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Sprinklr Integration Guide

Connect Sprinklr customer experience data with enterprise applications through REST APIs, selected webhook events, OAuth 2.0 authentication, and Martini workflows.

Sprinklr integration options at a glance

Sprinklr primarily integrates with enterprise systems through REST APIs covering customer service, social engagement, marketing, advertising, and related interaction data. Selected Sprinklr products and events also support webhook-style callbacks, although coverage varies by object and product area. API access generally uses OAuth 2.0 credentials and bearer access tokens, with tenant-specific permissions and scopes requiring confirmation. Bulk or asynchronous operations and file, attachment, or asset APIs may be available for particular API families but should be verified before implementation. Martini can consume Sprinklr APIs, receive supported callbacks, schedule incremental synchronization, transform JSON payloads, apply business rules, and deliver results to downstream systems.

Integration pointSupported by Sprinklr?Common use casesHow Martini supports it
REST APIsYesRetrieve, create, or update Sprinklr Cases, Contacts, Accounts, Conversations, Messages, and campaign or engagement data, subject to product-specific API availability.Martini can consume Sprinklr REST endpoints, pass bearer tokens, map JSON requests and responses, apply business rules, and expose APIs for downstream consumers.
Webhooks and outbound callbacksLimitedReceive notifications for selected Sprinklr events and product areas. Coverage should not be assumed for every object or state transition.Martini can expose an API endpoint or workflow trigger, validate the callback, deduplicate notifications, transform the payload, and route it to target systems.
OAuth 2.0 authenticationYesAuthenticate API clients using tenant-specific client credentials, access tokens, scopes, and resource permissions.Martini can keep client secrets and configuration in secure environment settings, obtain or use bearer tokens, and centralize authentication failure handling.
Bulk, asynchronous, and batch processingNot confirmedSome Sprinklr API families may provide asynchronous jobs, exports, or batch operations, but availability must be confirmed for the selected resource.Where the selected API supports jobs, Martini can submit work, poll status, retrieve results, and process downstream records.
File, attachment, and asset APIsLimitedService and engagement workflows may involve media, attachments, or campaign assets, with availability varying by product area and endpoint.Martini can orchestrate documented upload or download operations and transform metadata, while treating the specific file API as a design-time dependency.
Scheduled synchronizationYesPoll Sprinklr REST resources when an event is unavailable, using documented incremental filters, cursors, or modified-time criteria where supported.Martini can schedule workflows, preserve synchronization checkpoints, page through results, and reconcile missed or changed objects.
Database and analytics accessNot confirmedDirect access to Sprinklr operational databases is not confirmed; reporting data should come through documented APIs, exports, or approved delivery mechanisms.Martini can consume approved API or export outputs and write transformed data to supported databases or downstream data services.

How Sprinklr exposes data and business events

Sprinklr REST APIs

REST is Sprinklr's primary confirmed integration mechanism. Depending on the product area and API version, REST resources can expose Cases, Contacts, Accounts, Conversations, Messages, Campaigns, and related service or engagement data. Exact resources, permissions, pagination, and filters must be confirmed in the Sprinklr developer portal.

Martini implementation pattern

Martini implementation pattern: a workflow authenticates with the configured Sprinklr OAuth 2.0 credentials, calls the required REST resource, handles pagination or incremental filters, maps the JSON payload, applies business rules, and writes to or reads from the target system.

Implementation sequence

Authenticate with the configured Sprinklr OAuth 2.0 credentials
Call the selected Sprinklr REST resource
Retrieve all required pages or incremental changes
Validate and normalize the JSON response
Apply routing, matching, and business rules
Write the result to the target system and store synchronization state

Sprinklr Webhooks and Events

Sprinklr provides webhook-style or event-based capabilities for selected events and product areas. These notifications are not a universal stream for every Case, Contact, Account, Message, Campaign, or state transition, so the required subscription and delivery behavior must be verified.

Martini implementation pattern

Martini implementation pattern: expose a protected API endpoint, validate the incoming callback according to the selected Sprinklr mechanism, acknowledge promptly, deduplicate the event, and invoke an asynchronous workflow for enrichment and downstream processing.

Implementation sequence

Receive the Sprinklr callback at a protected Martini API endpoint
Validate the request and capture a correlation identifier
Check the event or source-object key for duplicates
Retrieve the current Sprinklr resource when the callback is only a notification
Map the event to the target application model
Acknowledge the callback and process downstream work asynchronously

Sprinklr Scheduled Synchronization

Scheduled polling is an alternative when the required Sprinklr event is unavailable or when periodic reconciliation is needed. The selected API must be checked for modified-time filters, cursors, page tokens, or other incremental retrieval mechanisms.

