Retrieve detailed information about specific inference data periods for CrowdCent prediction challenges, enabling analysis of datasets and submission requirements.
MIT
386,294 tools. Last updated 2026-08-03 23:16
"A tool for data-based inference analysis and summarization" matching MCP tools:
- Fetch AS relationship data from CAIDA AS-Rank API to classify neighboring ASNs as providers, customers, or peers using BGP-path-based inference for accurate network analysis.MIT
- Fetches a Turkish Presidential Decision PDF and returns its full content as Markdown for analysis, summarization, or question answering.MIT
- Retrieve the full Markdown content of a Turkish communiqué using its number and series from a prior search. Ready for analysis or summarization.MIT
- Process files (text, PDF, images, etc.) for summarization, extraction, or analysis using Gemini models. Supports large files with intelligent model selection and specific operation instructions.MIT
- Renders a per-inference consumption breakdown for a session, with tool aggregates and a bar chart, one row per assistant reply. Optionally shows every inference instead of the usual top-10/last-5.MIT
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Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.
- Extract video transcripts with timestamps from YouTube for summarization and content analysis. Input a video ID to retrieve captions in your preferred language.MIT
- Extract video transcripts from YouTube for content analysis, summarization, and keyword extraction using the official YouTube Data API.MIT
- Analyze inference subscription costs and receive optimization recommendations to reduce expenses, including plan changes and savings estimates.MIT
- Access complete daily notes with all content and sections for analysis, summarization, or information extraction from any part of the document.
- Condense logs and routine documents into brief factual summaries. Offload batch summarization to local models, saving Claude tokens for complex analysis.
- Remove sponsor ads, intros, outros, and filler from YouTube transcripts to get clean text for summarization.
- Retrieve podcast episode transcripts for summarization and analysis. Provides text content from scraped episodes to enable further processing.
- Retrieve schema update recommendations for an entity type based on raw fragment analysis, agent suggestions, or inference. Identify needed schema changes to match actual usage.MIT
- Add URLs from YouTube, PDFs, or web articles to a project for automated content extraction and summarization to support learning.
- Re-materialize the graph after metadata changes to make it available for prediction and evaluation. Required before running any inference.MIT
- One command to load OHLCV data, run market analysis, and apply a chart preset. Works headless too, returning a MarketSummary.Apache 2.0
- Start a new terminal process with smart state detection for file analysis, data processing, and command execution. Use with interact_with_process for local file work.MIT
- Load a model into memory for inference, with optional keep-alive duration and provider selection.Creative Commons Attribution Non Commercial No Derivatives 4.0 International
- Retrieve expert guidance and rules to optimize LLM inference on your hardware. Use this to understand how to interpret performance analysis results.Apache 2.0