SWIFT MT202COV General Financial Institution Transfer

This dataset provides detailed records of SWIFT MT202COV cover payments, linking each transaction to its underlying customer credit transfer (MT103) and capturing all relevant financial institution, customer, and compliance information. It is ideal for regulatory compliance, anti-money laundering (AML) monitoring, and cross-border payment reconciliation in financial institutions.

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

Regulatory compliance and audit trail creation for cross-border payments

Sample rows

preview · 8 of 505 rows · all 24 columns
mt202cov_idstringcompliance_statusstringamountfloatcustomer_address_statestringtransaction_referencestringrelated_mt103_idstringvalue_datedatecurrencystringordering_institution_bicstringbeneficiary_institution_bicstringintermediary_institution_bicstringsender_bicstringreceiver_bicstringsender_referencestringcustomer_namestringcustomer_account_numberstringcustomer_address_streetstringcustomer_address_citystringcustomer_address_postal_codestringcustomer_address_countrystringpurpose_of_paymentstringcompliance_notesstringcreated_atdatetimeupdated_atdatetime
MQ8T4WZ9J7P2H3L6V0C1B5K8S4N3D2X5cleared12500.45NYTXREF20240601A1MT10320240601A12024-06-01USDBOFAUS3NXXXCITIGB2LXXXblankBOFAUS3NXXXCITIGB2LXXXPAYROLL20240601Michael RobertsonUS20240601MROB785120 Park AveNew York10017USSalary PaymentKYC verified; salary transfer.2024-06-01T09:15:14Z2024-06-01T09:45:14Z
KG4J2X9P0L7S8H5V3B1N2A6D8T5Z7F6Wpending7860.1blankTXREF20240601B2MT10320240601B22024-06-01EURDEUTDEFFXXXBNPAFRPPXXXblankDEUTDEFFXXXBNPAFRPPXXXINVOICE20240601Sophie DurandFR20240601SDUR87914 Rue de RivoliParis75001FRConsulting Invoice #4563Awaiting AML check.2024-06-01T10:20:30Zblank
QW5E6R7T8Y9U1I2O3P4A5S6D7F8G9H1Jcleared22500blankTXREF20240602C3MT10320240602C32024-06-02GBPBARCGB22XXXHSBCGB2LXXXblankBARCGB22XXXHSBCGB2LXXXblankOliver SmithGB20240602OSMI223blankLondonEC2V 7HNGBYear-End Bonusblank2024-06-02T11:10:45Z2024-06-02T12:05:45Z
ZX5C6V7B8N9M1Q2W3E4R5T6Y7U8I9O1Pcleared5500.75blankTXREF20240602D4MT10320240602D42024-06-02SGDDBSSSGSGXXXUOBVSGSGXXXblankDBSSSGSGXXXUOBVSGSGXXXSALARY20240602Rachel TanSG20240602RTAN3839 Shenton WaySingapore068813SGSalary PaymentKYC verified.2024-06-02T14:22:10Z2024-06-02T15:17:10Z
LK8J7H6G5F4D3S2A1P0O9I8U7Y6T5R4Epending210000blankTXREF20240603E5MT10320240603E52024-06-03CHFUBSWCHZHXXXCSCHCHZZXXXblankUBSWCHZHXXXCSCHCHZZXXXblankLukas MeierCH20240603LMEI920Bahnhofstrasse 7Zurich8001CHProperty PurchaseSource of funds verified.2024-06-03T08:55:22Zblank
MN9B8V7C6X5Z4A3S2D1F0G9H8J7K6L5Pcleared3500blankTXREF20240604F6MT10320240604F62024-06-04JPYMIZUJPJTXXXSMBCJPJTXXXblankMIZUJPJTXXXSMBCJPJTXXXBONUS20240604Yuki NakamuraJP20240604YNKA5132 Chome MarunouchiTokyo100-0005JPYear-End Bonusblank2024-06-04T09:05:01Z2024-06-04T10:00:01Z
QZ2W3E4R5T6Y7U8I9O1P0A1S2D3F4G5Hcleared950.8MHTXREF20240604G7MT10320240604G72024-06-04INRHDFCBINBBXXXSBININBBXXXblankHDFCBINBBXXXSBININBBXXXblankAmit SharmaIN20240604ASHA420Sector 21 RoadMumbai400021INMedical Billblank2024-06-04T11:48:50Z2024-06-04T12:05:50Z
PL3O2I1U9Y8T7R6E5W4Q3A2S1D0F9G8Hpending10500.6ONTXREF20240605H8MT10320240605H82024-06-05CADROYCCAT2XXXTDOMCATTTORblankROYCCAT2XXXTDOMCATTTORTUITION20240605Emily ChenCA20240605ECHE651525 Bloor St WTorontoM5S 1Y5CATuition FeeAwaiting AML check.2024-06-05T12:14:35Zblank

What the 505 rows show

from the 505-row sample

Flagged (compliance status) stands out: mean amount is 29,270,948, against 64,357 for the rest.

