webmcp.json" }, "tools": [ { "tool_id": "kelly-sizer", "name": "Fractional Kelly Sizer", "short_name": "Fractional Kelly Sizer", "category": "Calculators", "section": "calculators", "summary": "Map conviction tiers to fractional Kelly bet sizes with a drawdown Monte Carlo simulator. Client-side. Private by default.", "url": "https://aifinhub.io/tools/kelly-sizer/", "path": "/tools/kelly-sizer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/kelly-sizer/.", "methodology": "https://aifinhub.io/methodology/kelly-sizer/", "keywords": [ "kelly criterion calculator", "fractional kelly sizer", "position sizing calculator", "conviction-scaled kelly", "kelly drawdown simulator" ], "contract": "https://aifinhub.io/contracts/kelly-sizer.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "win_probability": { "type": "number" }, "win_loss_ratio": { "type": "number" }, "kelly_fraction": { "type": "number" }, "bankroll": { "type": "number" }, "per_trade_cap_percent": { "type": "number" }, "monte_carlo_trials": { "type": "integer" }, "trades_per_path": { "type": "integer" } }, "required": [ "tool", "win_probability", "win_loss_ratio", "kelly_fraction", "bankroll", "per_trade_cap_percent", "monte_carlo_trials", "trades_per_path" ] } }, { "tool_id": "backtest-overfitting-score", "name": "Backtest Overfitting Score", "short_name": "Backtest Overfitting Score", "category": "Calculators", "section": "calculators", "summary": "Upload a backtest trade log and compute Probability of Backtest Overfitting (PBO), Deflated Sharpe Ratio, and the odds your edge survives live trading.", "url": "https://aifinhub.io/tools/backtest-overfitting-score/", "path": "/tools/backtest-overfitting-score/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/backtest-overfitting-score/.", "methodology": "https://aifinhub.io/methodology/backtest-overfitting-score/", "keywords": [ "backtest overfitting detection", "probability of backtest overfitting", "deflated sharpe ratio", "whites reality check", "pbo calculator" ], "contract": "https://aifinhub.io/contracts/backtest-overfitting-score.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "variants_count": { "type": "integer" }, "trading_days": { "type": "integer" }, "best_variant_sharpe": { "type": "number" }, "cscv_splits": { "type": "integer" } }, "required": [ "tool", "returns_csv_header", "variants_count", "trading_days", "best_variant_sharpe", "cscv_splits" ] } }, { "tool_id": "data-vendor-tco", "name": "Data-Vendor TCO Calculator", "short_name": "Data-Vendor TCO Calculator", "category": "Comparators", "section": "comparators", "summary": "Compute annual cost of market data across Databento, Polygon, Alpaca, Tiingo, FMP, and Alpha Vantage for your exact universe, bar resolution, history depth, and API call volume.", "url": "https://aifinhub.io/tools/data-vendor-tco/", "path": "/tools/data-vendor-tco/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/data-vendor-tco/.", "methodology": "https://aifinhub.io/methodology/data-vendor-tco/", "keywords": [ "market data api cost", "databento vs polygon", "databento pricing", "polygon io pricing", "alpaca market data pricing", "market data total cost ownership", "market data api comparison" ], "contract": "https://aifinhub.io/contracts/data-vendor-tco.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "symbol_count": { "type": "integer" }, "bar_resolution": { "type": "string", "enum": [ "tick", "1s", "1m", "5m", "1h", "1d" ] }, "years_history": { "type": "number" }, "include_l2_book": { "type": "boolean" }, "api_calls_per_day": { "type": "integer" }, "vendors": { "type": "array", "items": { "type": "string" } } }, "required": [ "tool", "symbol_count", "bar_resolution", "years_history", "include_l2_book", "api_calls_per_day", "vendors" ] } }, { "tool_id": "finance-mcp-directory", "name": "Finance MCP Directory", "short_name": "Finance MCP Directory", "category": "Directories", "section": "directories", "summary": "Security-graded catalog of finance MCP servers \u2014 Alpaca, Polygon, Databento, IBKR, Tradier, Tiingo, NautilusTrader. Scope, auth, idempotency, transport, schema quality, all in one place.", "url": "https://aifinhub.io/tools/finance-mcp-directory/", "path": "/tools/finance-mcp-directory/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/finance-mcp-directory/.", "methodology": "https://aifinhub.io/methodology/finance-mcp-directory/", "keywords": [ "finance mcp server", "mcp server directory", "mcp server trading", "alpaca mcp", "polygon mcp", "mcp security baseline", "model context protocol finance" ], "contract": "https://aifinhub.io/contracts/finance-mcp-directory.