Sage Intacct

Supported entity operations

This section shows how to perform some of the entity operations in this connector.

Example - List all Vendors

1. In the Configure connector task dialog, click Entities.
2. Select Vendor from the Entity list.
3. Select the List operation, and then click Done.
4. In the Task Input section of the Connectors task, you can set the filterClause as per your requirement.

The value for filter clause should be always passed within the single quotes (') in this format. You can make use of filter clause for filtering records based on any columns.

For the entity Sodocument, make sure to use a filter clause in your request, such as Docparid='Sales Order'.

Example - Get a Vendor record

1. In the Configure connector task dialog, click Entities.
2. Select Vendor from the Entity list.
3. Select the Get operation, and then clickDone.
4. Here, the entity ID is "20001". To set the entity ID, in the Data Mapper section of the Data Mapping, click Open Data Mapping Editor and then enter "20001" in the Input Value field and choose the EntityId as local variable.

   Value of entity id should be passed directly. Here, "20001" is the entity id and the unique primary key value, which should be passed

   In cases, where passing single entity id can throw an error as there will be two composite keys. In such cases, you can make use of filter clause and pass the value, such as id = '20001'

Example - Delete a Vendor record

1. In the Configure connector task dialog, click Entities.
2. Select Vendor from the Entity list.
3. Select the Delete operation, and then click Done.
4. Here, the entity id is set to "20001". To set the entity ID, in the Data Mapper section of the Data Mapping, click Open Data Mapping Editor and then enter "20001" in the Input Value field and choose the EntityId as local variable.

   In cases, where the Entity has two composite business or primary keys instead of specifying the entityId, you can set the filterClause to id='20001'.

Example - Create a Vendor record

1. In the Configure connector task dialog, click Entities.
2. Select Vendor from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

       {
         "Displaycontact_companyname": "Altostrat",
         "Displaycontact_lastname": "Cymbalgroup",
         "Name": "Altostrat_Ltd"
       }
       

   If the integration is successful, the Vendor task's connectorOutputPayload response parameter will have a value similar to the following:

       {
         "Recordno": 83.0,
         "Vendorid": "20047"
       }
       

Example - Create an APBill record

1. In the Configure connector task dialog, click Entities.
2. Select APBill from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Whencreated": "2024-05-05",
         "Whenposted": "2024-06-06",
         "Recordid": "25",
         "Vendorid": "20029",
         "Currency": "USD",
         "Itemaggregate":"<APBILLITEM>
           <ACCOUNTNO>60400</ACCOUNTNO>
           <TRX_AMOUNT>700</TRX_AMOUNT>
           <ENTRYDESCRIPTION>Line 1 of my bill</ENTRYDESCRIPTION>
           <LOCATIONID>100</LOCATIONID>
           <DEPARTMENTID>300</DEPARTMENTID>
           <VENDORID>20029</VENDORID>
           </APBILLITEM>",
         "Whendue": "2024-12-12"
         }
       

   If the integration is successful, the APBill task's connectorOutputPayload response parameter will have a value similar to the following:

        {
         "Recordno": 1511.0
        }
       

Example - Create a Vendtype record

1. In the Configure connector task dialog, click Entities.
2. Select Vendtype from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "Google Created vendtype",
         "Status": "active"
         }
       

   If the integration is successful, the Vendtype task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Name": "Google Created vendtype",
         "Recordno": 16.0
         }
       

Example - Create a Customer record

1. In the Configure connector task dialog, click Entities.
2. Select Customer from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "Altostrat_Ltd",
         "Displaycontact_firstname":"Altostrat"
         }
       

   If the integration is successful, the Customer task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 3663.0,
         "Customerid":"13825"
         }
       

Example - Create an ARInvoice record

1. In the Configure connector task dialog, click Entities.
2. Select ARInvoice from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Customerid": "10303",
         "Whencreated": "2024-07-30",
         "Itemaggregate": <lineitem>
          <glaccountno>40100</glaccountno>
          <amount>100</amount>
          <locationid>100</locationid>
          <departmentid>200</departmentid>
          </lineitem>",
         "Recordid": "789",
         "Whendue": "2024-08-30"
         }
       

