PHPMem v2.0.1

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1.6.45
Uptime
7 days 8 hours 14 minutes 29 seconds

Memory

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512MB
Used
13,32MB (2.6%)
Free
498,68MB

Keys

Current
10 162
Total (since start)
11 092
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0
Reclaimed
157
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0
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0

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3 / 1 024 max
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63 488
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0
llm:9c12d393ac50aa7b56bc9e16558acdc3e26a6ec72d7746881ef79fcfcd042cd5
TTL 4 days 3 hours 54 minutes 16 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": {} } ```