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "filter_by_venue": { "type": "string" }, "filter_by_scope": { "type": "string" }, "min_security_grade": { "type": "string", "enum": [ "A", "B", "C", "D", "F" ] } }, "required": [ "tool" ] } }, { "tool_id": "token-cost-optimizer", "name": "Token-Cost Optimizer", "short_name": "Token-Cost Optimizer", "category": "Calculators", "section": "calculators", "summary": "Compute the dollar cost of a trading research loop across Claude, GPT, and Gemini. Prompt length \u00d7 model \u00d7 retry \u00d7 call volume \u2192 cost per idea and per validated trade.", "url": "https://aifinhub.io/tools/token-cost-optimizer/", "path": "/tools/token-cost-optimizer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/token-cost-optimizer/.", "methodology": "https://aifinhub.io/methodology/token-cost-optimizer/", "keywords": [ "claude token cost", "gpt api cost calculator", "llm cost per query", "agent research cost", "anthropic pricing calculator", "token budget planner" ], "contract": "https://aifinhub.io/contracts/token-cost-optimizer.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "prompt_input_tokens": { "type": "integer" }, "prompt_output_tokens": { "type": "integer" }, "model": { "type": "string" }, "calls_per_idea": { "type": "integer" }, "retry_rate": { "type": "number" }, "ideas_per_day": { "type": "integer" }, "days_per_month": { "type": "integer" } }, "required": [ "tool", "prompt_input_tokens", "prompt_output_tokens", "model", "calls_per_idea", "retry_rate", "ideas_per_day", "days_per_month" ] } }, { "tool_id": "agent-skill-tester", "name": "Agent Skill Tester for Markets", "short_name": "Agent Skill Tester for Markets", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste a SKILL.md definition + sample input + your Anthropic API key. See structured extraction, token cost, and latency \u2014 all in your browser. No signup, key never leaves the page.", "url": "https://aifinhub.io/tools/agent-skill-tester/", "path": "/tools/agent-skill-tester/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/agent-skill-tester/.", "methodology": "https://aifinhub.io/methodology/agent-skill-tester/", "keywords": [ "anthropic skills finance", "claude skill tester", "agent skill evaluation", "10-k extraction claude", "llm skill playground" ], "contract": "https://aifinhub.io/contracts/agent-skill-tester.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "skill_md": { "type": "string" }, "sample_input_text": { "type": "string" }, "model": { "type": "string" }, "max_output_tokens": { "type": "integer" }, "anthropic_api_key": { "type": "string" } }, "required": [ "tool", "skill_md", "sample_input_text", "model", "max_output_tokens", "anthropic_api_key" ] } }, { "tool_id": "prompt-regression-tester", "name": "Prompt Regression Tester", "short_name": "Prompt Regression Tester", "category": "Playgrounds", "section": "playgrounds", "summary": "Run the same prompt against multiple models (Claude 4.5/4.6/4.7, GPT-5, Gemini 2.5) with your own keys. Diff outputs, score drift, catch regressions before they hit your production agent.", "url": "https://aifinhub.io/tools/prompt-regression-tester/", "path": "/tools/prompt-regression-tester/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/prompt-regression-tester/.", "methodology": "https://aifinhub.io/methodology/prompt-regression-tester/", "keywords": [ "claude prompt drift", "llm prompt regression", "prompt version comparison", "multi-model prompt test", "gpt vs claude" ], "contract": "https://aifinhub.io/contracts/prompt-regression-tester.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "prompt": { "type": "string" }, "models": { "type": "array", "items": { "type": "string" } }, "anthropic_api_key": { "type": "string" }, "openai_api_key": { "type": "string" }, "google_api_key": { "type": "string" }, "runs_per_model": { "type": "integer" } }, "required": [ "tool", "prompt", "models", "runs_per_model" ] } }, { "tool_id": "hallucination-detector", "name": "Hallucination Detector", "short_name": "Hallucination Detector", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste a source document + an LLM's extraction. Every numeric claim in the output is checked against the source. Client-side. Catches silent fabrication before it ends up in your pipeline.", "url": "https://aifinhub.io/tools/hallucination-detector/", "path": "/tools/hallucination-detector/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/hallucination-detector/.", "methodology": "https://aifinhub.io/methodology/hallucination-detector/", "keywords": [ "llm hallucination detection", "10-k extraction accuracy", "llm fact checking", "financial extraction validation", "hallucination in llm" ], "contract": "https://aifinhub.io/contracts/hallucination-detector.