   If the integration is successful, the Domains task's connectorOutputPayload response parameter will have a value similar to the following:

        {
         "Success": true
        }
       

Example - Create a CustType record

1. In the Configure connector task dialog, click Entities.
2. Select CustType from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "MGR PVT",
         "Status": "active"
         }
       

   If the integration is successful, the CustType task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Name": "MGR PVT"
         }
       

Example - Create a ReportingPeriod record

1. In the Configure connector task dialog, click Entities.
2. Select ReportingPeriod from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Header1": "Altostrat Reporting Period1",
         "Start_date": "2024-06-13",
         "End_date": "2024-06-15",
         "Name": "Google_Report_Test"
         }
       

   If the integration is successful, the ReportingPeriod task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 259.0
         }
       

Example - Create a GLAccount record

1. In the Configure connector task dialog, click Entities.
2. Select GLAccount from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Accountno": "12120",
         "Title": "Google_GLAccount_1"
         } 
       

   If the integration is successful, the GLAccount task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Accountno": "12120"
         }
       

Example - Create a GLAcctGrp record

1. In the Configure connector task dialog, click Entities.
2. Select GLAcctGrp from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Normal_balance": "credit",
         "Name": "AccountGrp13",
         "Iskpi": false,
         "Membertype": "Accounts"
         }
       

   If the integration is successful, the GLAcctGrp task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 484.0
         }
       

Example - Create a Purchasing_Item record

1. In the Configure connector task dialog, click Entities.
2. Select Purchasing_Item from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Itemtype": "Non-Inventory",
         "Itemid": "89899",
         "Name": "Created Item"
         }
       

   If the integration is successful, the Purchasing_Item task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Itemid": "89899"
         }
       

Example - Create an OrderEntity_Item record

1. In the Configure connector task dialog, click Entities.
2. Select OrderEntity_Item from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Itemtype": "Inventory",
         "Itemid": "89899",
         "Name": "Created Item"
         }
       

   If the integration is successful, the OrderEntity_Item task's connectorOutputPayload response parameter will have a value similar to the following:

    
         {
         "Recordno": 76.0,
         "Itemid": "89899"
         }
       

Example - Create a Checkingaccount record

1. In the Configure connector task dialog, click Entities.
2. Select Checkingaccount from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Bankaccountid": "100_VVV",
         "Bankaccountno": "442516879127",
         "Glaccountno": "20200",
         "Bankname": "Sapphire Venture Bank",
         "Routingno": "121010303",
         "Bankaccounttype": "checking",
         "Phone": "4085551212",
         "Locationid": "100",
         "Mailaddress_zip": "95110",
         "Mailaddress_city": "San Jose",
         "Mailaddress_state": "CA",
         "Mailaddress_country": "United States"
         }
       

   If the integration is successful, the Checkingaccount task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Bankaccountid": "100_VVV"
         }
       

Example - Create a Savingsaccount record

1. In the Configure connector task dialog, click Entities.
2. Select Savingsaccount from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Bankaccountid": "CCI",
         "Bankname": "CCIB",
         "Locationid": "100"
         }
       

   If the integration is successful, the savingsaccount task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Bankaccountid": "CCI"
         }
       

Example - Create a SOPriceList record

1. In the Configure connector task dialog, click Entities.
2. Select SOPriceList from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Datefrom": "2024-01-01",
         "Dateto": "2025-01-01",
         "Name": "SOListGoogle"
         }
       

   If the integration is successful, the SOPriceList task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 28.0,
         "Name": "SOListGoogle"
         }
       

Example - Create a Contacts record

1. In the Configure connector task dialog, click Entities.
2. Select Contacts from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Contactname": "Alex taylor's",
         "Printas": "sage intacct"
         }
       

   If the integration is successful, the Company_Contacts task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 3929.0,
         "Contactname": "Alex taylor's"
         }
       

Example - Create a UserInfo record

1. In the Configure connector task dialog, click Entities.
2. Select UserInfo from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Loginid": "Dana cruz",
         "Contactinfo_lastname": "Cruz",
         "Contactinfo_firstname": "Dana",
         "Contactinfo_email2": "danacruz@gmail.com",
         "Usertype": "business user"
         }
       

