openapi: 3.0.0 info: title: Clari API Reference Activity API Bulk Ingest Job Status API API version: 5.0.0 description: "# Clari API Reference\nClari is the heartbeat of your revenue organization and holds your most important revenue data. Clari APIs enable customers to retrieve revenue data out of the Clari platform and push missing revenue-critical data into the platform.\n\n## Authentication\n\nClari APIs use tokens to authenticate requests. You can create and manage your tokens in Account Settings under \"API Token\". Please reach out to your CSM if you don't see a token generation tool as you may not have been given access.\n### Creating an authentication token\nFollow the steps below to generate a token:\n- Go to user avatar\n- Navigate to Settings\n- Navigate to the API Token tab and click \"Generate New API Token\"\n- Enter a Token Name and click \"Generate New Token\". Few things to note about tokens:\n - After generating a token, make sure to keep it in a secure location as you won't be able to access it again. This is your key to accessing Clari data for your organization.\n - If you revoke a token, any active integration that is using that token will break.\n - When deactivating a user, any tokens created by the user will be revoked (and thus break any active integration).\n\n## Bulk data exports\n\nClari supports bulk data exports. Bulk exports run asynchronously in a\nthree step process. First, the bulk export is requested using a `POST` API call.\nMultiple products support bulk exports. In the documentation below, the `POST` API\nis described in respective product sections. The `POST` API call queues the bulk export job to run it asynchronously, and returns\na job ID. To monitor the export's status and be notified of its completion, you\nshould poll status via the API periodically. When the export completes, the status\nwill be set to `DONE` and you can then retrieve the output of the export.\n\n## Bulk data imports\n\nClari also supports bulk data imports. Customers or partners can import their Account\nor Opportunity fields in bulk to create a complete picture of revenue in Clari. Bulk imports also run\nasynchronously in a three step process. In the documentation below, the `/bulk` API is described\nin respective product sections. The `/bulk` API call queues the bulk import job to run it asynchronously, and returns\na job ID. To monitor the import's status and be notified of its completion, you\nshould poll status via the API periodically. When the import completes, the status\nwill be set to `DONE`. If records fail validation, the entire batch is rejected and has to be retried\nafter fixing the errors. The errors can be retrieved from the results API.\n\n\n## Forecasting APIs\n\nRevenue teams use Clari Forecasting to track their attainment to date\nagainst goals and forecast their revenue numbers for the month, quarter and\nyear. This data is captured by revenue leaders, managers, and sales reps --\nit provides a clear view of the entire team's forecast and their submission\nstatus.\n\nClari's Forecasting APIs enable you to pull your forecasting data out of Clari, merge\nit with data sitting in your own data warehouse, and build custom reports. Forecasting\nsupports both a REST API as well as a bulk export API.\n\n### Creating and accessing Forecast exports\n\n\n You can export any Forecast Tab with our Forecasting APIs. To do so, retrieve the `forecastId` from the URL when viewing a Forecast Tab and provide the ID when using the Export API. If you don't already have a Forecast Tab configured for the data you're trying to export, please work with your CSM to get that configured first.\n\n \"forecast\n\n\nFor details on Forecast Tabs and what data is available with Forecast Exports see guides below:\n\n- [Forecasting Building Blocks](https://clari.my.site.com/customer/s/article/Forecast-Building-Blocks)\n- [How to Read the Forecast Export](https://clari.my.site.com/customer/s/article/How-to-Read-the-Forecast-Export)\n- [How to Read the Export API Output](https://clari.my.site.com/customer/s/article/How-to-Read-Claris-Export-API-Output)\n\n\n## Audit APIs\n\nThe Audit API allows its users to audit events happening in their Clari instances. Call the Audit API to understand who is making changes in your Clari instance and when these changes happened.\n\n## Data Ingestion API\n\nThis API is for Clari's integration partners - such as technology platforms or revenue tools, looking to build a direct data integration with Clari. It enables partners to send data that can be surfaced in Clari's Accounts and Opportunities views for mutual customers who have turned on the integration.\n\n## Activity API\n\nActivity Export API allows its users to pull sales activity data like emails, meetings and files.\nWith this powerful sales activity data available on demand through an API call, customers can create powerful custom reports in the reporting tool of their choice and analyze Accounts and Opportunity engagement across different activity types.\n\n## Questions?\n" contact: name: us here! We're always happy to help with any questions. email: support@clari.com servers: - url: https://api.clari.com/{basePath} description: Clari gateway variables: basePath: default: v4 description: version identifier security: - api_key: [] tags: - name: Bulk Ingest Job Status API paths: /ingest/job/{jobId}: get: summary: Check the data upload status description: "Upon receiving a response from the asynchronous ingest bulk upload API, make use of the provided 'jobId' to check the status \nand result of the upload job.