Hacker News research
$0.0050 per callSearch
Search public Hacker News stories, comments, jobs and polls with bounded time, type and sort filters.
Retrieve public Hacker News stories, comments and user records for topic research.
Scrollport identifies and validates the best-in-class API tools and provides them on a pay-as-you-go basis so you don't need to maintain a separate provider account, subscription or credits.
Give your agent the setup prompt to receive $1 in trial credit and start using the tools right away.
Hacker News research
$0.0050 per callSearch public Hacker News stories, comments, jobs and polls with bounded time, type and sort filters.
Hacker News research
$0.0050 per callRetrieve one public Hacker News item with a bounded nested comment tree and explicit truncation state.
Hacker News research
$0.0050 per callRetrieve one public Hacker News username with karma, plain-text bio and canonical profile link.
Tell your agent whether you need stories, comments, users or a discussion around a specific topic. It can preserve thread context and source identity instead of reducing conversations to isolated quotes.
Describe the product decision, pain point, launch or technical claim you want to investigate and the useful time period. Give known stories, authors or terms as seeds, then let the agent discover the relevant submissions and complete discussions.
Threads can reveal practitioner concerns, technical arguments, launch reactions and source links. Visibility reflects timing and community voting, so it should not be treated as representative market sentiment.
Ask the agent to retain story and comment links, parent context and timestamps, identify disagreement and distinguish firsthand evidence from speculation.
This prompt uses threads as contextual technical evidence.
Example prompt to give your agent
Use Scrollport's Hacker News research capability to investigate discussions about [TOPIC] between [DATES]. Include relevant stories and comment threads with source links and context, identify recurring technical claims and credible disagreement, and state the sampling and community limitations. Show me the price before the paid run.Retrieve public Hacker News stories, comments and user records for topic research.
Scrollport identifies and validates the best-in-class API tools and provides them on a pay-as-you-go basis so you don't need to maintain a separate provider account, subscription or credits.
Give your agent the setup prompt to receive $1 in trial credit and start using the tools right away.
Hacker News research
$0.0050 per callSearch public Hacker News stories, comments, jobs and polls with bounded time, type and sort filters.
Hacker News research
$0.0050 per callRetrieve one public Hacker News item with a bounded nested comment tree and explicit truncation state.
Hacker News research
$0.0050 per callRetrieve one public Hacker News username with karma, plain-text bio and canonical profile link.
Tell your agent whether you need stories, comments, users or a discussion around a specific topic. It can preserve thread context and source identity instead of reducing conversations to isolated quotes.
Describe the product decision, pain point, launch or technical claim you want to investigate and the useful time period. Give known stories, authors or terms as seeds, then let the agent discover the relevant submissions and complete discussions.
Threads can reveal practitioner concerns, technical arguments, launch reactions and source links. Visibility reflects timing and community voting, so it should not be treated as representative market sentiment.
Ask the agent to retain story and comment links, parent context and timestamps, identify disagreement and distinguish firsthand evidence from speculation.
This prompt uses threads as contextual technical evidence.
Example prompt to give your agent
Use Scrollport's Hacker News research capability to investigate discussions about [TOPIC] between [DATES]. Include relevant stories and comment threads with source links and context, identify recurring technical claims and credible disagreement, and state the sampling and community limitations. Show me the price before the paid run.Retrieve public Hacker News stories, comments and user records for topic research.
Scrollport identifies and validates the best-in-class API tools and provides them on a pay-as-you-go basis so you don't need to maintain a separate provider account, subscription or credits.
Give your agent the setup prompt to receive $1 in trial credit and start using the tools right away.
Hacker News research
$0.0050 per callSearch public Hacker News stories, comments, jobs and polls with bounded time, type and sort filters.
Hacker News research
$0.0050 per callRetrieve one public Hacker News item with a bounded nested comment tree and explicit truncation state.
Hacker News research
$0.0050 per callRetrieve one public Hacker News username with karma, plain-text bio and canonical profile link.
Tell your agent whether you need stories, comments, users or a discussion around a specific topic. It can preserve thread context and source identity instead of reducing conversations to isolated quotes.
Describe the product decision, pain point, launch or technical claim you want to investigate and the useful time period. Give known stories, authors or terms as seeds, then let the agent discover the relevant submissions and complete discussions.
Threads can reveal practitioner concerns, technical arguments, launch reactions and source links. Visibility reflects timing and community voting, so it should not be treated as representative market sentiment.
Ask the agent to retain story and comment links, parent context and timestamps, identify disagreement and distinguish firsthand evidence from speculation.
This prompt uses threads as contextual technical evidence.
Example prompt to give your agent
Use Scrollport's Hacker News research capability to investigate discussions about [TOPIC] between [DATES]. Include relevant stories and comment threads with source links and context, identify recurring technical claims and credible disagreement, and state the sampling and community limitations. Show me the price before the paid run.