DB Olympics

Queries · q019 · Chief Financial Officer · week 1, night 3

Corrected Tidewick Revenue by Month, 2025 (validated EUR conversion)

“What is the correct month-by-month view of Tidewick's 2025 gross payout volume and processing-fee revenue, using the per-payout EUR conversion method validated against the currency reconciliation?”

Manager · asked the questionTobias LindqvistChief Financial Officer. New this month, previously finance director at a retailer. Preparing the 2025 annual accounts and the 2026 budget.
Analyst · planned the reportKofi MensahHypothesis-driven: states what he expects and designs reports that would prove him wrong.
Engineer · wrote the SQLGraceWrites tidy, layered CTEs with descriptive names, one step per CTE, then a final select.

Fictional people at a fictional company, each played by a language-model agent. Who they are and what they are told

  1. Tobias Lindqvist writes to Kofi Mensah

    The manager, at the start of week 1

    Subject: Finding my bearings – first set of questions for the week

    Hi Kofi,

    Good to be working with you. I'm still building my mental map of the business, so I'd rather ask a few broad questions well than a lot of narrow ones badly. Given the slot budget, here's what I'd prioritize this week, roughly in order:

    1. How did we actually do in 2025, and where is the money coming from? I want to see our own revenue split between the subscription/plan fees and the payment-processing fees, over the year, and ideally how that's trending month to month. This is the backbone of the annual accounts narrative and will shape how I talk about 2025 to the board.
    2. How concentrated is our business in a few large merchants, and how healthy are they? I keep hearing "a handful of large merchants drive most of the volume" — I'd like to understand who they are, how much of our gross volume and revenue they represent, and whether that concentration is growing or shrinking. This matters for risk assessment going into the budget.
    3. What do refunds and returns look like across the merchant base? I want a sense of refund rates — overall and whether certain verticals or merchants are outliers — since this affects both our net revenue and how much cash we actually end up paying out.
    4. How exposed are we to currency movements? Merchants bill in their own currencies, and shoppers come from ~40 countries. I'd like a picture of how our volume and revenue break down by currency, so I can gauge our FX exposure for the 2026 budget and think about whether we need any hedging conversation.
    5. Are our B2B merchants paying us and their own customers on time? I know a few of our merchants are wholesalers running on B2B terms. I'd like to understand how their receivables look — how much is outstanding and how overdue it tends to get — since this could be a real cash-flow risk if it's worse than I'd expect.

    For this week, let's focus on #1 and #2 — those are the two I most need before I can speak credibly about 2025 and the 2026 budget. If there's room, #3 would be next; #4 and #5 can wait for a follow-up week if slots are tight.

    Let me know if any of these need me to narrow scope further before you brief the data engineers.

    Thanks, Tobias

  2. Kofi Mensah plans the night

    The analyst · week 1, night 3, request 1 of 3

    The currency reconciliation report is the key finding tonight: payout_count_missing_fx_rate is 0 for every currency, so FX coverage is complete — my "inner join dropping unmatched currencies" hypothesis was wrong. But summing the reconciliation report's own gross_volume_eur across currencies gives €3,972,988 and fee_revenue_eur gives €93,583 — both match Night 1's Report 3 total almost to the cent. That confirms the TRUE 2025 totals, and proves Night 1's Report 1 (monthly trend: €1.99M gross / €53.2k fee) was wrong by a different mechanism than I guessed — not missing FX matches, but something in how that specific query aggregated/converted by month (gross was off by ~2.0x, fee only by ~1.76x, so it's not a uniform "half the rows missing" bug either, more likely a currency-conversion-direction or grouping error localized to that query). Rather than guess further, I'm asking for the monthly report to be rebuilt using the exact validated per-payout conversion method from tonight's reconciliation report, with an explicit annual TOTAL row so it self-checks against the €3,972,988 / €93,583 figures I now trust. This is the top priority tonight since it underpins the board-facing 2025 revenue narrative.