\n\nBASE URL: `https://api.clari.com/v2`\n\nEXAMPLE: `https://api.clari.com/v2/ingest/bulk/entity/account`\n" operationId: ingestJobStatus tags: - Bulk Ingest Job Status API parameters: - name: apikey in: header description: Authentication token required: true schema: type: string - name: partnerkey in: header description: Partner key required: true schema: type: string example: account - name: jobId in: path description: the job identifier of the asynchronous upload request required: true schema: type: string example: 1231244212322 responses: '200': description: Ingestion job success response content: application/json: schema: type: object description: Response containing job details wrapped in a message field properties: message: type: object description: Details of an async ingestion job. properties: jobId: description: Unique identifier of the job type: string module: description: Module name type: string submittedTime: description: Time when the job was submitted in milliseconds type: number startTime: description: Time when the job started in milliseconds type: number endTime: description: Time when the job ended in milliseconds type: number title: description: Title of the service type: string fileName: description: Name of the file type: string status: description: Status of the job type: string enum: - SUCCESS - IN_PROGRESS - FAILED - QUEUED - VALIDATION_FAILED message: description: Message of the job type: string example: message: jobId: 64eef062b1a00d40e5f0bac5 orgId: 1234 userId: 12345 module: DATA_INGESTION submittedTime: 1231244212310 startTime: 1231244212322 endTime: 1231244212340 title: Data Ingestion fileName: file.json status: SUCCESS message: Ingestion successfully completed. '202': description: Data is either in progress or in queue content: application/json: schema: $ref: '#/paths/~1ingest~1job~1%7BjobId%7D/get/responses/200/content/application~1json/schema' example: message: jobId: 64eef062b1a00d40e5f0bac5 orgId: 1234 userId: 12345 module: DATA_INGESTION submittedTime: 1231244212310 startTime: 1231244212322 endTime: null title: Data Ingestion fileName: file.json status: IN_PROGRESS message: Bulk ingestion job is in progress '400': description: Ingestion job validation errors content: application/json: schema: $ref: '#/paths/~1ingest~1job~1%7BjobId%7D/get/responses/200/content/application~1json/schema' example: message: jobId: 64eef062b1a00d40e5f0bac5 orgId: 1234 userId: 12345 module: DATA_INGESTION submittedTime: 1231244212310 startTime: 1231244212322 endTime: 1231244212340 title: Data Ingestion fileName: file.json status: VALIDATION_ERROR message: - errorCode: INVALID_INPUT_FORMAT errorSummary: 'Failed validation for data at path: /email 12345 is not of type ''string''' - errorCode: INVALID_INPUT_FORMAT errorSummary: 'Failed validation for data at path: /quantity Value -5 is less than or equal to the minimum of 0''' - errorCode: INVALID_INPUT_FORMAT errorSummary: 'Failed validation for data at path: / updatedAt should be greater than or equal to createdAt''' - errorCode: INVALID_INPUT_FORMAT errorSummary: Payload is not an array - errorCode: INVALID_INPUT_FORMAT errorSummary: sourceEntity is missing dataSet - errorCode: INVALID_INPUT_FORMAT errorSummary: records is missing for dataSet - errorCode: INVALID_INPUT_FORMAT errorSummary: No entries have valid accountId for the domains - errorCode: INVALID_INPUT_FORMAT errorSummary: Primary key field is missing - errorCode: INVALID_INPUT_FORMAT errorSummary: Field is missing - errorCode: INVALID_INPUT_FORMAT errorSummary: Duplicate record with value for primary key field - errorCode: INVALID_INPUT_FORMAT errorSummary: Duplicate record with value for primary key field - errorCode: INVALID_INPUT_FORMAT errorSummary: Field value is not a valid date - errorCode: INVALID_INPUT_FORMAT errorSummary: Field type does not match expected type - errorCode: INVALID_INPUT_FORMAT errorSummary: Field length exceeds max length of '401': description: Invalid authentication token content: application/json: schema: type: object properties: error: type: string example: Invalid authentication credentials '404': description: Not Found content: application/json: schema: type: object properties: error: type: string example: Bulk ingestion job not found. Please provide correct jobId. '429': description: API rate limit has been exceeded. The api limit is 100 requests per second per api token content: application/json: schema: type: object properties: error: type: string example: API rate limit exceeded '500': description: Ingestion job internal Error content: application/json: schema: $ref: '#/paths/~1ingest~1job~1%7BjobId%7D/get/responses/200/content/application~1json/schema' example: message: jobId: 64eef062b1a00d40e5f0bac5 orgId: 1234 userId: 12345 module: DATA_INGESTION submittedTime: 1231244212310 startTime: 1231244212322 endTime: 1231244212340 title: Data Ingestion fileName: file.json status: FAILED message: Bulk ingestion job failed. Please retry ingestion. components: securitySchemes: api_key: type: apiKey name: apikey in: header