PHPMem v2.0.1
Version
1.6.45
Uptime
16 days 19 hours 36 minutes 13 seconds
Memory
Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB
Keys
Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
14 / 1 024 max
Total
191 822
Rejected
0
llm:cb2569e5171d908f8768d1daf0800587f15970a05ba06502e878a392740cd79c
Edit
{
"action": "tool_call",
"reasoning": "My previous draft cited results I can't see in the evidence, so I will re-verify before answering. This query finds companies that appear in more than one monthly table and lists their amount and stage per month.",
"tool": "query_sql",
"args": {
"sql": "WITH allrows AS (SELECT 'Jan' AS month, 1 AS m, \"Company Name\" AS company, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', 2, \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', 3, \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', 4, \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', 5, \"Company Name\", Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"), reps AS (SELECT company FROM allrows WHERE company IS NOT NULL GROUP BY company HAVING COUNT(*) > 1) SELECT a.company, a.month, a.Amount, a.Stage FROM allrows a JOIN reps r ON a.company = r.company ORDER BY a.company, a.m",
"purpose": "Verify companies repeated across monthly files and compare their amounts and stages",
"source": "raw"
}
}