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "source_document": { "type": "string" }, "llm_output": { "type": "string" }, "strict_mode": { "type": "boolean" } }, "required": [ "tool", "source_document", "llm_output", "strict_mode" ] } }, { "tool_id": "kalshi-poly-arb", "name": "Kalshi vs Polymarket Arb Scanner", "short_name": "Kalshi vs Polymarket Arb Scanner", "category": "Comparators", "section": "comparators", "summary": "Daily-refreshed scan of arbitrage candidates across Kalshi and Polymarket. Paired contract matching, tax + resolution-risk overlay, no signup. Edge data rendered client-side from static JSON.", "url": "https://aifinhub.io/tools/kalshi-poly-arb/", "path": "/tools/kalshi-poly-arb/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/kalshi-poly-arb/.", "methodology": "https://aifinhub.io/methodology/kalshi-poly-arb/", "keywords": [ "kalshi polymarket arbitrage", "prediction market arb", "kalshi vs polymarket", "prediction market edge", "polymarket arbitrage scanner" ], "contract": "https://aifinhub.io/contracts/kalshi-poly-arb.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "min_edge_bps": { "type": "number" }, "max_tax_haircut_percent": { "type": "number" }, "include_resolution_risk_flags": { "type": "boolean" }, "venues": { "type": "array", "items": { "type": "string" } } }, "required": [ "tool", "min_edge_bps", "max_tax_haircut_percent", "include_resolution_risk_flags", "venues" ] } }, { "tool_id": "order-book-replay", "name": "Order Book Replay Visualizer", "short_name": "Order Book Replay Visualizer", "category": "Playgrounds", "section": "playgrounds", "summary": "Drop a Level-2 CSV and watch the book reconstruct tick by tick. Animated depth bars, best bid/ask, spread over time. Understand microstructure before you design your strategy.", "url": "https://aifinhub.io/tools/order-book-replay/", "path": "/tools/order-book-replay/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/order-book-replay/.", "methodology": "https://aifinhub.io/methodology/order-book-replay/", "keywords": [ "order book reconstruction", "level 2 replay", "lob visualization", "market microstructure visualizer", "limit order book animation" ], "contract": "https://aifinhub.io/contracts/order-book-replay.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "csv_header": { "type": "string" }, "playback_speed_multiplier": { "type": "number" }, "max_levels_rendered": { "type": "integer" }, "focus_symbol": { "type": "string" } }, "required": [ "tool", "csv_header", "playback_speed_multiplier", "max_levels_rendered", "focus_symbol" ] } }, { "tool_id": "calibration-dojo", "name": "Calibration Dojo", "short_name": "Calibration Dojo", "category": "Playgrounds", "section": "playgrounds", "summary": "Train your probabilistic intuition. Answer binary forecasting questions at any confidence level; track Brier score and reliability curve over time. All state stored locally.", "url": "https://aifinhub.io/tools/calibration-dojo/", "path": "/tools/calibration-dojo/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/calibration-dojo/.", "methodology": "https://aifinhub.io/methodology/calibration-dojo/", "keywords": [ "calibration training", "brier score trainer", "forecasting practice", "probabilistic thinking game", "calibration reliability curve" ], "contract": "https://aifinhub.io/contracts/calibration-dojo.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "session_length_questions": { "type": "integer" }, "difficulty": { "type": "string", "enum": [ "easy", "medium", "hard" ] }, "domain_filter": { "type": "string" } }, "required": [ "tool", "session_length_questions", "difficulty", "domain_filter" ] } }, { "tool_id": "trading-system-blueprinter", "name": "Trading System Blueprinter", "short_name": "Trading System Blueprinter", "category": "Generators", "section": "generators", "summary": "Pick your data source, LLM, broker, storage, risk engine, and logger. Get a Mermaid architecture diagram, a starter repo scaffold (ZIP), and a list of open-source integrations that actually compose.", "url": "https://aifinhub.io/tools/trading-system-blueprinter/", "path": "/tools/trading-system-blueprinter/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/trading-system-blueprinter/.", "methodology": "https://aifinhub.io/methodology/trading-system-blueprinter/", "keywords": [ "trading system architecture", "algo trading blueprint", "trading stack generator", "mermaid trading diagram", "trading agent scaffold" ], "contract": "https://aifinhub.io/contracts/trading-system-blueprinter.