Martini implementation pattern

Martini implementation pattern: a scheduled workflow reads its persisted checkpoint, calls Sprinklr REST endpoints in controlled pages, transforms changed objects, performs idempotent target writes, and advances the checkpoint only after successful processing.

Implementation sequence

Start the scheduled Martini workflow
Load the last successful synchronization checkpoint
Request changed Sprinklr objects using documented filters
Process each page and preserve its continuation value
Upsert target records using stable Sprinklr identifiers
Commit the checkpoint and record reconciliation results

Sprinklr OAuth 2.0 Authentication

Sprinklr API access generally uses token-based authentication involving OAuth 2.0 client credentials, bearer access tokens, tenant configuration, and resource-specific permissions. Exact grant types, scopes, token endpoints, and lifetimes vary by API product.

Martini implementation pattern

Martini implementation pattern: store client credentials and tenant configuration securely, obtain or refresh access tokens as required, inject bearer authentication into API calls, and route authentication or authorization failures separately from retryable transport errors.

Implementation sequence

Configure the Sprinklr tenant and API client details
Store client secrets in secure Martini environment configuration
Obtain an access token using the confirmed Sprinklr grant
Call Sprinklr resources with the bearer token
Refresh or reacquire credentials when the token expires
Log authentication failures without exposing secrets

Common Sprinklr integration patterns

Pattern 1: Synchronize Sprinklr Cases with Salesforce

When to use this pattern

Use this pattern when customer service teams need Sprinklr Cases and customer context available in Salesforce, with selected Salesforce status changes returned to Sprinklr. Event coverage may be used where available, while scheduled polling provides reconciliation for unsupported events.

Integration direction
Sprinklr
Martini
Salesforce
Example Mapping
Sprinklr FieldCanonical FieldTarget Field
Case.idsourceCaseIdExternal_Case_ID__c
Case.subjectcaseSubjectSubject
Case.statusserviceStatusStatus
Contact.idsourceContactIdContact.External_Contact_ID__c
Martini implementation pattern

Martini receives a supported callback or polls changed Cases, retrieves related Contacts or Accounts when needed, matches existing Salesforce data, and creates or updates Salesforce Cases. Validation, severity routing, identifier persistence, retry handling, and duplicate protection are included before any status is sent back to Sprinklr.

Martini capabilities used
  • workflows
  • API consumption
  • OAuth 2.0 configuration
  • data mapping
  • business rules
  • error handling
  • scheduled synchronization

Pattern 2: Route Sprinklr Cases to ServiceNow

When to use this pattern

Use this pattern when Sprinklr customer issues require operational, technical, or fulfillment work in ServiceNow. The flow can create Incidents or Requests and return selected lifecycle changes to Sprinklr without assuming a native vendor integration.

Integration direction
Sprinklr
Martini
ServiceNow
Example Mapping
Sprinklr FieldCanonical FieldTarget Field
Case.idsprinklrCaseIdu_sprinklr_case_id
Case.priorityprioritypriority
Case.descriptionissueDescriptiondescription
Case.statussourceStatusstate
Martini implementation pattern

Martini consumes supported Sprinklr events or paginated REST results, applies category and priority routing, creates the appropriate ServiceNow record, and stores both identifiers. Retryable API failures are retried with backoff, while validation or authorization failures are recorded for review and reprocessing.

Martini capabilities used
  • webhook reception
  • workflow orchestration
  • data mapping
  • conditional routing
  • API consumption
  • idempotency
  • error handling

Pattern 3: Create Jira Issues from Escalated Sprinklr Messages

When to use this pattern

Use this pattern when customer Messages or Cases indicate a product defect, recurring issue, or engineering escalation. The workflow should use explicit business rules rather than treating every interaction as an engineering work item.

Integration direction
Sprinklr
Martini
Jira
Example Mapping
Sprinklr FieldCanonical FieldTarget Field
Message.idsourceMessageIdExternal reference
Message.textinteractionSummaryDescription
Case.categoryissueCategoryIssue type
Case.priorityseverityPriority
Martini implementation pattern

Martini filters selected Sprinklr Messages or Cases by category, severity, or escalation state, enriches the payload with related identifiers, creates a Jira Issue, and records the Jira key in an integration state store. Duplicate source events are ignored and failed transformations are routed to a reprocessing path.

