Retrieve the complete list of cognitive biases supported by the diagnostic engine, so you can know which biases are detectable in your text.
ISC
499,914 tools. Updated 2026-08-31 13:17
"Weights & Biases" matching MCP tools:
- Explains ASO score calculation by returning the six signal pillars with weights, maturity levels (ASO-0 to ASO-5), certification thresholds, and scoring rubric for education and documentation.MIT
- Create a portfolio from tickers using equal or custom weights, with auto-ingestion for unknown symbols and support for portfolios up to 1,000 assets.MIT
- Update an existing portfolio's name, description, weights, capital, or options positions. Only pass the fields to change; omitted fields stay unchanged.MIT
- Inspect the exchanges and spot pairs behind a Bybit index price, with their weights and current prices, to understand composition and why the index may differ from individual markets.MIT
- Update DAO membership by adding, removing, or changing voting weights. Set a member's weight to zero to remove them. Requires group admin permissions. Signs and broadcasts an on-chain transaction.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceQuery and analyze your Weights & Biases data using natural language through the Model Context Protocol.1MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables LLMs to detect cognitive biases and logical fallacies in text, list supported biases, and provide links to relevant psychology tests.322ISC
Matching MCP Connectors
Destiny Weight reading from birth date — Yuan Tiangang method.
Adversarial behavioural-bias engine — audits your decisions for cognitive biases via your own AI.
- Optimize portfolio weights using factor exposures from simulation batches. Select objectives like max Sharpe, min variance, or risk parity to achieve your investment goals.MIT
- List members of a DAO with their voting weights. Provide a DAO name, address, or group ID. Returns JSON array with address, weight, metadata, added_at. Optionally set a limit (default 100).MIT
- Retrieve the ASO framework reference: six signal pillars with weights, maturity levels (ASO-0 to ASO-5), certification thresholds, and scoring rubric. Use it to understand agent readiness scoring.MIT
- Suspend the inference engine to stop serving requests and free GPU memory between bursts. Choose level 1 to offload weights to CPU RAM or level 2 to discard them; use dry_run to preview.MIT
- Retrieve historical portfolio optimization outcomes, including optimal weights, expected return, volatility, VaR, and Sharpe ratio, with optional filtering by simulation batch.MIT
- Analyze stock portfolio performance including P&L, weights, and risk by providing holdings as JSON.MIT
- Retrieve an ETF's constituent holdings and weights, heaviest first. Use to check if a ticker is an ETF and see its holdings data.MIT
- Retrieve an ETF's sector allocation by ticker, showing sector weights heaviest first. Indicates whether the ticker is an ETF and returns empty sectors if data is unavailable.MIT
- Retrieve staking pool summary for Initia L1 network: total bonded tokens, unbonded tokens, and voting power weights.Apache 2.0
- Add font entries to a typography block using Google Fonts, Adobe Fonts, custom uploads, or system fonts. Specify font family, weights, and usage role.MIT
- Get a ranked best-market decision for siting or scheduling large electricity loads. Re-weights five pillars under a lens and returns top markets with one-line rationales.MIT
- Retrieve detailed portfolio data including assets, weights, and feature sets using the portfolio ID.MIT
- Vote on VIP gauge weight distribution by assigning weights to each bridge in a specified voting cycle.Apache 2.0
- Retrieve detailed workout information for a specific date, including exercises, sets, reps, and weights from JEFit workout data.