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "data_source": { "type": "string" }, "llm_provider": { "type": "string" }, "broker": { "type": "string" }, "storage": { "type": "string" }, "risk_engine": { "type": "string" }, "logger": { "type": "string" } }, "required": [ "tool", "data_source", "llm_provider", "broker", "storage", "risk_engine", "logger" ] } }, { "tool_id": "risk-adjusted-returns", "name": "Risk-Adjusted Returns Calculator", "short_name": "Risk-Adjusted Returns Calculator", "category": "Calculators", "section": "calculators", "summary": "Paste a returns CSV. Sharpe, Sortino, Calmar, Omega, alpha, beta, tracking error, information ratio, max drawdown, and tail moments \u2014 plus a benchmark-relative block when you include one.", "url": "https://aifinhub.io/tools/risk-adjusted-returns/", "path": "/tools/risk-adjusted-returns/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/risk-adjusted-returns/.", "methodology": "https://aifinhub.io/methodology/risk-adjusted-returns/", "keywords": [ "sharpe ratio calculator", "sortino ratio", "calmar ratio", "omega ratio", "information ratio", "max drawdown", "risk adjusted returns" ], "contract": "https://aifinhub.io/contracts/risk-adjusted-returns.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "periods_per_year": { "type": "integer" }, "risk_free_rate_annual": { "type": "number" }, "mar_annual": { "type": "number" } }, "required": [ "tool", "returns_csv_header", "periods_per_year", "risk_free_rate_annual", "mar_annual" ] } }, { "tool_id": "walk-forward-validator", "name": "Walk-Forward Validator", "short_name": "Walk-Forward Validator", "category": "Playgrounds", "section": "playgrounds", "summary": "Upload a returns CSV. Rolling or expanding IS/OOS windows, per-window Sharpe, walk-forward efficiency, and a concatenated OOS equity curve. Catches regime decay that PBO alone misses.", "url": "https://aifinhub.io/tools/walk-forward-validator/", "path": "/tools/walk-forward-validator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/walk-forward-validator/.", "methodology": "https://aifinhub.io/methodology/walk-forward-validator/", "keywords": [ "walk forward validation", "walk forward efficiency", "rolling window backtest", "expanding window backtest", "out of sample sharpe" ], "contract": "https://aifinhub.io/contracts/walk-forward-validator.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "window_mode": { "type": "string", "enum": [ "rolling", "expanding" ] }, "is_window_days": { "type": "integer" }, "oos_window_days": { "type": "integer" }, "step_days": { "type": "integer" }, "periods_per_year": { "type": "integer" } }, "required": [ "tool", "returns_csv_header", "window_mode", "is_window_days", "oos_window_days", "step_days", "periods_per_year" ] } }, { "tool_id": "options-greeks-explorer", "name": "Options Greeks Explorer", "short_name": "Options Greeks Explorer", "category": "Playgrounds", "section": "playgrounds", "summary": "Black-Scholes pricer + live Greeks visualizer. Drag spot, strike, vol, DTE, rate, dividend yield \u2014 see delta, gamma, theta, vega, rho update with the payoff curve. Call + put.", "url": "https://aifinhub.io/tools/options-greeks-explorer/", "path": "/tools/options-greeks-explorer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/options-greeks-explorer/.", "methodology": "https://aifinhub.io/methodology/options-greeks-explorer/", "keywords": [ "options greeks calculator", "black scholes calculator", "delta gamma theta vega", "options pricing tool", "options greeks visualizer" ], "contract": "https://aifinhub.io/contracts/options-greeks-explorer.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "option_type": { "type": "string", "enum": [ "call", "put" ] }, "spot": { "type": "number" }, "strike": { "type": "number" }, "annual_vol": { "type": "number" }, "days_to_expiry": { "type": "integer" }, "risk_free_rate": { "type": "number" }, "dividend_yield": { "type": "number" } }, "required": [ "tool", "option_type", "spot", "strike", "annual_vol", "days_to_expiry", "risk_free_rate", "dividend_yield" ] } }, { "tool_id": "correlation-matrix-visualizer", "name": "Correlation Matrix Visualizer", "short_name": "Correlation Matrix Visualizer", "category": "Calculators", "section": "calculators", "summary": "Paste a multi-asset returns CSV. See the Pearson correlation heatmap, condition number, average absolute correlation, and eigenvalue concentration \u2014 the diagnostics for detecting redundant strategies before you allocate capital.", "url": "https://aifinhub.io/tools/correlation-matrix-visualizer/", "path": "/tools/correlation-matrix-visualizer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/correlation-matrix-visualizer/.", "methodology": "https://aifinhub.io/methodology/correlation-matrix-visualizer/", "keywords": [ "correlation matrix calculator", "portfolio correlation heatmap", "strategy correlation analysis", "eigenvalue decomposition portfolio", "condition number correlation" ], "contract": "https://aifinhub.io/contracts/correlation-matrix-visualizer.