Retrieve detailed information about a specific cost anomaly using its ID, including affected resources and cost impact.
MIT
164,693 tools. Last updated 2026-05-31 07:44
"Resources for learning about data analysis" matching MCP tools:
- List all available data collections including boundaries, NRM networks, demographics, and analysis grids. Returns collection ID, title, and description for each.MIT
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- Retrieve OHLCV candlestick data for on-chain derivatives markets to perform price analysis and charting.MIT
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- Retrieve detailed information about specific inference data periods for CrowdCent prediction challenges, enabling analysis of datasets and submission requirements.MIT
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- Store structured memories about entities in six layers (goal, context, emotion, implementation, caveat, learning) to preserve non-obvious goals, failures, and decisions.
- Analyze downstream dependencies affected by changes to any dbt resource, with auto-detection and actionable recommendations for running impacted models, tests, and other resources.MIT
- Retrieve Dockerfile content to analyze image composition, identify dependencies, and understand build processes for security auditing or learning purposes.MIT
- Discover and access all files within a dataset from France's open data platform. View file details like format, size, and type to identify data for analysis.MIT
- Discover all available UK legal research resources and templates in a single query. Returns metadata for static resources and URI templates for dynamic parameters.MIT
- Manage stateful mock resources with CRUD operations to persist data across requests. Create collections, browse items, retrieve specific data, add new entries, or restore seed data.Apache 2.0
- Identifies resources missing tags or labels across Azure or GCP. Untagged resources hinder cost attribution and team accountability, so this tool pinpoints them for remediation.MIT
- Predict employee attrition risk with machine learning. Returns confidence scores and risk factors, using cached data for speed or real-time analysis on demand.
- Generate histograms to visualize data distribution and frequency patterns for analysis in machine learning research.MIT
- Retrieve comprehensive information about a specific node in a knowledge graph, including attributes, relationships, and associated resources for analysis or modification.MIT
- Create a customized learning plan by analyzing student's subject, current level, learning style, goals, and available study time.MIT
- Create structured lesson plans with learning objectives, activities, and assessments for any educational topic and grade level.MIT
- Retrieve a Tatoeba sentence by ID, including all translations and audio recordings, to support language learning.MIT