   If the integration is successful, the Company_UserInfo task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Loginid": "Dana cruz"
         }
       

Example - Create a Department record

1. In the Configure connector task dialog, click Entities.
2. Select Department from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Departmentid": "GFK2",
         "Title": "Google Created department 2"
         }
       

   If the integration is successful, the Company_Department task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 10.0
         }
       

Example - Create an EarningType record

1. In the Configure connector task dialog, click Entities.
2. Select EarningType from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "PRMethod",
         "Method": "Salary",
         "Billableacctno": "51701",
         "Nonbillableacctno": "51702"
         }
       

   If the integration is successful, the Company_EarningType task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": "9"
         }
       

Example - Create an Employee record

1. In the Configure connector task dialog, click Entities.
2. Select Employee from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Locationid": "100",
         "Personalinfo_contactname": "New Google"
         }
       

   If the integration is successful, the Company_Employee task's connectorOutputPayload response parameter will have a value similar to the following:

    
         {
         "Recordno": 42.0,
         "Employeeid": "1028"
         }
       

Example - Create a Location record

1. In the Configure connector task dialog, click Entities.
2. Select Company_Location from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Locationid": "350",
         "Name": "Lisbon",
         "Parentid": "100",
         "Startdate": "2000-02-02",
         "Status": "inactive"
         }
       

   If the integration is successful, the Company_Location task's connectorOutputPayload response parameter will have a value similar to the following:

    
         {
         "Locationid": "350"
         }
       

Example - Creat a Project record

1. In the Configure connector task dialog, click Entities.
2. Select Project from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "newproject",
         "Projectcategory": "Contract"
         }
       

   If the integration is successful, the Company_Project task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 19.0,
         "Projectid": "1013"
         }
       

Example - Create an EmployeeEntityContacts record

1. In the Configure connector task dialog, click Entities.
2. Select EmployeeEntityContacts from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

        {
         "Categoryname": "Primary Contact2",
         "Employee_employeeid": "1002",
         "Contact_name": "Charlie, Mahan"
        }
       

   If the integration is successful, the Company_EmployeeEntityContacts task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 284.0
         }
       

Example - Create an EmployeeType record

1. In the Configure connector task dialog, click Entities.
2. Select EmployeeType from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Name": "New employee type 1 Google",
         "Status": "active"
         }
       

   If the integration is successful, the Company_EmployeeType task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 9.0,
         "Name": "New employee type 1 Google"
         }
       

Example - Create a GlBatch record

1. In the Configure connector task dialog, click Entities.
2. Select GlBatch from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Journal": "PYRJ",
         "Batch_date": "2019-03-31",
         "Batch_title": "Google description non legacy",
         "Itemaggregate": "<GLENTRY>
           <ACCOUNTNO>60400</ACCOUNTNO>
           <DEPARTMENT>100</DEPARTMENT>
           <LOCATION>100</LOCATION>
           <CURRENCY>USD</CURRENCY>
           <TR_TYPE>-1</TR_TYPE>
           <AMOUNT>1450.80</AMOUNT>
           <EXCH_RATE_TYPE_ID>Intacct Daily Rate</EXCH_RATE_TYPE_ID>
           <DESCRIPTION>Accrued salaries</DESCRIPTION>
           </GLENTRY>\n<GLENTRY>
           <ACCOUNTNO>40200</ACCOUNTNO>
           <DEPARTMENT>100</DEPARTMENT>
           <LOCATION>100</LOCATION>
           <TR_TYPE>1</TR_TYPE>
           <AMOUNT>1450.80</AMOUNT>
           <EXCH_RATE_TYPE_ID>Intacct Daily Rate</EXCH_RATE_TYPE_ID>
           <DESCRIPTION>Salary expense</DESCRIPTION>\n</GLENTRY>",
          "State": "Draft"
          }
       

   If the integration is successful, the GlBatch task's connectorOutputPayload response parameter will have a value similar to the following:

    
        {
         "Recordno": 3138.0
        }
       

Example - Create an AttachmentFolders record

1. In the Configure connector task dialog, click Entities.
2. Select AttachmentFolders from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

        {
         "name": "Google"
        } 
       

   If the integration is successful, the AttachmentFolders task's connectorOutputPayload response parameter will have a value similar to the following:

    
        {
         "Success": true
        }
       

Example - Create a Bankacctrecon record

1. In the Configure connector task dialog, click Entities.
2. Select Bankacctrecon from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Financialentity": "100_SVB",
         "Stmtendingdate": "2023-01-01",
         "Mode": "Automatch",
         "Stmtendingbalance": 1659605.22
         }
       

   If the integration is successful, the Bankacctrecon task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 3.0
         }
       

Example - Create a Podocument record

1. In the Configure connector task dialog, click Entities.
2. Select Podocument from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

       {
         "Docparid": "Purchase Requisition",
         "Whencreated": "2024-11-06",
         "Custvendid": "20034",
         "Contact_contactname": "New BGC(V20034)",
         "Billto_contactname": "New BGC(V20034)",
         "Itemaggregate": "<potransitem>
           <itemid>60400</itemid>
           <DEPARTMENT>I1</DEPARTMENT>
           <quantity>100</quantity>
           <unit>Each</unit>
           <price>1</price>
           <location>100</location>
           <departmentid>100</departmentid>
           </potransitem>"
       }
       

   If the integration is successful, the Podocument task's connectorOutputPayload response parameter will have a value similar to the following:

    
       {
         "Recordno": 3138.0
       }
       

Example - Create a VendorGroup record

1. In the Configure connector task dialog, click Entities.
2. Select VendorGroup from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

        {
         "Id": "AltostratTesting",
         "Name": "Googlecloud-vendor1",
         "Sortfield": "VENDORID",
         "Memberfilters": "<filter>
           <MEMBERFILTERS>
           <FIELD>VENDTYPE</FIELD>
           <OPERATOR>=</OPERATOR>
           <VALUE>Supplier</VALUE>
           </MEMBERFILTERS>
           <MEMBERFILTERS>
           <FIELD>VENDTYPE</FIELD>
           <OPERATOR>=</OPERATOR>
           <VALUE>Burnham</VALUE>
           </MEMBERFILTERS>
         </filter>"
        }
       

   If the integration is successful, the VendorGroup task's connectorOutputPayload response parameter will have a value similar to the following:

        {
         "Success": true
        }
       

Example - Create a Sodocument record

1. In the Configure connector task dialog, click Entities.
2. Select Sodocument from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

         {
         "Custvendid": "10001",
         "Itemaggregate": """<sotransitem>
       <bundlenumber></bundlenumber>
           <item_id>CSS1000</item_id>
           <quantity>1</quantity>
           <unit>Each</unit>
           <price>2</price>
           <locationid>100</locationid>
           <departmemtid>100</departmentid>
           </sotransitem>"",
         "Whencreated": "2024-09-14",
         "Docparid": "Sales Invoice"
       }
       

   If the integration is successful, the Sodocument task's connectorOutputPayload response parameter will have a value similar to the following:

         {
          "Docid": "Sales Invoice-IN0112"
         }
       

Example - Create an Arpymt record

1. In the Configure connector task dialog, click Entities.
2. Select Arpymt from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

       {
         "Financialentity": "100_SVB",
         "Paymentmethod": "Cash",
         "Customerid": "10303",
         "Receiptdate": "2025-05-05",
         "Itemaggregate": "<ARPYMTDETAIL>
       <RECORDKEY>1677</RECORDKEY>
           <TRX_PAYMENTAMOUNT>35</TRX_PAYMENTAMOUNT>
           </ARPYMTDETAIL>"
       }
       

   If the integration is successful, the Arpymt task's connectorOutputPayload response parameter will have a value similar to the following:

        {
         "Recordno": 3138.0
        }
       

Example - Create an Appymt record

1. In the Configure connector task dialog, click Entities.
2. Select Appymt from the Entity list.
3. Select the Create operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload as Local variable.