    On refunds: Apparel & Footwear stands out hard at ~20.8% refund rate, 3-6x every other vertical, and it's broad-based across apparel merchants (not just one outlier per Report 3), so I don't think it's a data artifact — apparel/fashion e-commerce genuinely runs high return rates. Still, since this affects net revenue and cash payouts (Tobias's framing), I want to know if it's stable or worsening, especially given the Nov/Dec volume spike we saw in gross volume. I'm using my remaining two slots for a company-wide quarterly refund-rate trend and an Apparel-specific quarterly trend, both 2024 vs 2025, to see direction of travel before I write the memo.

    Corrected Tidewick Revenue by Month, 2025 (validated EUR conversion)
    Question
    What is the correct month-by-month view of Tidewick's 2025 gross payout volume and processing-fee revenue, using the per-payout EUR conversion method validated against the currency reconciliation?
    One row per
    one calendar month in 2025, plus a final TOTAL row for the year
    Columns
    • month (YYYY-MM, or 'TOTAL')
    • payout_count
    • gross_volume_eur
    • fee_revenue_eur
    • net_paid_out_eur
    • fee_rate_pct
    • fee_revenue_prior_year_eur (same month 2024)

  3. Grace writes the SQL

    The engineer · 1 dry run on the empty schema, then the submission

    Dry run 1 · STATUS: COMPILES (dry run on the empty schema, no data read)
    WITH payouts_with_rate AS (
  SELECT
    p.id,
    p.currency_code,
    p.gross_amount,
    p.fee_amount,
    p.net_amount,
    p.paid_at,
    date(p.paid_at) AS paid_date,
    CASE WHEN p.currency_code = 'EUR' THEN 1.0 ELSE er.rate END AS eur_rate
  FROM payouts p
  LEFT JOIN exchange_rates er
    ON er.base_code = 'EUR'
   AND er.quote_code = p.currency_code
   AND er.as_of = date(p.paid_at)
  WHERE p.status IN ('paid', 'completed')
),
payouts_2025_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.gross_amount / pw.eur_rate AS gross_eur,
    pw.fee_amount / pw.eur_rate AS fee_eur,
    pw.net_amount / pw.eur_rate AS net_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2025-01-01' AND pw.paid_date < DATE '2026-01-01'
),
payouts_2024_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.fee_amount / pw.eur_rate AS fee_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2024-01-01' AND pw.paid_date < DATE '2025-01-01'
),
monthly_2025 AS (
  SELECT
    cd.month_label AS month_label,
    cd.month_num AS month_num,
    COUNT(pc.id) AS payout_count,
    SUM(pc.gross_eur) AS gross_volume_eur,
    SUM(pc.fee_eur) AS fee_revenue_eur,
    SUM(pc.net_eur) AS net_paid_out_eur
  FROM payouts_2025_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_label, cd.month_num
),
monthly_2024_fee AS (
  SELECT
    cd.month_num AS month_num,
    SUM(pc.fee_eur) AS fee_revenue_prior_year_eur
  FROM payouts_2024_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_num
),
monthly_combined AS (
  SELECT
    m.month_label,
    m.month_num,
    m.payout_count,
    m.gross_volume_eur,
    m.fee_revenue_eur,
    m.net_paid_out_eur,
    CASE WHEN m.gross_volume_eur = 0 THEN NULL ELSE (m.fee_revenue_eur / m.gross_volume_eur) * 100 END AS fee_rate_pct,
    py.fee_revenue_prior_year_eur
  FROM monthly_2025 m
  LEFT JOIN monthly_2024_fee py ON py.month_num = m.month_num
),
total_row AS (
  SELECT
    'TOTAL' AS month_label,
    13 AS month_num,
    SUM(payout_count) AS payout_count,
    SUM(gross_volume_eur) AS gross_volume_eur,
    SUM(fee_revenue_eur) AS fee_revenue_eur,
    SUM(net_paid_out_eur) AS net_paid_out_eur,
    CASE WHEN SUM(gross_volume_eur) = 0 THEN NULL ELSE (SUM(fee_revenue_eur) / SUM(gross_volume_eur)) * 100 END AS fee_rate_pct,
    SUM(fee_revenue_prior_year_eur) AS fee_revenue_prior_year_eur
  FROM monthly_combined
)
SELECT
  month_label AS month,
  payout_count,
  ROUND(gross_volume_eur, 2) AS gross_volume_eur,
  ROUND(fee_revenue_eur, 2) AS fee_revenue_eur,
  ROUND(net_paid_out_eur, 2) AS net_paid_out_eur,
  ROUND(fee_rate_pct, 1) AS fee_rate_pct,
  ROUND(fee_revenue_prior_year_eur, 2) AS fee_revenue_prior_year_eur
FROM (
  SELECT * FROM monthly_combined
  UNION ALL
  SELECT * FROM total_row
) x
ORDER BY month_num

    “The query compiles and returns the requested columns. Submitting now.”

