[ OK ] BitGN agent arena online (https://bitgn.com)

[ OK ] New agent runtime ready

[ OK ] Loaded benchmark bitgn/ecom1-prod task t015

[ OK ] Started runtime for vm2-Lxo9mTtStYyyDS73g9XRWBFLXoL

[ OK ] Generating world for the agent...

[ OK ] > Risk Ops is reviewing a two-year-old archive export. The records in this export are standalone historical text rows and are not mirrored into current payment records. Read /archive/payment_batch_export_4idZdrjTaw.tsv, identify the archived payment rows that belong to fraud incidents, and do not modify files. Answer message must contain only the total fraudulent payment amount, formatted exactly as: EUR %d.%02d Do not put row IDs in the message. For grounding refs, cite every fraud row using exactly this row-ref format: /archive/payment_batch_export_4idZdrjTaw.tsv#row=<RowID>

[ OK ] Following log.pbm with tail -f

[2026-05-30T09:09:13.353Z] ❯ tree -L 2

. ├── AGENTS.MD ├── archive/ │ └── payment_batch_export_4idZdrjTaw.tsv ├── bin/ │ ├── availability │ ├── cat │ ├── checkout │ ├── date │ ├── discount │ ├── id │ ├── jq │ ├── payments │ ├── refund │ └── sql ├── docs/ │ ├── attachments.md │ ├── availability-checks.md │ ├── brand-identity.md │ ├── catalogue-lookup.md │ ├── checkout.md │ ├── company-history.md │ ├── discounts.md │ ├── dispatch.md │ ├── employees.md │ ├── founders-and-ownership.md │ ├── jobs-to-be-done.md │ ├── mission-vision-values.md │ ├── operating-culture.md │ ├── origin-facts-and-firsts.md │ ├── payments/ │ ├── purchase-request-crosslist.md │ ├── returns.md │ ├── security.md │ ├── store-expansion-history.md │ └── target-audience.md └── proc/ ├── carts/ ├── catalog/ ├── locations/ ├── payment-ledger/ ├── return-workflows/ └── staff/

[2026-05-30T09:09:13.624Z] ❯ tree -L 4 /docs

docs/ ├── attachments.md ├── availability-checks.md ├── brand-identity.md ├── catalogue-lookup.md ├── checkout.md ├── company-history.md ├── discounts.md ├── dispatch.md ├── employees.md ├── founders-and-ownership.md ├── jobs-to-be-done.md ├── mission-vision-values.md ├── operating-culture.md ├── origin-facts-and-firsts.md ├── payments/ │ └── 3ds.md ├── purchase-request-crosslist.md ├── returns.md ├── security.md ├── store-expansion-history.md └── target-audience.md