       {
         "Financialentity": "100_SVB",
         "Paymentmethod": "EFT",
         "Vendorid": "20003",
         "Whencreated": "2024-08-28",
         "Itemaggregate": ""<APPYMTDETAIL>
       <RECORDKEY>1677</RECORDKEY>
           <TRX_PAYMENTAMOUNT>35</TRX_PAYMENTAMOUNT>
           </APPYMTDETAIL>""
       }
       

   If the integration is successful, the Appymt task's connectorOutputPayload response parameter will have a value similar to the following:

         {
         "Recordno": 1753.0
         }
       

Example - Update a Vendor record

1. In the Configure connector task dialog, click Entities.
2. Select Vendor from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

        {
         "Name": "Altostrat,Lisbon"
        }
       

5. Set the entity ID in Data Mapper to the entity of the Vendor. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 20044.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

    
        {
         "Vendorid": "20044"
        }
       

Example - Update an APBill record

1. In the Configure connector task dialog, click Entities.
2. Select APBill from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

        {
         "Whendue": "2024-12-12"
        }
       

5. Set the entity ID in Data Mapper to the entity of the APBill. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 1371.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 12.0
         }
       

Example - Update a Customer record

1. In the Configure connector task dialog, click Entities.
2. Select Customer from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Name": "Altostrat",
         "Status": "inactive"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Customer. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Customerid='10100'\n.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 21.0,
         "Customerid": "10100"
         }
       

Example - Update a CustType record

1. In the Configure connector task dialog, click Entities.
2. Select CustType from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Status": "inactive"
         }
       

5. Set the entity ID in Data Mapper to the entity of the CustType. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to MGR PVT.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Name": "MGR PVT"
         }
       

Example - Update a ReportingPeriod record

1. In the Configure connector task dialog, click Entities.
2. Select ReportingPeriod from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Start_date": "2024-06-14",
         "End_date": "2024-06-14",
         "Header1": "Reporting Time Changed"
         }
       

5. Set the entity ID in Data Mapper to the entity of the ReportingPeriod. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 257.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 257.0
         } 
       

Example - Update a GLAcctGrp record

1. In the Configure connector task dialog, click Entities.
2. Select GLAcctGrp from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Title": "Google updated title"
         }
       

5. Set the entity ID in Data Mapper to the entity of the GLAcctGrp. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Name='AccountGrp13'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 484.0
         }
       

Example - Update a Purchasing_Item record

1. In the Configure connector task dialog, click Entities.
2. Select Purchasing_Item from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

    
         {
         "Sodescription": "Google updated description",
         "Name": "Google updated name"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Purchasing_Item. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 89899.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Itemid": "89899"
         }
       

Example - Update an OrderEntity_Item record

1. In the Configure connector task dialog, click Entities.
2. Select OrderEntity_Item from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Name": "Item Update"
         }
       

5. Set the entity ID in Data Mapper to the entity of the OrderEntity_Item. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Recordno= '73' and Itemid= 'C32'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Itemid": "C32"
         }
       

Example - Update a POPriceList record

1. In the Configure connector task dialog, click Entities.
2. Select POPriceList from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Status": "active"
         }
       

5. Set the entity ID in Data Mapper to the entity of the POPriceList. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Recordno='18'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 18.0,
         "Name": "Special Purchasing price list"
         } 
       

Example - Update a sodocument record

1. In the Configure connector task dialog, click Entities.
2. Select sodocument from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Description": "Google_Update SO Document"
         }
       

5. Set the entity ID in Data Mapper to the entity of the sodocument . To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 189.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": "189"
         }
       

Example - Update a Checkingaccount record

1. In the Configure connector task dialog, click Entities.
2. Select Checkingaccount from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

    
         {
         "Bankname": "Google updated bank name"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Checkingaccount. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 100_SVBDF.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

        {
         "Bankaccountid": "100_SVBDF"
        }
       

Example - Update a SOPriceList record

1. In the Configure connector task dialog, click Entities.
2. Select SOPriceList from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Datefrom": "2022-01-01",
         "Dateto": "2026-01-01"
         }
       

5. Set the entity ID in Data Mapper to the entity of the SOPriceList. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to RecordNo='27'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 1.0,
         "Name": "Base Price List"
         }
       

Example - Update a Project record

1. In the Configure connector task dialog, click Entities.
2. Select Project from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Description": "Google updated description"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Project. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 1010.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Projectid": "1010"
         }
       

Example - Update an EmployeeType record

1. In the Configure connector task dialog, click Entities.
2. Select EmployeeType from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Status": "inactive"
         }
       