    Submitted · the SQL of the last dry run, unchanged · Submitted to tonight's batch. Your work on this request is done.

    “Submitted. The query builds per-payout EUR conversions (dividing local gross/fee/net by the EUR→currency rate matched on paid_at date, with rate=1 for EUR payouts), aggregates by calendar month for 2025, appends a TOTAL row, and pulls the matching-month 2024 fee revenue using the same conversion method for the prior-year column.”

  4. The report comes back overnight

    As Kofi Mensah saw it, from the small dataset the agents worked on

    month   | payout_count | gross_volume_eur | fee_revenue_eur | net_paid_out_eur | fee_rate_pct | fee_revenue_prior_year_eur
--------+--------------+------------------+-----------------+------------------+--------------+---------------------------
2025-01 |          958 |         336997.3 |         7925.21 |        253932.01 |          2.4 |                    5121.57
2025-02 |          752 |        280023.05 |         6459.16 |        243182.77 |          2.3 |                    5539.86
2025-03 |          871 |        255837.34 |         5985.68 |        223413.62 |          2.3 |                    8182.78
2025-04 |          839 |        340937.07 |         7828.37 |        304687.99 |          2.3 |                     5249.7
2025-05 |          878 |        334528.07 |         7178.24 |         278317.0 |          2.1 |                    5641.83
2025-06 |          840 |        229136.55 |         5713.03 |        184551.27 |          2.5 |                    4767.01
2025-07 |          851 |        239376.66 |         6028.64 |        203551.42 |          2.5 |                    5620.38
2025-08 |          869 |        259058.79 |         6808.71 |        225922.27 |          2.6 |                    4710.35
2025-09 |          874 |        259147.15 |         5871.99 |        227184.81 |          2.3 |                    5717.95
2025-10 |          959 |         351845.4 |         8090.78 |        304170.97 |          2.3 |                    6290.06
2025-11 |         1154 |        471485.44 |        11427.35 |        412663.97 |          2.4 |                    7443.25
2025-12 |         1441 |        614615.16 |        14266.05 |        493277.91 |          2.3 |                   11829.11
TOTAL   |        11286 |       3972987.99 |         93583.2 |        3354856.0 |          2.4 |                   76113.86
(13 rows)

  5. What came of it

    The memo and the queries that followed; links found by title, so inferred

    Kofi Mensah's memo to Tobias Lindqvist at the end of the week:

    • "Corrected Tidewick Revenue by Month, 2025" — Tidewick's processing-fee revenue for 2025 was €93,583 on €3,972,988 gross settled volume (blended fee rate 2.4%), rising seasonally into Q4 (€14,266 fee revenue in December alone vs. €7,925 in January). I'm confident in these totals: they were cross-validated against an independent currency-level reconciliation and tie out exactly.

    It builds on:

  6. It becomes benchmark query q019

    Changed only where the benchmark needs the same result on every system

    • editAn output alias reused the name of an input column the same block still uses; ClickHouse rejects the query, which the standard resolves (docs/RUNNER.md, Dialects: a rewrite that costs nothing on any system goes into the canonical query). The total row's column name does not reach the result: the UNION ALL takes the names of its first branch.
    • editAn output alias reused the name of an input column the same block still uses; ClickHouse rejects the query, which the standard resolves (docs/RUNNER.md, Dialects: a rewrite that costs nothing on any system goes into the canonical query). The total row's column name does not reach the result: the UNION ALL takes the names of its first branch.
    • spellingdate cast (2×)
    • determinismtie-breaker: calendar_days only keys calendar_date, so month_num does not determine month_label (the TOTAL row has month_num 13, which the CHECK on month_num excludes for real months)
    • numericsdocs/NUMERICS.md: rounding removed; results keep full precision
    • numericsdocs/NUMERICS.md: x / exchange rate cast to NUMERIC(18,6) (4×)
    • made explicita selected t.col gets AS col, its standard name made explicit (17×)
    • determinismthe standard leaves the place of NULLs in a sort to the implementation: NULLS LAST ascending, NULLS FIRST descending, as in the reference results (2×)
    The benchmark text, against the submitted SQL
    WITH payouts_with_rate AS (  SELECT    p.id,    p.currency_code,    p.gross_amount,    p.fee_amount,    p.net_amount,    p.paid_at,    date(p.paid_at) AS paid_date,    p.id AS id,    p.currency_code AS currency_code,    p.gross_amount AS gross_amount,    p.fee_amount AS fee_amount,    p.net_amount AS net_amount,    p.paid_at AS paid_at,    CAST(p.paid_at AS DATE) AS paid_date,    CASE WHEN p.currency_code = 'EUR' THEN 1.0 ELSE er.rate END AS eur_rate  FROM payouts p  LEFT JOIN exchange_rates er    ON er.base_code = 'EUR'   AND er.quote_code = p.currency_code   AND er.as_of = date(p.paid_at)   AND er.as_of = CAST(p.paid_at AS DATE)  WHERE p.status IN ('paid', 'completed')),payouts_2025_converted AS (  SELECT    pw.id,    pw.paid_date,    pw.gross_amount / pw.eur_rate AS gross_eur,    pw.fee_amount / pw.eur_rate AS fee_eur,    pw.net_amount / pw.eur_rate AS net_eur    pw.id AS id,    pw.paid_date AS paid_date,    CAST(pw.gross_amount / pw.eur_rate AS NUMERIC(18,6)) AS gross_eur,    CAST(pw.fee_amount / pw.eur_rate AS NUMERIC(18,6)) AS fee_eur,    CAST(pw.net_amount / pw.eur_rate AS NUMERIC(18,6)) AS net_eur  FROM payouts_with_rate pw  WHERE pw.paid_date >= DATE '2025-01-01' AND pw.paid_date < DATE '2026-01-01'),payouts_2024_converted AS (  SELECT    pw.id,    pw.paid_date,    pw.fee_amount / pw.eur_rate AS fee_eur    pw.id AS id,    pw.paid_date AS paid_date,    CAST(pw.fee_amount / pw.eur_rate AS NUMERIC(18,6)) AS fee_eur  FROM payouts_with_rate pw  WHERE pw.paid_date >= DATE '2024-01-01' AND pw.paid_date < DATE '2025-01-01'),monthly_2025 AS (  SELECT    cd.month_label AS month_label,    cd.month_num AS month_num,    COUNT(pc.id) AS payout_count,    SUM(pc.gross_eur) AS gross_volume_eur,    SUM(pc.fee_eur) AS fee_revenue_eur,    SUM(pc.net_eur) AS net_paid_out_eur  FROM payouts_2025_converted pc  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date  GROUP BY cd.month_label, cd.month_num),monthly_2024_fee AS (  SELECT    cd.month_num AS month_num,    SUM(pc.fee_eur) AS fee_revenue_prior_year_eur  FROM payouts_2024_converted pc  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date  GROUP BY cd.month_num),monthly_combined AS (  SELECT    m.month_label,    m.month_num,    m.payout_count,    m.gross_volume_eur,    m.fee_revenue_eur,    m.net_paid_out_eur,    m.month_label AS month_label,    m.month_num AS month_num,    m.payout_count AS payout_count,    m.gross_volume_eur AS gross_volume_eur,    m.fee_revenue_eur AS fee_revenue_eur,    m.net_paid_out_eur AS net_paid_out_eur,    CASE WHEN m.gross_volume_eur = 0 THEN NULL ELSE (m.fee_revenue_eur / m.gross_volume_eur) * 100 END AS fee_rate_pct,    py.fee_revenue_prior_year_eur    py.fee_revenue_prior_year_eur AS fee_revenue_prior_year_eur  FROM monthly_2025 m  LEFT JOIN monthly_2024_fee py ON py.month_num = m.month_num),total_row AS (  SELECT    'TOTAL' AS month_label,    13 AS month_num,    SUM(payout_count) AS payout_count,    SUM(gross_volume_eur) AS gross_volume_eur,    SUM(fee_revenue_eur) AS fee_revenue_eur,    SUM(gross_volume_eur) AS total_gross_volume_eur,    SUM(fee_revenue_eur) AS total_fee_revenue_eur,    SUM(net_paid_out_eur) AS net_paid_out_eur,    CASE WHEN SUM(gross_volume_eur) = 0 THEN NULL ELSE (SUM(fee_revenue_eur) / SUM(gross_volume_eur)) * 100 END AS fee_rate_pct,    SUM(fee_revenue_prior_year_eur) AS fee_revenue_prior_year_eur  FROM monthly_combined)SELECT  month_label AS month,  payout_count,  ROUND(gross_volume_eur, 2) AS gross_volume_eur,  ROUND(fee_revenue_eur, 2) AS fee_revenue_eur,  ROUND(net_paid_out_eur, 2) AS net_paid_out_eur,  ROUND(fee_rate_pct, 1) AS fee_rate_pct,  ROUND(fee_revenue_prior_year_eur, 2) AS fee_revenue_prior_year_eur  gross_volume_eur AS gross_volume_eur,  fee_revenue_eur AS fee_revenue_eur,  net_paid_out_eur AS net_paid_out_eur,  fee_rate_pct AS fee_rate_pct,  fee_revenue_prior_year_eur AS fee_revenue_prior_year_eurFROM (  SELECT * FROM monthly_combined  UNION ALL  SELECT * FROM total_row) xORDER BY month_numORDER BY month_num NULLS LAST, month_label NULLS LAST