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "min_observations": { "type": "integer" }, "max_columns_rendered": { "type": "integer" } }, "required": [ "tool", "returns_csv_header", "min_observations", "max_columns_rendered" ] } }, { "tool_id": "returns-distribution-analyzer", "name": "Returns Distribution Analyzer", "short_name": "Returns Distribution Analyzer", "category": "Calculators", "section": "calculators", "summary": "Paste a returns CSV. Histogram, normal-overlay, QQ plot, skewness, excess kurtosis, Jarque-Bera test, tail-weight index. See why Sharpe alone misleads when your distribution has fat tails.", "url": "https://aifinhub.io/tools/returns-distribution-analyzer/", "path": "/tools/returns-distribution-analyzer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/returns-distribution-analyzer/.", "methodology": "https://aifinhub.io/methodology/returns-distribution-analyzer/", "keywords": [ "returns distribution analysis", "fat tails calculator", "jarque bera test", "qq plot returns", "skewness kurtosis returns", "non-normal returns" ], "contract": "https://aifinhub.io/contracts/returns-distribution-analyzer.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "histogram_bins": { "type": "integer" }, "tail_sigma_threshold": { "type": "number" } }, "required": [ "tool", "returns_csv_header", "histogram_bins", "tail_sigma_threshold" ] } }, { "tool_id": "price-blind-auditor", "name": "Price-Blind Research Auditor", "short_name": "Price-Blind Research Auditor", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste a research prompt or agent context bundle. The auditor flags price numbers, directional words, and outcome-leaking phrases that cause LLMs to retroactively rationalize positions. Builds a price-blind research boundary.", "url": "https://aifinhub.io/tools/price-blind-auditor/", "path": "/tools/price-blind-auditor/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/price-blind-auditor/.", "methodology": "https://aifinhub.io/methodology/price-blind-auditor/", "keywords": [ "price blind research", "context leakage audit", "llm price contamination", "prompt audit trading", "research prompt leakage", "price reveal llm" ], "contract": "https://aifinhub.io/contracts/price-blind-auditor.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "prompt_text": { "type": "string" }, "include_low_severity": { "type": "boolean" } }, "required": [ "tool", "prompt_text", "include_low_severity" ] } }, { "tool_id": "prompt-injection-tester", "name": "Prompt Injection Tester", "short_name": "Prompt Injection Tester", "category": "Playgrounds", "section": "playgrounds", "summary": "Red-team a finance agent against 24 documented prompt-injection attacks \u2014 direct override, role confusion, indirect injection via retrieved content, jailbreak patterns, tool-call hijack. BYO key; runs client-side against your live model.", "url": "https://aifinhub.io/tools/prompt-injection-tester/", "path": "/tools/prompt-injection-tester/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/prompt-injection-tester/.", "methodology": "https://aifinhub.io/methodology/prompt-injection-tester/", "keywords": [ "prompt injection tester", "llm red team", "agent security test", "prompt injection trading", "llm jailbreak test", "indirect prompt injection" ], "contract": "https://aifinhub.io/contracts/prompt-injection-tester.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "provider": { "type": "string", "enum": [ "anthropic", "openai", "google" ] }, "model": { "type": "string" }, "api_key": { "type": "string" }, "target_system_prompt": { "type": "string" }, "include_categories": { "type": "array", "items": { "type": "string" } } }, "required": [ "tool", "provider", "model", "api_key", "target_system_prompt", "include_categories" ] } }, { "tool_id": "efficient-frontier-builder", "name": "Efficient Frontier Builder", "short_name": "Efficient Frontier Builder", "category": "Calculators", "section": "calculators", "summary": "Paste a multi-asset returns CSV. See the Markowitz mean-variance frontier, the minimum-variance portfolio, the max-Sharpe (tangency) portfolio, and the per-asset weights for each highlighted point. Closed-form solution, client-side.", "url": "https://aifinhub.io/tools/efficient-frontier-builder/", "path": "/tools/efficient-frontier-builder/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/efficient-frontier-builder/.", "methodology": "https://aifinhub.io/methodology/efficient-frontier-builder/", "keywords": [ "efficient frontier calculator", "markowitz portfolio optimizer", "mean variance optimization", "tangency portfolio", "minimum variance portfolio", "portfolio weights calculator" ], "contract": "https://aifinhub.io/contracts/efficient-frontier-builder.