Job Types

This page documents all job types in the system, including both LLM and system jobs.

AllLLMSystem

Analyze Article

analyze_articleLLM

Generates a brief gist (1-2 sentences), creates a detailed summary, and classifies the article into one or more types (earnings, M&A, analyst rating, ...

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Analyze Sentiment

analyze_sentimentLLM

Analyzes the sentiment (positive/neutral/negative) toward a specific company mentioned in an article or snippet. Scores on 0-10 scale and generates a ...

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Clean Markdown Article

clean_markdown_articleLLM

Identifies promotional paragraphs (See Also links, newsletter CTAs, image attributions) that should be removed from article markdown. Returns paragrap...

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Clean Raw Article

clean_raw_articleSystem

Converts raw HTML article content to cleaned markdown format. Performs regex-based cleaning and HTML-to-markdown conversion without using LLM.

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Extract Entities

extract_entitiesLLM

Identifies companies mentioned in article or snippet content using function calling for database validation.

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Generate Story Title

generate_story_titleLLM

Generates a unified professional headline from multiple snippet titles covering the same Google News story.

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Generate Talking Points

generate_talking_pointsLLM

Generates AI-powered bull and bear investment arguments for companies using pre-fetched data context (articles, ratings, trades, metrics).

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Link Article to Stories

link_article_to_storiesLLM

Matches an article to active Google News stories using strict matching criteria.

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Link Story to Articles

link_story_to_articlesLLM

Matches articles to Google News stories using strict matching criteria.

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Score Story Relevance

score_story_relevanceLLM

Scores a Google News story's business relevance on a 1-10 scale with explanation.

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Scrape Article Content

scrape_article_contentSystem

Fetches full article content from supported sources (Yahoo Finance) using ScrapingBee. Resolves Google News redirect URLs and handles paywalls gracefu...

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