    As each system received it; highlighted, the parts spelled for that system

    WITH payouts_with_rate AS (
  SELECT
    p.id AS id,
    p.currency_code AS currency_code,
    p.gross_amount AS gross_amount,
    p.fee_amount AS fee_amount,
    p.net_amount AS net_amount,
    p.paid_at AS paid_at,
    CAST(p.paid_at AS DATE) AS paid_date,
    CASE WHEN p.currency_code = 'EUR' THEN 1.0 ELSE er.rate END AS eur_rate
  FROM payouts p
  LEFT JOIN exchange_rates er
    ON er.base_code = 'EUR'
   AND er.quote_code = p.currency_code
   AND er.as_of = CAST(p.paid_at AS DATE)
  WHERE p.status IN ('paid', 'completed')
),
payouts_2025_converted AS (
  SELECT
    pw.id AS id,
    pw.paid_date AS paid_date,
    CAST(pw.gross_amount / pw.eur_rate AS NUMERIC(18,6)) AS gross_eur,
    CAST(pw.fee_amount / pw.eur_rate AS NUMERIC(18,6)) AS fee_eur,
    CAST(pw.net_amount / pw.eur_rate AS NUMERIC(18,6)) AS net_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2025-01-01' AND pw.paid_date < DATE '2026-01-01'
),
payouts_2024_converted AS (
  SELECT
    pw.id AS id,
    pw.paid_date AS paid_date,
    CAST(pw.fee_amount / pw.eur_rate AS NUMERIC(18,6)) AS fee_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2024-01-01' AND pw.paid_date < DATE '2025-01-01'
),
monthly_2025 AS (
  SELECT
    cd.month_label AS month_label,
    cd.month_num AS month_num,
    COUNT(pc.id) AS payout_count,
    SUM(pc.gross_eur) AS gross_volume_eur,
    SUM(pc.fee_eur) AS fee_revenue_eur,
    SUM(pc.net_eur) AS net_paid_out_eur
  FROM payouts_2025_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_label, cd.month_num
),
monthly_2024_fee AS (
  SELECT
    cd.month_num AS month_num,
    SUM(pc.fee_eur) AS fee_revenue_prior_year_eur
  FROM payouts_2024_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_num
),
monthly_combined AS (
  SELECT
    m.month_label AS month_label,
    m.month_num AS month_num,
    m.payout_count AS payout_count,
    m.gross_volume_eur AS gross_volume_eur,
    m.fee_revenue_eur AS fee_revenue_eur,
    m.net_paid_out_eur AS net_paid_out_eur,
    CASE WHEN m.gross_volume_eur = 0 THEN NULL ELSE (m.fee_revenue_eur / m.gross_volume_eur) * 100 END AS fee_rate_pct,
    py.fee_revenue_prior_year_eur AS fee_revenue_prior_year_eur
  FROM monthly_2025 m
  LEFT JOIN monthly_2024_fee py ON py.month_num = m.month_num
),
total_row AS (
  SELECT
    'TOTAL' AS month_label,
    13 AS month_num,
    SUM(payout_count) AS payout_count,
    SUM(gross_volume_eur) AS total_gross_volume_eur,
    SUM(fee_revenue_eur) AS total_fee_revenue_eur,
    SUM(net_paid_out_eur) AS net_paid_out_eur,
    CASE WHEN SUM(gross_volume_eur) = 0 THEN NULL ELSE (SUM(fee_revenue_eur) / SUM(gross_volume_eur)) * 100 END AS fee_rate_pct,
    SUM(fee_revenue_prior_year_eur) AS fee_revenue_prior_year_eur
  FROM monthly_combined
)
SELECT
  month_label AS month,
  payout_count,
  gross_volume_eur AS gross_volume_eur,
  fee_revenue_eur AS fee_revenue_eur,
  net_paid_out_eur AS net_paid_out_eur,
  fee_rate_pct AS fee_rate_pct,
  fee_revenue_prior_year_eur AS fee_revenue_prior_year_eur
FROM (
  SELECT * FROM monthly_combined
  UNION ALL
  SELECT * FROM total_row
) x
ORDER BY month_num NULLS LAST, month_label NULLS LAST
    10 ms100 ms1 sHyper20.6 msDuckDB17.0 msGizmoSQL28.3 msclickhouse_brew105 msFirebolt107 msDataFusion96.2 msClickHouse63.8 ms

