Hanging Context: AI Agent News

Explain Hanging Context. Returns what it is, the checks on each story, the reuse rules, and how to read or receive stories.

hc_about

Answer a question from recent stories. Ranks stories by keyword match and copies the best key facts word for word. Returns up to 5 facts, each with its story URL and Manifest ids, and up to `limit` matched stories. If nothing matches, returns no_match true and suggestions. It does not use an LLM. Use it when the user asks a question about recent news.

hc_ask

Get only the stories that are new since your last call. Send the cursor from the last response. If you send no cursor, the call returns the current cursor and no stories. Returns up to 50 stories with next_cursor and has_more.

hc_since

Get the latest stories, newest first. Filter by topic or beat. Returns up to 20 stories with headline, dek, topic, URL and Manifest ids.

hc_latest

List the topics. Returns each topic with its title, beats, sources and story count for the last 24 hours. Also returns not_covered, a list of things this server does not cover. Call this first to get valid topic and beat ids for hc_latest, hc_search and hc_since.

hc_topics

Read one story. Use format `brief` for the headline, dek and key facts. Use format `full` for the whole story as Markdown. Use format `claims` for key facts and paragraphs as JSON, each with its Manifest ids. Returns the story in that format and up to 3 related stories.

hc_get_story

Search recent stories by keyword. The ranking uses keyword match only. Returns up to 20 stories with headline, dek, topic, URL, Manifest ids and score.

hc_search

Show where a story gets its facts. Returns each source with its title, source name, original URL and date, and which facts and paragraphs use it. Also returns the trust label.

hc_sources