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Understanding Story Data Structure and Fields
What is Story Data?
When you retrieve stories from Hacker News through the MCP server, you receive structured data objects containing detailed information about each submission. Understanding these data fields helps you effectively interpret and work with the content you retrieve, whether you're analyzing trending topics, monitoring specific discussions, or researching community interests.
Core Story Fields
Each story object contains several essential fields that provide comprehensive information about the submission:
ID: Every story has a unique numeric identifier that serves as its permanent reference within Hacker News. You can use this ID to retrieve specific stories or their associated comments directly.
Title: The headline or title of the submission as it appears on Hacker News. This field captures what the submitter chose to highlight about the content they're sharing.
URL: For stories that link to external content, this field contains the destination URL. Some submissions are "Ask HN" or discussion posts without external links, in which case this field may be absent.
Score: The number of upvotes a story has received, reflecting community interest and approval. Higher scores generally indicate content that resonates with the Hacker News audience.
Author (by): The username of the person who submitted the story. This information is useful for tracking contributions from specific users or identifying frequent contributors.
Time: A Unix timestamp indicating when the story was submitted. This helps you understand content freshness and track when discussions began.
Type: Identifies the item type, which will be "story" for standard submissions, distinguishing them from comments, jobs, or polls.
Engagement Metrics
Descendants: The total count of comments associated with the story, including all replies and nested discussions. This number indicates the level of community engagement and discussion depth.
Kids: An array of comment IDs representing direct replies to the story. You can use these IDs to retrieve and traverse the comment tree, exploring community discussions in detail.
Working with Story Data
When requesting stories through the server, you'll receive these fields in a structured format that's easy to parse and analyze. Top stories, new stories, and best stories all share this same data structure, ensuring consistency regardless of which feed you're accessing.
Understanding these fields enables you to filter and prioritize content based on your needs—whether you're looking for highly-discussed topics (high descendant counts), community-validated content (high scores), or fresh submissions (recent timestamps).
Cloudflare Logpush on Metorial
The Cloudflare Logpush integration lets you programmatically configure and manage your Logpush jobs, enabling you to automate the setup of log exports to your preferred destinations and monitor job status directly from your workflows.
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