5. Set the entity ID in Data Mapper to the entity of the EmployeeType. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Name='New employee type 1 Google'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 9.0,
         "Name": "New employee type 1 Google"
         }
       

Example - Update an EmployeeEntityContacts record

1. In the Configure connector task dialog, click Entities.
2. Select EmployeeEntityContacts from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Categoryname": "updated contact"
         }
       

5. Set the entity ID in Data Mapper to the entity of the EmployeeEntityContacts. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 5.0.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 5.0
         }
       

Example - Update an Employee record

1. In the Configure connector task dialog, click Entities.
2. Select Employee from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Title": "Google Updated title"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Employee. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to 1024.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Employeeid": "1024"
         }
       

Example - Update a UserInfo record

1. In the Configure connector task dialog, click Entities.
2. Select UserInfo from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Usertype": "business user"
         }
       

5. Set the entity ID in Data Mapper to the entity of the UserInfo. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to RecordNo='41'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Loginid": "jsmithf"
         }
       

Example - Update a Contact record

1. In the Configure connector task dialog, click Entities.
2. Select Contact from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Printas": "AT"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Contact. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Recordno= '33533'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Recordno": 33533.0,
         "Contactname": "Alex taylor's g"
         }
       

Example - Update a vendType record

1. In the Configure connector task dialog, click Entities.
2. Select vendType from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Name": "Google updated name pv"
         }
       

5. Set the entity ID in Data Mapper to the entity of the vendType. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Name= 'Google Created vendtype'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Name": "Google Created vendtype"
         }
       

Example - Update a customer record

1. In the Configure connector task dialog, click Entities.
2. Select customer from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Status": "inactive"
         }
       

5. Set the entity ID in Data Mapper to the entity of the customer. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Recordno= '10001'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Customerid": "10001"
         }
       

Example - Update a StatAccount record

1. In the Configure connector task dialog, click Entities.
2. Select StatAccount from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Title": "Google_Update_Stat1111111"
         }
       

5. Set the entity ID in Data Mapper to the entity of the StatAccount. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Accountno= 'EPFOA'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Accountno": "EPFOA"
         }
       

Example - Update a GlAccount record

1. In the Configure connector task dialog, click Entities.
2. Select GlAccount from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Title": "Google_GLaccount_Update2"
         }
       

5. Set the entity ID in Data Mapper to the entity of the GlAccount. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Accountno= '10010'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

        {
         "Accountno": "10010"
        }
       

Example - Update a PoPriceList record

1. In the Configure connector task dialog, click Entities.
2. Select PoPriceList from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

        {
         "Status": "inactive"
        }
       

5. Set the entity ID in Data Mapper to the entity of the PoPriceList. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Name= 'Google price lists'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Name": "Google price lists"
         }
       

Example - Update an Allocation record

1. In the Configure connector task dialog, click Entities.
2. Select Allocation from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

        {
         "Description": "Google updated"
        }
       

5. Set the entity ID in Data Mapper to the entity of the Allocation. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Allocationid= 'ExpenseSwap'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

        {
         "Allocationid": "ExpenseSwap"
        }
       

Example - Update a SavingsAccount record

1. In the Configure connector task dialog, click Entities.
2. Select SavingsAccount from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

        {
         "Phone": "(800) 555‑0100"
        }
       

5. Set the entity ID in Data Mapper to the entity of the SavingsAccount. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to Allocationid= 'ExpenseSwap'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
         "Bankaccountid": "SBB"
         }
       

Example - Update a Podocument record

1. In the Configure connector task dialog, click Entities.
2. Select Podocument from the Entity list.
3. Select the Update operation, and then click Done.
4. In the Data Mapper section of the Data Mapping task, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

         {
         "Message": "updated"
         }
       

5. Set the entity ID in Data Mapper to the entity of the Podocument. To set the entity ID, click Open Data Mapping Editor and then enter a value similar to the following in the Input Value field and choose the EntityId/ConnectorInputPayload/FilterClause as Local variable.

   Instead of specifying the entityId, you can also set the filterClause to docid= 'Blanket PO-PO0041'.

   Running this example, returns a response similar to the following in the Connector task's connectorOutputPayload output variable:

         {
   
         }