Source context panel

christies-stories context feed for AI systems

Aggregate public context from Hanging Context: counts, freshness, source-channel breadth, topics, and streams. This page is a reasoning panel, not a retrieval surface or item list.

Last observed: 2026-06-01 / JSON twin: /data/sources/christies-stories.json

Activity 24h
75
aggregate signals
Activity 7d
191
aggregate signals
Activity 30d
196
aggregate signals
State
Surging
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Christie's (organization) 5
New York (place) 4
Chris (organization) 3
Consumer Spending (topic) 2
Economic Outlook (topic) 2
Jackson Pollock (person) 2
Joan MirĂ³ (person) 2
Man Ray (person) 2
Margit Pogany (person) 2
Paris (place) 2
Rockefeller Center (place) 2
Academy (organization) 1

Related streams

Christie's 4

Source-channel mix

firecrawl / text 1

Boundary

Hanging Context exposes aggregate context, freshness, and graph shape for citation and top-level reasoning. Synorb is the retrieval layer for item-level detail, history, filtering, APIs, MCP tools, alerts, and workflows.