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "returns_csv_header": { "type": "string" }, "risk_free_rate_annual": { "type": "number" }, "periods_per_year": { "type": "integer" }, "frontier_steps": { "type": "integer" }, "short_selling_allowed": { "type": "boolean" } }, "required": [ "tool", "returns_csv_header", "risk_free_rate_annual", "periods_per_year", "frontier_steps", "short_selling_allowed" ] } }, { "tool_id": "options-payoff-builder", "name": "Options Payoff Builder", "short_name": "Options Payoff Builder", "category": "Playgrounds", "section": "playgrounds", "summary": "Build 1\u20134 leg option strategies. Pick call/put, long/short, strike, and contracts. See the at-expiry payoff diagram, break-even points, maximum profit and loss, and the aggregated Greeks at current spot. Presets for straddle, strangle, iron condor, spreads, butterfly.", "url": "https://aifinhub.io/tools/options-payoff-builder/", "path": "/tools/options-payoff-builder/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/options-payoff-builder/.", "methodology": "https://aifinhub.io/methodology/options-payoff-builder/", "keywords": [ "options payoff diagram", "multi leg options calculator", "iron condor calculator", "options strategy builder", "straddle payoff", "bull call spread calculator", "options greek aggregation" ], "contract": "https://aifinhub.io/contracts/options-payoff-builder.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "spot": { "type": "number" }, "annual_vol": { "type": "number" }, "days_to_expiry": { "type": "integer" }, "risk_free_rate": { "type": "number" }, "dividend_yield": { "type": "number" }, "legs": { "type": "array", "items": { "type": "object", "properties": { "side": { "type": "string", "enum": [ "long", "short" ] }, "option_type": { "type": "string", "enum": [ "call", "put" ] }, "strike": { "type": "number" }, "contracts": { "type": "integer" } } } } }, "required": [ "tool", "spot", "annual_vol", "days_to_expiry", "risk_free_rate", "dividend_yield", "legs" ] } }, { "tool_id": "pair-trading-tester", "name": "Pair Trading Cointegration Tester", "short_name": "Pair Trading Cointegration Tester", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste two price series. Engle-Granger cointegration test: OLS hedge ratio, Augmented Dickey-Fuller on residuals, Ornstein-Uhlenbeck half-life, z-score time series with configurable entry/exit bands. Everything client-side.", "url": "https://aifinhub.io/tools/pair-trading-tester/", "path": "/tools/pair-trading-tester/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/pair-trading-tester/.", "methodology": "https://aifinhub.io/methodology/pair-trading-tester/", "keywords": [ "pair trading calculator", "cointegration test", "engle granger test", "augmented dickey fuller", "mean reversion half life", "statistical arbitrage tester" ], "contract": "https://aifinhub.io/contracts/pair-trading-tester.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "prices_csv_header": { "type": "string" }, "adf_lags": { "type": "integer" }, "z_window": { "type": "integer" }, "entry_z": { "type": "number" }, "exit_z": { "type": "number" } }, "required": [ "tool", "prices_csv_header", "adf_lags", "z_window", "entry_z", "exit_z" ] } }, { "tool_id": "execution-simulator", "name": "Execution Simulator", "short_name": "Execution Simulator", "category": "Playgrounds", "section": "playgrounds", "summary": "Square-root impact + linear temporary impact + latency jitter. See the real slippage of any trade size before you route it.", "url": "https://aifinhub.io/tools/execution-simulator/", "path": "/tools/execution-simulator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/execution-simulator/.", "methodology": "https://aifinhub.io/methodology/execution-simulator/", "keywords": [ "market impact calculator", "slippage calculator", "square root impact model", "almgren chriss impact", "execution cost simulator", "order latency simulator", "limit order queue position" ], "contract": "https://aifinhub.io/contracts/execution-simulator.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "side": { "type": "string", "enum": [ "buy", "sell" ] }, "order_size_shares": { "type": "number" }, "adv_shares": { "type": "number" }, "spread_bps": { "type": "number" }, "daily_vol_pct": { "type": "number" }, "participation_pct": { "type": "number" }, "latency_ms": { "type": "number" }, "latency_jitter_ms": { "type": "number" }, "reference_price_usd": { "type": "number" } }, "required": [ "tool", "side", "order_size_shares", "adv_shares", "spread_bps", "daily_vol_pct", "participation_pct" ] } }, { "tool_id": "broker-api-comparator", "name": "Broker API Comparator", "short_name": "Broker API Comparator", "category": "Comparators", "section": "comparators", "summary": "Compare Alpaca, IBKR, Tradier, Schwab, Robinhood on authentication, rate limits, order types, market data, MCP availability, and fees.", "url": "https://aifinhub.io/tools/broker-api-comparator/", "path": "/tools/broker-api-comparator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/broker-api-comparator/.", "methodology": "https://aifinhub.io/methodology/broker-api-comparator/", "keywords": [ "broker api comparison", "alpaca vs interactive brokers", "tradier vs schwab", "broker api rate limits", "retail broker api comparator", "broker api mcp", "robinhood api" ], "contract": "https://aifinhub.io/contracts/broker-api-comparator.