    Scale factor 1000, c8a.24xlarge, after the last load. q019 on the start page, with every configuration.

  7. Everything, as recorded

    The agents' own records, as the role play wrote them; only the personal data of the person who ran it is redacted

    Grace's whole session, 7 turns
    • The request, as Grace received it
      Report request from Kofi Mensah (analyst for the Chief Financial Officer):

Title: Corrected Tidewick Revenue by Month, 2025 (validated EUR conversion)
Question: What is the correct month-by-month view of Tidewick's 2025 gross payout volume and processing-fee revenue, using the per-payout EUR conversion method validated against the currency reconciliation?
Grain: one calendar month in 2025, plus a final TOTAL row for the year
Columns:
- month (YYYY-MM, or 'TOTAL')
- payout_count
- gross_volume_eur
- fee_revenue_eur
- net_paid_out_eur
- fee_rate_pct
- fee_revenue_prior_year_eur (same month 2024)
Details: Source: payouts, status IN ('paid','completed'), paid_at in 2025. For each payout, convert gross_amount, fee_amount, net_amount from currency_code to EUR by matching exchange_rates on base_code='EUR', quote_code=payouts.currency_code, as_of=date(paid_at), dividing the local amount by the matched rate (rate=1 when currency_code='EUR', no join needed) — this is the exact method used in last night's 'Payout Reconciliation by Currency' report, which cross-footed to known-good annual totals. Group by month (calendar_days.month_label), and add one extra row labeled 'TOTAL' summing all 12 months, so the figures can be checked against the independently-confirmed 2025 annual totals of approximately €3,972,988 gross volume and €93,583 fee revenue. For the prior-year column, run the same per-payout conversion method for the matching month in 2024. Round money to 2 decimals, fee rate to 1 decimal. Order months chronologically with TOTAL last.