Martini capabilities used
  • event processing
  • JSON transformation
  • business rules
  • data enrichment
  • API consumption
  • deduplication
  • reprocessing

Pattern 4: Load Sprinklr Service and Campaign Data into Snowflake

When to use this pattern

Use this pattern for operational reporting and analytics across Cases, Conversations, Messages, Accounts, and Campaigns. It is appropriate when direct Sprinklr database access is unavailable and documented APIs or exports are the approved source.

Integration direction
Sprinklr
Martini
Snowflake
Example Mapping
Sprinklr FieldCanonical FieldTarget Field
Case.idsprinklr_case_idCASE_ID
Conversation.createdTimeconversation_created_atCREATED_AT
Message.channelinteraction_channelCHANNEL
Campaign.namecampaign_nameCAMPAIGN_NAME
Martini implementation pattern

A scheduled Martini workflow reads a persisted checkpoint, retrieves pages of changed objects, normalizes product-specific JSON, removes or masks fields not required for analytics, and performs deterministic upserts. The workflow records source identifiers, response context, and failed pages for reconciliation.

Martini capabilities used
  • scheduler trigger
  • API consumption
  • pagination orchestration
  • mapping and transformation
  • data minimization
  • database or data-service integration
  • monitoring

Applications commonly integrated with Sprinklr

Sprinklr data can be coordinated with customer service, engineering, collaboration, finance, and analytics applications. The exact resources, permissions, and direction depend on the Sprinklr product area and the target application's APIs.

Application Scenario Direction Martini Pattern
Salesforce Synchronize Sprinklr customer profiles, service Cases, account context, and interaction details with Salesforce service operations. Sprinklr → Martini → Salesforce Martini can receive supported Sprinklr events or poll REST resources, match Contacts and Accounts, map Cases into Salesforce, retain cross-system identifiers, and return selected Salesforce status changes to Sprinklr.
ServiceNow Escalate Sprinklr customer issues into ServiceNow operational workflows and return resolution or status information. Sprinklr → Martini → ServiceNow A Martini workflow can receive or retrieve Sprinklr Cases, apply routing rules, create ServiceNow Incidents or Requests, store correlation identifiers, and synchronize status updates with retry and duplicate protection.
Jira Convert escalated customer issues, product defects, or recurring interaction themes into Jira work items. Sprinklr → Martini → Jira Martini can filter Sprinklr Cases or Messages, enrich them with business context, create Jira Issues, and persist the Jira key for subsequent reconciliation or status updates.
Zendesk Coordinate customer support records and interaction history during service-platform migrations or multi-system operations. Sprinklr → Martini → Zendesk Martini can retrieve selected Sprinklr Cases and Contacts, normalize fields to Zendesk objects, apply matching rules, and perform idempotent creates or updates without assuming a native Sprinklr-to-Zendesk feature.
Slack Notify service, marketing, or escalation teams about selected Sprinklr Cases, Messages, or event conditions. Sprinklr → Martini → Slack A Martini workflow can receive a supported callback or scheduled result, evaluate severity and routing rules, format a concise notification, and send it to the appropriate Slack destination.
Microsoft Teams Deliver operational notifications and escalation messages to internal teams handling Sprinklr customer interactions. Sprinklr → Martini → Microsoft Teams Martini can transform Sprinklr event or polling payloads into Teams messages, suppress duplicates, route by account or severity, and retain processing logs for investigation.
NetSuite Associate Sprinklr customer or account activity with selected commercial and financial processes. Sprinklr → Martini → NetSuite Martini can map approved Sprinklr Accounts or Contacts into NetSuite customer-related data, apply field and ownership rules, and use scheduled reconciliation for changes not delivered through events.
Snowflake Load Sprinklr service, interaction, campaign, and engagement data for analytics and reporting. Sprinklr → Martini → Snowflake A scheduled Martini workflow can page through changed Sprinklr objects, normalize product-specific JSON, apply deterministic upsert logic, and write the result to Snowflake through an approved data-loading interface.

How to build a Sprinklr integration in Martini

Objective

Establish Sprinklr access using the tenant-specific OAuth 2.0 configuration and permissions required by the selected product APIs.

Instructions in Martini

  • Configure the Sprinklr tenant, client ID, client secret, scopes, and confirmed token settings.
  • Store secrets and environment-specific values in Martini secure configuration.
  • Verify that the API client can access every required resource and operation.

