Source context panel

mcdonalds-blog 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: 2026-05-14 / JSON twin: /data/sources/mcdonalds-blog.json

Activity 24h
0
aggregate signals
Activity 7d
35
aggregate signals
Activity 30d
158
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

McDonald's (organization) 12
Consumer Spending (topic) 8
Chicago (place) 6
McDonald's USA (organization) 6
U.S. (place) 6
Alyssa Buetikofer (person) 4
Chris Kempczinski (person) 4
Economic Outlook (topic) 4
Golden (organization) 4
Netflix (organization) 4
Alexa (organization) 2
Anderson (person) 2

Related streams

McDonald's 5

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.