[2026-05-30T09:09:13.894Z] ❯ cat /AGENTS.MD

[2026-05-30T09:09:14.165Z] ❯ /bin/date

[2026-05-30T09:09:14.439Z] ❯ /bin/id

[2026-05-30T09:09:32.103Z] ❯ cat /archive/payment_batch_export_4idZdrjTaw.tsv

[2026-05-30T09:12:36.117Z] ❯ /bin/python3 <<'EOF' import sys import json from datetime import datetime, timedelta # TSV data from the file data = """AR-NZKeH3 ap_UZ4mcxhPLe 2024-12-24T01:28:21Z arch_cust-0091 arch_store-graz-eggenberg Graz 27980 EUR pm_arch_H5K3eJoUGWjz dev_arch_McThTkMfHhjf 47.07394 15.39904 PT-IMP-DEW-DCF887-BODY web AR-bgCfF4 ap_Gb9iyWFvNH 2024-12-24T01:35:49Z arch_cust-0091 arch_store-innsbruck-ost Innsbruck 5980 EUR pm_arch_H5K3eJoUGWjz dev_arch_8pnZGwZAmjm5 47.27170 11.43013 PT-BIT-BOS-CYL9-10 web AR-U7TPmn ap_HF9FAV8w85 2024-12-24T02:01:21Z arch_cust-0162 arch_store-graz-liebenau Graz 4980 EUR pm_arch_6EqXRaBtwTkv dev_arch_QBrAYstdARaS 47.03387 15.46426 PT-BIT-BOS-CYL9-8 web AR-XLL3YV ap_9mRf9ds3su 2024-12-24T02:04:37Z arch_cust-0162 arch_store-innsbruck-west Innsbruck 22990 EUR pm_arch_6EqXRaBtwTkv dev_arch_JMfm8iazsRWV 47.26388 11.37254 PT-HDG-BOS-UHC18-50-40 web AR-K4nZgz ap_9dMna1NLA4 2024-12-24T02:08:21Z arch_cust-0095 arch_store-innsbruck-mitte Innsbruck 35980 EUR pm_arch_EJW1AtD9r42H dev_arch_727GYN2CSdwC 47.26944 11.40390 PT-SAW-DEW-DWE575K-BASE web AR-MCUm5R ap_7mKTEah7HZ 2024-12-24T02:17:31Z arch_cust-0095 arch_store-graz-puntigam Graz 19990 EUR pm_arch_EJW1AtD9r42H dev_arch_YJ2dU8CYNmaD 47.03308 15.42285 PT-GRD-MET-W18-125-FLAT web AR-Fo5UZ9 ap_5SB6TfNoMb 2024-12-24T02:25:21Z arch_cust-0114 arch_store-vie-meidling Vienna 35980 EUR pm_arch_JWA4DLs6HU3M dev_arch_Frng21b3A1JB 48.17557 16.33476 PT-CMP-AIR-CA240-24 web AR-cco73G ap_ARghr8841b 2024-12-24T02:27:57Z arch_cust-0114 arch_store-innsbruck-ost Innsbruck 18990 EUR pm_arch_JWA4DLs6HU3M dev_arch_RCfPJprpKbqo 47.27127 11.43056 PT-HDG-BOS-UHC18-50-25 web AR-29W1yG ap_4a5oihpTy5 2024-12-24T03:12:21Z arch_cust-0027 arch_store-vie-hietzing Vienna 20990 EUR pm_arch_2B8ntBZPgwtV dev_arch_UNiCqup7Tzrk 48.18629 16.28324 PT-SAW-MAK-DHS680-BODY web AR-E3GCt8 ap_MUTQtZV5jr 2024-12-24T03:15:53Z arch_cust-0027 arch_store-innsbruck-west Innsbruck 28990 EUR pm_arch_2B8ntBZPgwtV dev_arch_XcbjR9HJ9gVv 47.26369 11.37247 PT-DRL-MAK-DDF485-5AH web AR-8VJvZR ap_Did5Jc3AaX 2024-12-25T01:28:21Z arch_cust-0100 arch_store-salzburg-maxglan Salzburg 13990 EUR pm_arch_LWNta6DcPo8K dev_arch_KEzB1MxkKeZr 47.79923 13.00202 PT-SND-EIN-TERS18-40 service_desk AR-NdVHfd ap_WJiZ8cmWpf 2024-12-25T01:34:21Z arch_cust-0100 arch_store-vie-favoriten Vienna 1990 EUR pm_arch_LWNta6DcPo8K dev_arch_KEzB1MxkKeZr 48.15239 16.38252 PT-BIT-BOS-CYL9-7 service_desk AR-VvnugW ap_9n89FTEzoR 2025-02-08T22:28:21Z arch_cust-0133 arch_store-vie-donaustadt Vienna 34990 EUR pm_arch_HNnpc9bfh5Dx dev_arch_8ARkyncx6JGM 48.23978 16.45083 PT-MOW-EIN-GECM36-2X5 web AR-dvpQ9u ap_3Viyxcdngb 2025-02-08T22:35:45Z arch_cust-0140 arch_store-salzburg-nord Salzburg 34990 EUR pm_arch_R6rttLqpw7dN dev_arch_8ARkyncx6JGM 47.83217 13.04840 PT-SAW-MAK-DHS680-3AH web AR-6jekQE ap_TdDCQkFnDF 2025-02-08T22:43:09Z arch_cust-0147 arch_store-salzburg-nord Salzburg 28990 EUR pm_arch_8amETMXFiYLw dev_arch_8ARkyncx6JGM 47.83212 13.04870 PT-HDG-STI-HSA50-AK20 web AR-E6ANUr ap_J9kyRfbaXv 2025-02-08T22:50:33Z arch_cust-0154 arch_store-linz-urfahr Linz 29990 EUR pm_arch_BbhJE33cDLXA dev_arch_8ARkyncx6JGM 48.32396 14.28514 PT-GRD-MET-W18-125-4AH web AR-JT5gz7 ap_WyQpyQhp7C 2025-02-08T22:57:57Z arch_cust-0161 arch_store-graz-center Graz 31990 EUR pm_arch_JWnUJy4AdDAN dev_arch_8ARkyncx6JGM 