Check your query with the warehouse's dry_run tool, then hand it in with submit.
    • Grace calls dry_run
      WITH payouts_with_rate AS (
  SELECT
    p.id,
    p.currency_code,
    p.gross_amount,
    p.fee_amount,
    p.net_amount,
    p.paid_at,
    date(p.paid_at) AS paid_date,
    CASE WHEN p.currency_code = 'EUR' THEN 1.0 ELSE er.rate END AS eur_rate
  FROM payouts p
  LEFT JOIN exchange_rates er
    ON er.base_code = 'EUR'
   AND er.quote_code = p.currency_code
   AND er.as_of = date(p.paid_at)
  WHERE p.status IN ('paid', 'completed')
),
payouts_2025_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.gross_amount / pw.eur_rate AS gross_eur,
    pw.fee_amount / pw.eur_rate AS fee_eur,
    pw.net_amount / pw.eur_rate AS net_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2025-01-01' AND pw.paid_date < DATE '2026-01-01'
),
payouts_2024_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.fee_amount / pw.eur_rate AS fee_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2024-01-01' AND pw.paid_date < DATE '2025-01-01'
),
monthly_2025 AS (
  SELECT
    cd.month_label AS month_label,
    cd.month_num AS month_num,
    COUNT(pc.id) AS payout_count,
    SUM(pc.gross_eur) AS gross_volume_eur,
    SUM(pc.fee_eur) AS fee_revenue_eur,
    SUM(pc.net_eur) AS net_paid_out_eur
  FROM payouts_2025_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_label, cd.month_num
),
monthly_2024_fee AS (
  SELECT
    cd.month_num AS month_num,
    SUM(pc.fee_eur) AS fee_revenue_prior_year_eur
  FROM payouts_2024_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_num
),
monthly_combined AS (
  SELECT
    m.month_label,
    m.month_num,
    m.payout_count,
    m.gross_volume_eur,
    m.fee_revenue_eur,
    m.net_paid_out_eur,
    CASE WHEN m.gross_volume_eur = 0 THEN NULL ELSE (m.fee_revenue_eur / m.gross_volume_eur) * 100 END AS fee_rate_pct,
    py.fee_revenue_prior_year_eur
  FROM monthly_2025 m
  LEFT JOIN monthly_2024_fee py ON py.month_num = m.month_num
),
total_row AS (
  SELECT
    'TOTAL' AS month_label,
    13 AS month_num,
    SUM(payout_count) AS payout_count,
    SUM(gross_volume_eur) AS gross_volume_eur,
    SUM(fee_revenue_eur) AS fee_revenue_eur,
    SUM(net_paid_out_eur) AS net_paid_out_eur,
    CASE WHEN SUM(gross_volume_eur) = 0 THEN NULL ELSE (SUM(fee_revenue_eur) / SUM(gross_volume_eur)) * 100 END AS fee_rate_pct,
    SUM(fee_revenue_prior_year_eur) AS fee_revenue_prior_year_eur
  FROM monthly_combined
)
SELECT
  month_label AS month,
  payout_count,
  ROUND(gross_volume_eur, 2) AS gross_volume_eur,
  ROUND(fee_revenue_eur, 2) AS fee_revenue_eur,
  ROUND(net_paid_out_eur, 2) AS net_paid_out_eur,
  ROUND(fee_rate_pct, 1) AS fee_rate_pct,
  ROUND(fee_revenue_prior_year_eur, 2) AS fee_revenue_prior_year_eur
FROM (
  SELECT * FROM monthly_combined
  UNION ALL
  SELECT * FROM total_row
) x
ORDER BY month_num
    • The warehouse answers
      STATUS: COMPILES (dry run on the empty schema, no data read)
COLUMNS: month, payout_count, gross_volume_eur, fee_revenue_eur, net_paid_out_eur, fee_rate_pct, fee_revenue_prior_year_eur
    • GraceThe query compiles and returns the requested columns. Submitting now.
    • Grace calls submit
      WITH payouts_with_rate AS (
  SELECT
    p.id,
    p.currency_code,
    p.gross_amount,
    p.fee_amount,
    p.net_amount,
    p.paid_at,
    date(p.paid_at) AS paid_date,