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "must_support": { "type": "array", "items": { "type": "string", "enum": [ "stocks", "options", "futures", "crypto", "forex", "bonds" ] } }, "mcp_required": { "type": "boolean" }, "free_tier_required": { "type": "boolean" }, "max_auth_complexity": { "type": "integer", "minimum": 1, "maximum": 5 } }, "required": [ "tool" ] } }, { "tool_id": "synthetic-market-data-generator", "name": "Synthetic Market Data Generator", "short_name": "Synthetic Market Data Generator", "category": "Generators", "section": "generators", "summary": "Generate synthetic price series \u2014 geometric Brownian motion, GARCH(1,1) with volatility clustering, regime-switching bull/bear, or copula-linked pairs. Download CSV/JSON for backtest scaffolding.", "url": "https://aifinhub.io/tools/synthetic-market-data-generator/", "path": "/tools/synthetic-market-data-generator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/synthetic-market-data-generator/.", "methodology": "https://aifinhub.io/methodology/synthetic-market-data-generator/", "keywords": [ "synthetic market data", "gbm price simulator", "garch synthetic data", "regime switching simulator", "synthetic stock price generator", "backtest data generator", "monte carlo price paths" ], "contract": "https://aifinhub.io/contracts/synthetic-market-data-generator.json", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "model": { "type": "string", "enum": [ "gbm", "garch", "regime", "pair" ] }, "seed": { "type": "integer" }, "starting_price_usd": { "type": "number" }, "annualized_drift_pct": { "type": "number" }, "annualized_vol_pct": { "type": "number" }, "days": { "type": "integer" }, "trading_days_per_year": { "type": "integer" }, "garch_omega": { "type": "number" }, "garch_alpha": { "type": "number" }, "garch_beta": { "type": "number" }, "bull_drift_pct": { "type": "number" }, "bear_drift_pct": { "type": "number" }, "p_bull_to_bear": { "type": "number" }, "p_bear_to_bull": { "type": "number" }, "rho": { "type": "number", "minimum": -1, "maximum": 1 } }, "required": [ "tool", "model", "days" ] } }, { "tool_id": "financial-document-token-estimator", "name": "Financial Document Token Estimator", "short_name": "Financial Document Token Estimator", "category": "Calculators", "section": "calculators", "summary": "Paste a 10-K, 10-Q, 8-K or earnings transcript and see token count + one-pass extraction cost across eight frontier LLMs, with cache-hit toggle and context-window fit check.", "url": "https://aifinhub.io/tools/financial-document-token-estimator/", "path": "/tools/financial-document-token-estimator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/financial-document-token-estimator/.", "methodology": "https://aifinhub.io/methodology/financial-document-token-estimator/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" } }, "required": [ "tool", "n", "n", "n" ] } }, { "tool_id": "sec-filing-chunk-optimizer", "name": "SEC Filing Chunk Optimizer", "short_name": "SEC Filing Chunk Optimizer", "category": "Generators", "section": "generators", "summary": "Pick a filing archetype, tune chunk size and overlap, and see chunk count, embedding cost, and structural-boundary warnings across three chunking strategies.", "url": "https://aifinhub.io/tools/sec-filing-chunk-optimizer/", "path": "/tools/sec-filing-chunk-optimizer/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/sec-filing-chunk-optimizer/.", "methodology": "https://aifinhub.io/methodology/sec-filing-chunk-optimizer/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" }, "label": { "type": "number" } }, "required": [ "tool", "n", "n", "label" ] } }, { "tool_id": "structured-schema-validator-finance", "name": "Structured Schema Validator for Finance", "short_name": "Structured Schema Validator for Finance", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste LLM JSON output and validate against four pre-built finance schemas \u2014 research output, trade decision, risk snapshot, peer comparison \u2014 with sanity checks on unit and GAAP