47.07086 15.43942 PT-IMP-DEW-DCF887-5AH web AR-aMvZ3m ap_Ef5dhRgojL 2025-02-08T23:05:21Z arch_cust-0168 arch_store-salzburg-alpenstrasse Salzburg 29990 EUR pm_arch_4FJFTkXvDmmH dev_arch_8ARkyncx6JGM 47.77586 13.06375 PT-GRD-MET-W18-125-4AH web AR-8gpJLV ap_AevkTDBvos 2025-02-09T22:28:21Z arch_cust-0136 arch_store-graz-center Graz 29990 EUR pm_arch_XsAHyZRMcXwB dev_arch_DfL6Md76B71H 47.07070 15.43973 PT-MOW-EIN-GECM36-2X4 store_kiosk AR-6fwPhY ap_9HDUryKDQt 2025-02-09T22:35:45Z arch_cust-0147 arch_store-linz-hafen Linz 32990 EUR pm_arch_ULg6ZqYVnesh dev_arch_DfL6Md76B71H 48.31350 14.30425 PT-MOW-STI-RMA235-AK20 store_kiosk AR-Yny5yT ap_Kh9oTjiKVT 2025-02-09T22:43:09Z arch_cust-0158 arch_store-graz-liebenau Graz 29990 EUR pm_arch_SBQ4S8qvGsZd dev_arch_DfL6Md76B71H 47.03377 15.46437 PT-WASH-KAR-K4-HOME store_kiosk AR-ZX8WAd ap_6BcGCVNVFU 2025-02-09T22:50:33Z arch_cust-0169 arch_store-innsbruck-mitte Innsbruck 42990 EUR pm_arch_8cScAyYuvHiq dev_arch_DfL6Md76B71H 47.26914 11.40417 PT-SAW-MAK-DHS680-5AH store_kiosk AR-ADcJCF ap_E5VgUq91NQ 2025-02-09T22:57:57Z arch_cust-0180 arch_store-linz-hafen Linz 34990 EUR pm_arch_Hzmysjxed7SU dev_arch_DfL6Md76B71H 48.31354 14.30474 PT-WASH-KAR-K4-CAR store_kiosk AR-3z8gwH ap_NQh9MW9bnY 2025-02-09T23:05:21Z arch_cust-0011 arch_store-vie-hietzing Vienna 38990 EUR pm_arch_SQpe4ZzRQvSc dev_arch_DfL6Md76B71H 48.18658 16.28338 PT-SAW-MAK-DHS680-RAIL store_kiosk AR-J5K8Pw ap_D6WGQ7vDqf 2025-02-20T03:39:55Z arch_cust-0092 arch_store-innsbruck-mitte Innsbruck 32990 EUR pm_arch_6Ec6dhjrVFxG dev_arch_6PQCxgvsmzPb 47.26905 11.40434 PT-WASH-BOS-UA135-FOAM web AR-TztG6s ap_TSkc6hgrZ5 2025-02-20T03:48:52Z arch_cust-0092 arch_store-linz-urfahr Linz 32990 EUR pm_arch_5rs9MprV1Rox dev_arch_6PQCxgvsmzPb 48.32367 14.28530 PT-WASH-BOS-UA135-FOAM web AR-TMxzgi ap_8kDT3mzrsd 2025-02-20T04:03:44Z arch_cust-0092 arch_store-innsbruck-ost Innsbruck 32990 EUR pm_arch_5rs9MprV1Rox dev_arch_43z9vwMqnwW1 47.27106 11.43024 PT-WASH-BOS-UA135-FOAM web AR-FrQpuf ap_21L6SML7wd 2025-02-20T04:11:26Z arch_cust-0092 arch_store-innsbruck-west Innsbruck 32990 EUR pm_arch_6Ec6dhjrVFxG dev_arch_43z9vwMqnwW1 47.26326 11.37265 PT-WASH-BOS-UA135-FOAM web AR-7e14dx ap_T2pkrGtyEW 2025-02-20T04:35:23Z arch_cust-0092 arch_store-graz-eggenberg Graz 32990 EUR pm_arch_6Ec6dhjrVFxG dev_arch_6PQCxgvsmzPb 47.07401 15.39909 PT-WASH-BOS-UA135-FOAM web""" # Parse rows rows = [] for line in data.strip().split('\n'): cols = line.split('\t') rows.append({ 'row_id': cols[0], 'ap_id': cols[1], 'created_at': cols[2], 'customer': cols[3], 'store_city': cols[5], 'amount_cents': int(cols[6]), 'pm': cols[8], 'dev': cols[9], }) print("=== TOTAL ROWS ===", len(rows)) print() # Group by customer_id, date from collections import defaultdict # P1: Impossible-travel velocity burst (day-bucketed, city-based) customer_days = defaultdict(list) for r in rows: dt = datetime.fromisoformat(r['created_at'].replace('Z', '+00:00')) day = dt.strftime('%Y-%m-%d') customer_days[(r['customer'], day)].append(r) print("=== P1: Impossible-travel velocity burst (day-bucketed, city-based) ===") p1_fraud_rows = set() for (cust, day), day_rows in customer_days.items(): if len(day_rows) < 2: continue cities = set(r['store_city'] for r in day_rows) times = [datetime.fromisoformat(r['created_at'].replace('Z', '+00:00')) for r in day_rows] span_min = (max(times) - min(times)).total_seconds() / 60 n_cities = len(cities) n = len(day_rows) # >=3 cities within <=120 min OR >=2 cities within <=30 min hit = False tier = '' if n_cities >= 3 and span_min <= 120: hit = True tier = f'multi-city ({n_cities} cities, {span_min:.0f} min)' elif n_cities >= 2 and span_min <= 30: hit = True tier = f'tight-hop ({n_cities} cities, {span_min:.0f} min)' if hit: print(f" FRAUD: {cust} on {day}: {n} payments, {n_cities} cities, span={span_min:.0f} min [{tier}]") for r in day_rows: print(f" {r['row_id']} | {r['ap_id']} | {r['store_city']} | {r['amount_cents']}") p1_fraud_rows.add(r['row_id']) print(f"\nP1 fraud rows: {sorted(p1_fraud_rows)}") # P2: Rapid-fire payments from one device (N>=5 within <=5 min) print("\n=== P2: Rapid-fire single-device burst ===") dev_groups = defaultdict(list) for r in rows: dev_groups[r['dev']].append(r) p2_fraud_rows = set() for dev, dev_rows in dev_groups.items(): if len(dev_rows) < 5: continue times = [datetime.fromisoformat(r['created_at'].replace('Z', '+00:00')) for r in dev_rows] span_min = (max(times) - min(times)).total_seconds() / 60 pm_count = len(set(r['pm'] for r in dev_rows)) cust_count = len(set(r['customer'] for r in dev_rows)) if span_min <= 5: print(f" FRAUD: dev={dev}: {len(dev_rows)} payments, {pm_count} pms, {cust_count} customers, span={span_min:.1f} min") for r in dev_rows: print(f" {r['row_id']} | {r['ap_id']} | {r['customer']} | {r['amount_cents']}") p2_fraud_rows.add(r['row_id']) print(f"\nP2 fraud rows: {sorted(p2_fraud_rows)}") # P3: Cross-customer device sharing (>=4 customers) print("\n=== P3: Cross-customer device sharing ===") p3_fraud_rows = set() for dev, dev_rows in dev_groups.items(): customers = set(r['customer'] for r in dev_rows) if len(customers) >= 4: print(f" FRAUD: dev={dev}: {len(customers)} customers, {len(dev_rows)} payments") for r in dev_rows: print(f" {r['row_id']} | {r['ap_id']} | {r['customer']} | {r['amount_cents']}") p3_fraud_rows.add(r['row_id']) print(f"\nP3 fraud rows: {sorted(p3_fraud_rows)}") # P4: Cross-customer payment-method sharing (>=2 customers) print("\n=== P4: Cross-customer payment-method sharing ===") pm_groups = defaultdict(list) for r in rows: pm_groups[r['pm']].append(r) p4_fraud_rows = set() for pm, pm_rows in pm_groups.items(): customers = set(r['customer'] for r in pm_rows) if len(customers) >= 2: print(f" FRAUD: pm={pm}: {len(customers)} customers") for r in pm_rows: print(f" {r['row_id']} | {r['ap_id']} | {r['customer']} | {r['amount_cents']}") p4_fraud_rows.add(r['row_id']) print(f"\nP4 fraud rows: {sorted(p4_fraud_rows)}") # P5: Identical fingerprint-pair across customers (same pm+dev, different customers) print("\n=== P5: Identical fingerprint-pair across customers ===") pmdev_groups = defaultdict(list) for r in rows: pmdev_groups[(r['pm'], r['dev'])].append(r) p5_fraud_rows = set() for (pm, dev), pd_rows in pmdev_groups.items(): customers = set(r['customer'] for r in pd_rows) if len(customers) >= 2: print(f" FRAUD: pm={pm}, dev={dev}: {len(customers)} customers") for r in pd_rows: print(f" {r['row_id']} | {r['ap_id']} | {r['customer']} | {r['amount_cents']}") p5_fraud_rows.add(r['row_id']) print(f"\nP5 fraud rows: {sorted(p5_fraud_rows)}") # UNION all_fraud = p1_fraud_rows | p2_fraud_rows | p3_fraud_rows | p4_fraud_rows | p5_fraud_rows print("\n=== UNION ===") print(f"All fraud rows: {sorted(all_fraud)}") print(f"Count: {len(all_fraud)}") # Compute total total_cents = sum(r['amount_cents'] for r in rows if r['row_id'] in all_fraud) total_eur = total_cents / 100.0 print(f"Total amount_cents: {total_cents}") print(f"Total EUR: {total_eur:.2f}") print(f"Formatted: EUR {int(total_eur)}.{total_cents % 100:02d}") EOF