    CASE WHEN p.currency_code = 'EUR' THEN 1.0 ELSE er.rate END AS eur_rate
  FROM payouts p
  LEFT JOIN exchange_rates er
    ON er.base_code = 'EUR'
   AND er.quote_code = p.currency_code
   AND er.as_of = date(p.paid_at)
  WHERE p.status IN ('paid', 'completed')
),
payouts_2025_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.gross_amount / pw.eur_rate AS gross_eur,
    pw.fee_amount / pw.eur_rate AS fee_eur,
    pw.net_amount / pw.eur_rate AS net_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2025-01-01' AND pw.paid_date < DATE '2026-01-01'
),
payouts_2024_converted AS (
  SELECT
    pw.id,
    pw.paid_date,
    pw.fee_amount / pw.eur_rate AS fee_eur
  FROM payouts_with_rate pw
  WHERE pw.paid_date >= DATE '2024-01-01' AND pw.paid_date < DATE '2025-01-01'
),
monthly_2025 AS (
  SELECT
    cd.month_label AS month_label,
    cd.month_num AS month_num,
    COUNT(pc.id) AS payout_count,
    SUM(pc.gross_eur) AS gross_volume_eur,
    SUM(pc.fee_eur) AS fee_revenue_eur,
    SUM(pc.net_eur) AS net_paid_out_eur
  FROM payouts_2025_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_label, cd.month_num
),
monthly_2024_fee AS (
  SELECT
    cd.month_num AS month_num,
    SUM(pc.fee_eur) AS fee_revenue_prior_year_eur
  FROM payouts_2024_converted pc
  JOIN calendar_days cd ON cd.calendar_date = pc.paid_date
  GROUP BY cd.month_num
),
monthly_combined AS (
  SELECT
    m.month_label,
    m.month_num,
    m.payout_count,
    m.gross_volume_eur,
    m.fee_revenue_eur,
    m.net_paid_out_eur,
    CASE WHEN m.gross_volume_eur = 0 THEN NULL ELSE (m.fee_revenue_eur / m.gross_volume_eur) * 100 END AS fee_rate_pct,
    py.fee_revenue_prior_year_eur
  FROM monthly_2025 m
  LEFT JOIN monthly_2024_fee py ON py.month_num = m.month_num
),
total_row AS (
  SELECT
    'TOTAL' AS month_label,
    13 AS month_num,
    SUM(payout_count) AS payout_count,
    SUM(gross_volume_eur) AS gross_volume_eur,
    SUM(fee_revenue_eur) AS fee_revenue_eur,
    SUM(net_paid_out_eur) AS net_paid_out_eur,
    CASE WHEN SUM(gross_volume_eur) = 0 THEN NULL ELSE (SUM(fee_revenue_eur) / SUM(gross_volume_eur)) * 100 END AS fee_rate_pct,
    SUM(fee_revenue_prior_year_eur) AS fee_revenue_prior_year_eur
  FROM monthly_combined
)
SELECT
  month_label AS month,
  payout_count,
  ROUND(gross_volume_eur, 2) AS gross_volume_eur,
  ROUND(fee_revenue_eur, 2) AS fee_revenue_eur,
  ROUND(net_paid_out_eur, 2) AS net_paid_out_eur,
  ROUND(fee_rate_pct, 1) AS fee_rate_pct,
  ROUND(fee_revenue_prior_year_eur, 2) AS fee_revenue_prior_year_eur
FROM (
  SELECT * FROM monthly_combined
  UNION ALL
  SELECT * FROM total_row
) x
ORDER BY month_num
    • The warehouse answers
      Submitted to tonight's batch. Your work on this request is done.
    • GraceSubmitted. The query builds per-payout EUR conversions (dividing local gross/fee/net by the EUR→currency rate matched on `paid_at` date, with rate=1 for EUR payouts), aggregates by calendar month for 2025, appends a TOTAL row, and pulls the matching-month 2024 fee revenue using the same conversion method for the prior-year column.

    Not shown here: 239 KB of context the agent was given, its instructions and the schema documentation; it is in the raw transcript.

    Grace's transcript (268 KB) · Kofi Mensah's transcript (906 KB) · Tobias Lindqvist's transcript (269 KB) · the night's plan (6 KB) · the night's reports (6 KB) · the week's memo (3 KB)