PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 14 hours 44 minutes 33 seconds

Memory

Total
512MB
Used
13,24MB (2.59%)
Free
498,76MB

Keys

Current
10 103
Total (since start)
11 096
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0
Reclaimed
190
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0
Evicted Unfetched
0

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3 / 1 024 max
Total
69 751
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0
llm:ecd3d2f5b6011f7e03bdf40e59cc2bc322f00cdb521c2fb2322859d0dda6ce5f
TTL 3 days 21 hours 24 minutes 12 seconds Size 894,00B Export
Edit
I need to identify the time dimension(s) in this dataset and analyze the trend. From the dataset card, I can see three temporal axes: 1. `raw.accounts.year_established` (1979..2017) 2. `raw.b2b_sales_funnel_pipeline.engage_date` (2016-10-20..2017-12-27) 3. `raw.b2b_sales_funnel_pipeline.close_date` (2017-03-01..2017-12-31) The most relevant for analyzing business trends would be the sales pipeline data over time. Let me check if there's a pre-aggregated gold table for this, then analyze the trend. ```json { "action": "tool_call", "reasoning": "Check for pre-aggregated gold tables that might already contain time-based aggregations of the sales pipeline data, which would be faster than querying raw data", "tool": "get_gold_tables", "args": {} } ```