SWIFT MT720 Documentary Credit Notification

This dataset provides detailed records of SWIFT MT720 notifications for the transfer of documentary credits, including all parties, financial amounts, terms, and status updates. It enables comprehensive tracking and analysis of credit transfers between beneficiaries under transferable credit terms, supporting compliance, audit, and operational efficiency in international trade finance.

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

Automated compliance and audit tracking of documentary credit transfers

Sample rows

preview · 8 of 150 rows · all 30 columns
notification_idstringcredit_typestringtransfer_amountfloatsecond_beneficiary_address_statestringdocumentary_credit_numberstringissuing_bank_namestringissuing_bank_swift_codestringadvising_bank_namestringadvising_bank_swift_codestringfirst_beneficiary_namestringfirst_beneficiary_address_streetstringfirst_beneficiary_address_citystringfirst_beneficiary_address_statestringfirst_beneficiary_address_postal_codestringfirst_beneficiary_address_countrystringsecond_beneficiary_namestringsecond_beneficiary_address_streetstringsecond_beneficiary_address_citystringsecond_beneficiary_address_postal_codestringsecond_beneficiary_address_countrystringcurrencystringtransfer_datedateexpiry_datedateplace_of_expirystringterms_and_conditionsstringcharges_and_feesstringadditional_instructionsstringstatusstringcreated_atdatetimeupdated_atdatetime
ZJ9H2XQ7A1transferable1825000blankLC2023TRF001Deutsche Bank AGDEUTDEFFBNP ParibasBNPAFRPPGlobal Metals Trading Ltd2 KaiserstrasseFrankfurtblank60311GermanyShanghai Steel Export Co88 Jing'an RoadShanghai200040ChinaEUR2023-05-182024-05-17ShanghaiShipment via sea, documents required within 21 days.Bank commission EUR 2,800blankcompleted2023-05-17T14:08:332023-09-02T10:31:12
U7P3M5T1KJtransferable525000ONDC-USD-2022-1452Bank of America N.A.BOFAUS3NHSBC Bank CanadaHSBCCATTPacific Timber Corp1201 Market StSan FranciscoCA94105USAOntario Woodworks Inc348 King St WTorontoM5V 1J9CanadaUSD2022-12-072023-06-07TorontoPartial shipment allowed. Insurance required.USD 1,600 transfer feeblankcompleted2022-12-06T21:09:452023-03-15T16:24:58
Q4X7LC8A2Ztransferable79000blankLC2022TRF003Barclays Bank PLCBARCGB22Lloyds Bank PLCLOYDGB2LEuroTextiles Ltd19 Oxford StreetLondonblankW1D 2DNUKMadrid Apparel S.A.Calle de Serrano 45Madrid28001SpainGBP2022-10-142023-03-14MadridInspection at origin required.GBP 350 service chargeDeliver by air freight.completed2022-10-10T13:31:222023-02-14T12:22:12
H8Y9V1W2RStransferable12000000blankLC2023TRF070China Construction BankPCBCCNBJBank of ChinaBKCHCNBJGuangzhou Plastics GroupNo. 12 Tianhe RdGuangzhoublank510620ChinaTokyo Chemicals Ltd3-18-1 NihonbashiTokyo103-0027JapanCNY2023-07-232024-03-23TokyoFOB port, insurance buyer's responsibility.CNY 11,000 processing feeblankcompleted2023-07-21T08:34:002023-08-15T10:10:25
M3E2G7N5YQtransferable112000blankDC-GBP-2021-552HSBC Holdings PLCHBUKGB4BSantander UK PLCSANTGB2LNorthern Foods PLC1 Trinity SquareLeedsblankLS1 2ESUKDublin Dairy Ltd5 Dame StreetDublinD02 Y006IrelandGBP2021-06-122022-02-12DublinAll shipments must be refrigerated.GBP 400Notify upon arrival.completed2021-06-10T11:25:102021-06-19T14:45:32
B2Q1R7V9XStransferable550000blankLC2021TRF098JPMorgan Chase BankCHASUS33ScotiabankNOSCCATTMidwest Grain Exporters LLC2515 W 6th StKansas CityMO64108USARio Foods LtdblankRio de Janeiro22041-001BrazilUSD2021-11-302022-05-30Rio de JaneiroDelivery by land route.USD 1,900blankcompleted2021-11-29T12:45:332022-02-03T17:12:44
V9S2M6L7QXtransferable66000VICLC2022TRF051Commonwealth Bank of AustraliaCTBAAU2SWestpac Banking CorpWPACAU2SSydney Electronics Pty Ltd10 George StSydneyNSW2000AustraliaMelbourne IT Solutions120 Collins StMelbourne3000AustraliaAUD2022-09-022023-03-02MelbournePayment upon delivery.AUD 210Handle with care.completed2022-08-31T09:12:102023-02-01T11:30:00
N6F4K0Y8PEtransferable129700TNDC-INR-2023-671State Bank of IndiaSBININBBHDFC BankHDFCINBBMumbai Pharma Pvt LtdPlot 18, Andheri EastMumbaiMH400069IndiaChennai Biotech Ltd25 Anna SalaiChennai600002IndiaINR2023-03-152023-09-15ChennaiLab certification required.INR 1,100blankcompleted2023-03-13T07:33:412023-04-10T09:21:03