Objective

Select the event-driven or scheduled entry point that matches Sprinklr's confirmed capabilities for the required object and state change.

Instructions in Martini

  • Use a protected Martini API endpoint for supported Sprinklr callbacks.
  • Use a scheduler when the required event is unavailable or reconciliation is required.
  • Define the event, polling interval, and checkpoint strategy explicitly.

Objective

Receive the callback payload or retrieve the current Sprinklr resource through REST APIs so the workflow operates on authoritative data.

Instructions in Martini

  • Validate inbound callback structure and capture correlation information.
  • Call Sprinklr REST resources when a notification lacks the complete object.
  • Handle pagination, continuation tokens, and incremental filters as documented for the selected API.

Objective

Coordinate enrichment, matching, routing, and downstream processing in a maintainable Martini workflow.

Instructions in Martini

  • Retrieve related Contacts, Accounts, Conversations, or Messages when required.
  • Separate transient transport failures from validation, authorization, and business errors.
  • Persist source identifiers and synchronization checkpoints outside the transient payload.

Objective

Convert Sprinklr product-specific JSON into a canonical model and the target application's schema.

Instructions in Martini

  • Normalize nested fields, enumerations, timestamps, and custom fields.
  • Apply data-minimization rules to customer and interaction content.
  • Preserve source IDs and relevant version or event keys for reconciliation.

Objective

Use business rules to determine routing, enrichment, escalation, and whether a downstream write is permitted.

Instructions in Martini

  • Route Cases by severity, category, account, or operational ownership.
  • Filter Messages or Conversations before creating engineering or notification records.
  • Validate mandatory fields and reject unsupported values before target submission.

Common Sprinklr data objects used in integrations

ObjectTypical UseCommon target systemsMartini handling
CasesCustomer service work items representing issues, requests, escalations, and service interactions.Salesforce, ServiceNow, Jira, Zendesk, data warehousesMartini can retrieve or receive supported Case notifications, validate and normalize fields, apply routing rules, upsert target records, and retain source and target identifiers.
ContactsCustomer or constituent profiles associated with conversations, Cases, and other interactions.Salesforce, Zendesk, NetSuite, data warehousesMartini can match Contacts using configured identifiers, map profile fields, apply data-minimization rules, and synchronize changes through REST workflows.
AccountsOrganizations, brands, or customer accounts associated with service and engagement data.Salesforce, NetSuite, Snowflake, relational databasesMartini can reconcile Accounts across systems, transform tenant-specific fields, enforce ownership or status rules, and perform idempotent upserts.
ConversationsCustomer interaction threads handled through Sprinklr service channels.Salesforce, Zendesk, Snowflake, analytics platformsMartini can retrieve conversation data, normalize nested interaction structures, filter sensitive content, and load approved fields into operational or analytical targets.
MessagesIndividual inbound or outbound customer communications, social messages, or interaction events.Jira, Slack, Microsoft Teams, Snowflake, service platformsMartini can classify Messages, apply escalation and notification rules, transform content and metadata, and route results while avoiding duplicate downstream actions.
CampaignsMarketing, social, or advertising initiatives used to organize content and execution activity.Snowflake, reporting platforms, relational databasesMartini can retrieve documented Campaign resources, map product-specific fields, apply incremental loading rules, and write normalized data to approved analytics targets.

Authentication and security considerations

OAuth 2.0 and bearer tokens

Sprinklr API access generally uses OAuth 2.0-style credentials and bearer access tokens. The exact grant, token endpoint, scopes, lifetime, and permissions must be confirmed for the selected Sprinklr API product.

Secure configuration

Store client IDs, client secrets, tokens, tenant settings, and target credentials in Martini environment configuration or secrets management rather than workflow mappings or source code.

Permissions and callback protection

  • Grant API clients only the resource permissions required by the workflow.
  • Validate Sprinklr callbacks using the verification method documented for the selected event mechanism.
  • Protect exposed Martini endpoints with appropriate authentication and authorization.
  • Do not include bearer tokens or unnecessary customer content in logs and error payloads.

Operational considerations for Sprinklr integrations

Throughput and pagination

Confirm Sprinklr tenant-specific rate and concurrency limits. Use controlled batching, documented pagination, bounded parallelism, and backoff for throttling or transient failures.

Incremental synchronization

Prefer documented modified-time filters, cursors, event subscriptions, or change mechanisms. Persist checkpoints outside transient workflow data and use stable Sprinklr identifiers for upserts.