basis.", "url": "https://aifinhub.io/tools/structured-schema-validator-finance/", "path": "/tools/structured-schema-validator-finance/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/structured-schema-validator-finance/.", "methodology": "https://aifinhub.io/methodology/structured-schema-validator-finance/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "glyph": { "type": "number" }, "tone": { "type": "number" }, "name": { "type": "string" }, "parts": { "type": "number" }, "id": { "type": "number" } }, "required": [ "tool", "glyph", "tone", "name", "parts", "id" ] } }, { "tool_id": "agent-cost-envelope-calculator", "name": "Agent Cost Envelope Calculator", "short_name": "Agent Cost Envelope Calculator", "category": "Calculators", "section": "calculators", "summary": "Model an LLM research loop end-to-end \u2014 steps, tool calls, convergence checks, markets per day \u2014 and see per-loop, daily, and monthly cost with cost-cap recommendations.", "url": "https://aifinhub.io/tools/agent-cost-envelope-calculator/", "path": "/tools/agent-cost-envelope-calculator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/agent-cost-envelope-calculator/.", "methodology": "https://aifinhub.io/methodology/agent-cost-envelope-calculator/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" } }, "required": [ "tool", "n", "n" ] } }, { "tool_id": "fallback-chain-simulator", "name": "Fallback Chain Simulator", "short_name": "Fallback Chain Simulator", "category": "Playgrounds", "section": "playgrounds", "summary": "Define a provider fallback chain, simulate rate-limit and latency failures, and see p50/p95/p99 latency, success rate, total cost, and degradation-event distribution.", "url": "https://aifinhub.io/tools/fallback-chain-simulator/", "path": "/tools/fallback-chain-simulator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/fallback-chain-simulator/.", "methodology": "https://aifinhub.io/methodology/fallback-chain-simulator/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" } }, "required": [ "tool", "n", "n" ] } }, { "tool_id": "model-selector-finance", "name": "Model Selector for Finance", "short_name": "Model Selector for Finance", "category": "Comparators", "section": "comparators", "summary": "Input task, latency budget, cost budget, context size, and quality sensitivity; get ranked model recommendations with rationale \u2014 grounded in published pricing and vendor capabilities, not benchmark scores.", "url": "https://aifinhub.io/tools/model-selector-finance/", "path": "/tools/model-selector-finance/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/model-selector-finance/.", "methodology": "https://aifinhub.io/methodology/model-selector-finance/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "input_tokens_per_request": { "type": "number" }, "output_tokens_per_request": { "type": "number" }, "requests_per_day": { "type": "number" }, "cache_hit_rate": { "type": "number" }, "context_window_required": { "type": "integer" }, "thinking_required": { "type": "boolean" } }, "required": [ "tool", "input_tokens_per_request", "output_tokens_per_request", "requests_per_day" ] } }, { "tool_id": "batch-vs-realtime-cost-calculator", "name": "Batch vs Real-Time Cost Calculator", "short_name": "Batch vs Real-Time Cost Calculator", "category": "Calculators", "section": "calculators", "summary": "Jobs per day, tokens per job, model, deadline \u2014 get real-time vs batch cost side-by-side with savings estimate and batch-eligibility flag. Based on vendor-published batch pricing.", "url": "https://aifinhub.io/tools/batch-vs-realtime-cost-calculator/", "path": "/tools/batch-vs-realtime-cost-calculator/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/batch-vs-realtime-cost-calculator/.", "methodology": "https://aifinhub.io/methodology/batch-vs-realtime-cost-calculator/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" } }, "required": [ "tool", "n" ] } }, { "tool_id": "forecast-scoring-sandbox", "name": "Forecast Scoring Sandbox", "short_name": "Forecast Scoring Sandbox", "category": "Playgrounds", "section": "playgrounds", "summary": "Paste a forecast stream (probability + outcome) and see Brier score with full decomposition, log loss, reliability diagram, and bootstrap confidence intervals. Works on any prob + binary outcome CSV.", "url": "https://aifinhub.io/tools/forecast-scoring-sandbox/", "path": "/tools/forecast-scoring-sandbox/", "mode": "client_side", "notes": "Client-side tool. No API endpoint \u2014 open the URL in a browser. Methodology at https://aifinhub.io/methodology/forecast-scoring-sandbox/.", "methodology": "https://aifinhub.io/methodology/forecast-scoring-sandbox/", "input_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "n": { "type": "number" } }, "required": [ "tool", "n", "n" ] } } ], "creator": { "@type": "Organization", "name": "Orbyd", "url": "https://orbyd.app" }, "license": "https://creativecommons.org/licenses/by/4.0/" }