SWIFT MT112 Request for Stop Payment

This dataset provides detailed records of SWIFT MT112 stop payment requests, including requester and beneficiary details, payment instrument information, bank branch data, and processing status. It enables comprehensive tracking, auditing, and analysis of stop payment activities in financial institutions, supporting risk management and regulatory reporting.

  • last updated 29 Oct 2025
  • by GoMask
The brief that made it

Automated processing and tracking of stop payment requests

Sample rows

preview · 8 of 150 rows · all 23 columns
request_idstringrequester_typestringinstrument_amountfloatbank_address_statestringrequest_datedatetimerequester_idstringrequester_namestringbeneficiary_namestringbeneficiary_account_numberstringinstrument_typestringinstrument_numberstringinstrument_issue_datedateinstrument_currencystringreason_for_stopstringprocessing_statusstringstatus_update_datedatetimebank_namestringbank_branch_codestringbank_address_streetstringbank_address_citystringbank_address_postal_codestringbank_address_countrystringadditional_notesstring
AZ93JHFU4Tcustomer4550.75MH2024-04-21T10:02:34ZCUS4823901Priya MenonRajat KumarIN209384738472chequeCHK154002832024-04-10INRCheque lost in transitpendingblankAxis BankAXIS54MG RoadMumbai400001INCustomer reported loss on April 20
C7YQZJ5V01bank350000blank2023-09-13T16:44:21ZBANK7012Credit SuisseAlpine Holdings AGCH9300762011623852957draftDRFT84639212023-09-10CHFDuplicate draft issued by errorcompleted2023-09-15T11:19:31ZCredit SuisseCSG02Bahnhofstrasse 45Zurich8001CHSecond draft voided per compliance
U09WFXKLPQcustomer0.99CA2024-01-08T13:31:17ZCUS1058824David ReynoldsblankblankotherOTR50819372024-01-07USDIncorrect payee details enteredpendingblankWells FargoWF202Mission StSan Francisco94105USblank
K4B3TWM8UQbank12000blank2022-12-03T09:17:42ZBANK9417Banco SantanderCarlos MartinezES9300491500051234567890payment-orderPO384721562022-11-25EURPayment order issued in errorapproved2022-12-05T10:13:09ZBanco SantanderBSD57Paseo de la CastellanaMadrid28046ESCorporate client request
G83YJZKLQWcustomer125.5blank2024-05-14T07:04:15ZCUS8539472Yuki MatsumotoAkira SaitoJP3984572301chequeCHK498210672024-05-03JPYCheque not delivered to beneficiarypendingblankMizuho BankMZB12Shinjuku AveTokyo1600022JPUrgent delivery requested
V2C9LQTKHFcustomer730blank2022-07-19T15:22:08ZCUS7829306Fatima El-SayedMohamed FaroukEG10938471234draftDRFT38194622022-07-17EGPDraft lost during deliverycompleted2022-07-21T11:29:40ZBanque MisrBM19Sharia RamsesCairo11511EGCourier accident reported
R7W4JZNQPUcustomer2600IDF2023-03-22T11:27:55ZCUS1104302Caroline DuboisLuc MartinFR1420041010050500013M02606chequeCHK307198422023-03-20EURCheque damaged in mailapproved2023-03-23T09:05:11ZBNP ParibasBNPP86Avenue des ChampsParis75008FRblank
D3F2YQZKLMbank80000NSW2023-10-01T19:54:08ZBANK2318Commonwealth BankSydney Tech Pty LtdAU421982347591payment-orderPO902831402023-09-29AUDDuplicate payment detectedcancelled2023-10-01T20:15:30ZCommonwealth BankCBA63George StSydney2000AUCorporate compliance case

What the 150 rows show

from the 150-row sample
  • 1,030median instrument_amount
  • 4instrument types
  • 5processing statuses
  • 29instrument currencies
  • 35bank address countries
requester_type150 rows by value
05010091customer61%59bank39%
instrument_amount150 rows, in bands of 1M
0751501453001103M6Minstrument_amount →

Median 1,030, from 0.01 to 5,120,000.

bank_address_state64 rows with a value · 86 left blank
  1. IDF8
  2. NY6
  3. ON5
  4. SP5
  5. RJ5
  6. MH4
  7. NSW4
  8. CA3
  9. QC3
  10. HE3
23 columns by typefrom the column list below
  • string 19
  • float 1
  • date 1
  • datetime 2

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 19 columns
request_idstringUnique identifier for the stop payment requestuniqueAZ93JHFU4T
requester_typestringIndicates if the requester is a customer or a bankcustomer · bankcustomer
requester_idstringUnique identifier for the customer or bank initiating the requestCUS4823901
requester_namestringName of the customer or bank requesting the stop paymentPriya Menon
beneficiary_namestringName of the beneficiary of the cheque or payment instrumentoptionalRajat Kumar
beneficiary_account_numberstringAccount number of the beneficiaryoptionalIN209384738472
instrument_typestringType of payment instrument (e.g., cheque, draft, etc.)cheque · draft · payment-order · othercheque
instrument_numberstringUnique number of the cheque or payment instrumentCHK15400283
instrument_currencystringCurrency code of the payment instrument (ISO 4217 format)INR
reason_for_stopstringReason for requesting stop paymentCheque lost in transit
processing_statusstringCurrent status of the stop payment requestpending · approved · rejected · completed · cancelledpending
bank_namestringName of the bank processing the stop payment requestAxis Bank
bank_branch_codestringCode of the bank branch handling the requestoptionalAXIS54
bank_address_streetstringStreet address of the bank branchoptionalMG Road
bank_address_citystringCity of the bank branchoptionalMumbai
bank_address_statestringState or province of the bank branchoptionalMH
bank_address_postal_codestringPostal code of the bank branchoptional400001
bank_address_countrystringCountry of the bank branchoptionalIN
additional_notesstringAny additional information or notes regarding the stop payment requestoptionalCorporate client request
Numbers 1 column
instrument_amountfloatAmount specified on the cheque or payment instrument0.01 or more4550.75
Dates and times 3 columns
request_datedatetimeDate and time when the stop payment request was initiated2024-04-21T10:02:34Z
instrument_issue_datedateDate the cheque or payment instrument was issuedoptional2024-04-10
status_update_datedatetimeDate and time of the last status updateoptional2023-09-15T11:19:31Z

Use it for

  • median instrum…1,030150 rowsmean instrument amoun…1.2kcustom…390kbank

    A finance dashboard

    Instrument_amount by requester_type and a breakdown of bank_address_state. Excel, Power BI or Tableau.

  • What pattern can you find in 150 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 150 rows.

  • A software demo

    Believable requests with request_date, requester_type and requester_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset150 rows23 columns
Yours1,000 rows23 columnsbank_branch_code: UK only

blueprint · swift-mt112-request-for-stop-payment

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Transaction reference unique
  • Instrument to be stopped identified
  • Cheque number or payment reference
  • Amount to be stopped
  • Reason for stop payment
  • Stop effective immediately
  • Account holder authorization
  • Expiry date for stop order
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
swift-mt112-request-for-stop-payment

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