Idempotency and retries

Webhook deliveries may be duplicated or retried. Store event or source-object keys, make target writes idempotent, and separate retryable transport errors from validation, authorization, and business-rule failures.

Schema variation and testing

Sprinklr schemas can differ by product area, API version, tenant configuration, custom fields, and channel. Test mappings with representative data and monitor schema changes before production rollout.

Observability

Capture HTTP status codes, Sprinklr error identifiers, correlation IDs, source IDs, target IDs, and processing outcomes. Provide a dead-letter or reprocessing path for records that cannot be transformed or delivered.

Why use Martini instead of scripts or point-to-point integrations?

Centralized integration logic

Martini centralizes Sprinklr authentication, API calls, callback handling, transformations, routing rules, retries, and reconciliation instead of scattering logic across scripts or point-to-point integrations.

Event and polling flexibility

Workflows can combine selected Sprinklr callbacks with scheduled REST polling when event coverage is incomplete, providing a practical path for both near-real-time processing and reconciliation.

Reusable data transformation

Martini provides reusable workflows, mappings, validation, and business rules for converting product-specific Sprinklr payloads into Salesforce, ServiceNow, Jira, warehouse, or other target models.

Maintainability and operations

Centralized configuration, structured error handling, monitoring, and controlled deployment make it easier to operate the integration as Sprinklr APIs, tenant schemas, and downstream requirements change.

Frequently asked questions

How can Sprinklr be integrated with enterprise systems?

Sprinklr can be integrated primarily through its REST APIs, which expose product-specific resources such as Cases, Contacts, Accounts, Conversations, Messages, and Campaigns. Selected Sprinklr products and events also support webhook-style callbacks. API access generally uses OAuth 2.0 and bearer tokens, while scheduled polling can support reconciliation when the required event is unavailable.

Can Martini integrate with Sprinklr?

Yes. Martini can consume Sprinklr REST APIs, receive supported Sprinklr webhook or event callbacks, schedule incremental synchronization, transform JSON payloads, apply business rules, and deliver data to applications, databases, or approved data services. The exact Sprinklr resources and event coverage must be confirmed for the relevant product API.

Do I need a connector to integrate Sprinklr with Martini?

No. A dedicated Sprinklr connector is not required. Martini can integrate using Sprinklr's confirmed native mechanisms, including REST APIs, OAuth 2.0 authentication, selected webhook or event callbacks, and scheduled API retrieval. No native Martini Sprinklr connector is documented in the supplied product context.

Is there any extra Lonti cost to integrate Sprinklr with Martini?

Lonti does not charge an additional per-connector or per-vendor fee to integrate Sprinklr. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Sprinklr, cloud infrastructure, or other third-party systems depending on subscription, usage, and deployment model.

Which Sprinklr integration methods should an enterprise use?

REST APIs are the primary confirmed method for new Sprinklr integrations. Use webhook-style notifications for supported events when timely delivery is required, and scheduled REST synchronization for reconciliation or event gaps. Bulk, asynchronous, file, attachment, and asset capabilities must be verified for the selected Sprinklr product and API.

Can Martini receive Sprinklr events or webhooks?

Yes, Martini can expose a protected API endpoint or workflow trigger to receive Sprinklr callbacks. Sprinklr webhook coverage is selected-event and product-dependent, not universal across all objects or state transitions. The implementation should verify the event subscription, security mechanism, delivery behavior, and retry expectations.

How does synchronization with Sprinklr handle mapping and duplicates?

Martini can map Sprinklr JSON into canonical and target-system models, apply validation and business rules, and preserve stable Sprinklr identifiers. Workflows should use event IDs, source-object IDs, or comparable keys for deduplication and perform idempotent target writes. Checkpoints and incremental filters can support scheduled reconciliation where documented.

Can Martini expose an API façade for Sprinklr data?

Yes. Martini can expose a controlled REST API that abstracts selected Sprinklr resources for downstream applications. The façade can centralize OAuth handling, field mapping, validation, business rules, rate control, error handling, and access policies while keeping Sprinklr-specific API details behind the Martini workflow.

Related Martini documentation

APIs

Workflows

Transformation

Security

Operations

Connect Sprinklr with your enterprise systems

Use Martini to build maintainable Sprinklr integrations around REST APIs, selected event callbacks, secure authentication, workflow orchestration, data transformation, and reliable synchronization.

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