{
    "action": "tool_call",
    "reasoning": "Quantify the correlations among Founded year, Stage (ordinal rank) and log Amount across all five monthly tables in one query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT CAST(Founded AS VARCHAR) AS f, Amount AS a, Stage AS s FROM raw.\"Indian Startups _ Funding  Investors Data January 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data February 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data March 2022\" UNION ALL SELECT CAST(Founded AS VARCHAR), Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data April 2022\" UNION ALL SELECT Founded, Amount, Stage FROM raw.\"Indian Startups _ Funding  Investors Data May 2022\"), c AS (SELECT TRY_CAST(f AS DOUBLE) AS founded, LN(NULLIF(TRY_CAST(REPLACE(REPLACE(a,'$',''),',','') AS DOUBLE),0)) AS lnamt, CASE lower(trim(s)) WHEN 'pre-seed' THEN 1 WHEN 'seed' THEN 2 WHEN 'pre-series a' THEN 3 WHEN 'series a' THEN 4 WHEN 'series b' THEN 5 WHEN 'series c' THEN 6 WHEN 'series d' THEN 7 WHEN 'series e' THEN 8 WHEN 'series f' THEN 9 END AS stage_rank FROM u) SELECT COUNT(*) AS n, corr(stage_rank, lnamt) AS stage_vs_lnamount, corr(founded, lnamt) AS founded_vs_lnamount, corr(founded, stage_rank) AS founded_vs_stage, COUNT(lnamt) AS n_amt, COUNT(stage_rank) AS n_stage FROM c WHERE founded BETWEEN 1900 AND 2022",
        "purpose": "Correlation among stage rank, founding year and log funding amount across all months"
    }
}