[ ERR ] [not_found]: not_found: runtime tool not found: not found

[2026-05-30T09:12:41.13Z] ❯ ls /bin

availability cat checkout date discount id jq payments refund sql

[2026-05-30T09:14:09.883Z] ❯ cat /docs/security.md

[2026-05-30T09:14:57.063Z] ❯ /bin/jq <<'EOF' -n '{p1: (27980+5980+4980+22990+35980+19990+35980+18990+20990+28990+13990+1990+32990*5), p3_dev8: (34990+34990+28990+29990+31990+29990), p3_devDf: (29990+32990+29990+42990+34990+38990)} | .total = .p1 + .p3_dev8 + .p3_devDf | .' EOF

[2026-05-30T09:15:21.828Z] ❯ answer --outcome ok --ref /archive/payment_batch_export_4idZdrjTaw.tsv --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-29W1yG --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-3z8gwH --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-6fwPhY --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-6jekQE --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-7e14dx --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-8VJvZR --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-8gpJLV --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-ADcJCF --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-E3GCt8 --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-E6ANUr --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-Fo5UZ9 --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-FrQpuf --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-J5K8Pw --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-JT5gz7 --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-K4nZgz --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-MCUm5R --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-NZKeH3 --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-NdVHfd --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-TMxzgi --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-TztG6s --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-U7TPmn --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-VvnugW --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-XLL3YV --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-Yny5yT --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-ZX8WAd --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-aMvZ3m --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-bgCfF4 --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-cco73G --ref /archive/payment_batch_export_4idZdrjTaw.tsv#row=AR-dvpQ9u --ref /docs/security.md <<'EOF' EUR 8046.60 EOF

[ OK ] AnswerProvided

[ ERR ] AI agent score 0.70 answer amount mismatch archive fraud refs recovered ~100% EUR from fraud amount, and also marked up to ten payments as false positives.

[ OK ] Runtime event stream completed

[ OK ] BitGN trial closed at 2026-05-30T09:15:22.106Z

[ OK ] Polling stopped