What the 150 rows show

from the 150-row sample
  • 78,500median transfer_amount
  • 3statuses
  • 16currencies
  • 26first beneficiary address countries
  • 38second beneficiary address countries
credit_type150 rows by value
075150142transferable95%2irrevocable1%6revocable4%
transfer_amount150 rows, in bands of 5M
075150144230001020M35Mtransfer_amount →

Median 78,500, from 0.01 to 32,450,000.

second_beneficiary_address_state39 rows with a value · 111 left blank
  1. ON5
  2. BC5
  3. VIC4
  4. CA4
  5. Maharashtra4
  6. Delhi3
  7. SP2
  8. QC2
  9. Tamil Nadu2
  10. NSW2
30 columns by typefrom the column list below
  • string 25
  • float 1
  • date 2
  • datetime 2

Columns

30 columns in three groups
blueprint · 30 columns
columntypedescriptionexample
Text 25 columns
notification_idstringUnique identifier for the SWIFT MT720 notificationuniqueZJ9H2XQ7A1
documentary_credit_numberstringReference number of the original documentary creditLC2023TRF001
issuing_bank_namestringName of the bank that issued the original documentary creditDeutsche Bank AG
issuing_bank_swift_codestringSWIFT/BIC code of the issuing bankDEUTDEFF
advising_bank_namestringName of the bank advising the transferBNP Paribas
advising_bank_swift_codestringSWIFT/BIC code of the advising bankBNPAFRPP
first_beneficiary_namestringName of the first beneficiary (original beneficiary)Pacific Timber Corp
first_beneficiary_address_streetstringStreet address of the first beneficiaryoptional2 Kaiserstrasse
first_beneficiary_address_citystringCity of the first beneficiaryoptionalFrankfurt
first_beneficiary_address_statestringState or province of the first beneficiaryoptionalCA
first_beneficiary_address_postal_codestringPostal code of the first beneficiaryoptional60311
first_beneficiary_address_countrystringCountry of the first beneficiaryoptionalGermany
second_beneficiary_namestringName of the second beneficiary (to whom the credit is transferred)Shanghai Steel Export Co
second_beneficiary_address_streetstringStreet address of the second beneficiaryoptional88 Jing'an Road
second_beneficiary_address_citystringCity of the second beneficiaryoptionalShanghai
second_beneficiary_address_statestringState or province of the second beneficiaryoptionalON
second_beneficiary_address_postal_codestringPostal code of the second beneficiaryoptional200040
second_beneficiary_address_countrystringCountry of the second beneficiaryoptionalChina
currencystringCurrency code for the transfer amount (ISO 4217)EUR
place_of_expirystringPlace where the transferred credit expiresoptionalShanghai
credit_typestringType of documentary credit (e.g., 'transferable', 'irrevocable')transferable · irrevocable · revocabletransferable
terms_and_conditionsstringSummary of terms and conditions for the transferred creditoptionalDelivery by land route.
charges_and_feesstringDetails of any charges or fees applied during the transferoptionalUSD 1,600 transfer fee
additional_instructionsstringAny additional instructions or remarks included in the notificationoptionalDeliver by air freight.
statusstringCurrent status of the notification (e.g., 'pending', 'completed', 'cancelled')pending · completed · cancelledcompleted
Numbers 1 column
transfer_amountfloatAmount of credit transferred to the second beneficiary0.01 or more1825000
Dates and times 4 columns
transfer_datedateDate when the transfer of credit was effected2023-05-18
expiry_datedateExpiry date of the transferred documentary credit2024-05-17
created_atdatetimeTimestamp when the notification was created2023-05-17T14:08:33
updated_atdatetimeTimestamp when the notification was last updatedoptional2023-09-02T10:31:12

Use it for

  • median transfe…78,500150 rowsmean transfer amount …968.1ktransf…3.4Mirrevo…24.5krevoca…

    A finance dashboard

    Transfer_amount by credit_type and a breakdown of second_beneficiary_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 notifications with documentary_credit_number, issuing_bank_name and issuing_bank_swift_code to fill a screen in front of a buyer.

Not quite right?

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This dataset150 rows30 columns
Yours1,000 rows30 columnsfirst_beneficiary_address_street: UK only

blueprint · swift-mt720-documentary-credit-notification

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 30 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
  • Original LC must be transferable
  • Transfer reference unique
  • Original LC number referenced
  • First beneficiary details
  • Second beneficiary details
  • Transferred amount not exceeding original
  • Transferred portion specified
  • Terms may be more restrictive
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
swift-mt720-documentary-credit-notification

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