  • 15,800median amount
  • 18currencies
  • 18compliance noteses
  • 19customer address countries
  • 68customer address cities
  • 77purpose of payments
Mean amount by compliance_status505 rows
020M40M118.8kpending114 rows45,718cleared333 rows29.3Mflagged58 rows
amount505 rows, in bands of 20M
02505004911107005080M160Mamount →

Median 15,800, from 0.01 to 150,000,000.

customer_address_state199 rows with a value · 306 left blank
  1. NY49
  2. ON21
  3. CA21
  4. SP17
  5. MH10
  6. NSW10
  7. DL7
  8. RJ7
  9. VIC7
  10. MA6
24 columns by typefrom the column list below
  • string 20
  • float 1
  • date 1
  • datetime 2

Columns

24 columns in three groups
blueprint · 24 columns
columntypedescriptionexample
Text 20 columns
mt202cov_idstringUnique identifier for the MT202COV transaction messageuniqueMQ8T4WZ9J7P2H3L6V0C1B5K8S…
transaction_referencestringReference number assigned to the transaction for tracking purposesTXREF20240601A1
related_mt103_idstringIdentifier of the underlying MT103 customer credit transfer messageMT10320240601A1
currencystringISO 4217 currency code for the transaction (e.g., USD, EUR)USD
ordering_institution_bicstringBIC code of the financial institution ordering the transferBOFAUS3NXXX
beneficiary_institution_bicstringBIC code of the financial institution receiving the fundsCITIGB2LXXX
intermediary_institution_bicstringBIC code of the intermediary financial institution, if applicableoptionalHSBCCNBJXXX
sender_bicstringBIC code of the sending financial institutionBOFAUS3NXXX
receiver_bicstringBIC code of the receiving financial institutionCITIGB2LXXX
sender_referencestringReference provided by the sender for reconciliationoptionalPAYROLL20240601
customer_namestringName of the underlying customer associated with the MT103Michael Robertson
customer_account_numberstringAccount number of the underlying customerUS20240601MROB785
customer_address_streetstringStreet address of the underlying customeroptional120 Park Ave
customer_address_citystringCity of the underlying customeroptionalNew York
customer_address_statestringState or province of the underlying customeroptionalNY
customer_address_postal_codestringPostal code of the underlying customeroptional10017
customer_address_countrystringCountry code of the underlying customer (ISO 3166-1 alpha-2)optionalUS
purpose_of_paymentstringDescription or code indicating the purpose of the paymentoptionalSalary Payment
compliance_statusstringStatus of compliance checks (e.g., pending, cleared, flagged)pending · cleared · flagged · optionalcleared
compliance_notesstringAdditional notes or comments regarding compliance reviewoptionalAwaiting AML check.
Numbers 1 column
amountfloatAmount of money being transferred0.01 or more12500.45
Dates and times 3 columns
value_datedateDate on which the funds are to be made available2024-06-01
created_atdatetimeTimestamp when the record was created2024-06-01T09:15:14Z
updated_atdatetimeTimestamp when the record was last updatedoptional2024-06-01T09:45:14Z

Use it for

  • median amount15,800505 rowsmean amount by compli…118.8kpending45.7kcleared29.3Mflagged

    A finance dashboard

    Amount by compliance_status and a breakdown of customer_address_state. Excel, Power BI or Tableau.

  • Why do the 58 flagged rows have a mean amount of 29,270,948?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable mt202covs with transaction_reference, related_mt103_id and value_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 columns, your size and your rules. See 20 rows before you pay.

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This dataset505 rows24 columns
Yours1,000 rows24 columnscustomer_address_street: UK only

blueprint · swift-mt202cov-general-financial-institution-transfer

Behind this dataset

Same schema. As many rows as you need.

These 505 rows came out of a blueprint — 24 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 in field 20
  • Related reference to underlying MT103 (field 21)
  • Underlying customer credit transfer details (field 50a)
  • Ordering customer information for screening
  • Beneficiary customer information (field 59a)
  • Structured for sanctions screening
  • Interbank settlement amount
  • Value date matches underlying payment
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
swift-mt202cov-general-financial-institution-transfer

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