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Finance Financial ServicesTop 8 Best Prime Brokerage Software of 2026
Ranked comparison of Prime Brokerage Software for buy-side teams, covering Broadridge Flex, SimCorp, Imagine Software, and key tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Broadridge Flex
Governed schema and RBAC with audit logs for controlled changes to workflow and data entities.
Built for fits when prime brokerage teams need governed automation with strong integration and extensibility..
SimCorp
Editor pickUnified entity and event model that drives consistent booking, positions, and downstream automation.
Built for fits when mid-size prime brokers need controlled automation across trade, positions, and settlement data..
Imagine Software
Editor pickSchema-driven workflow and data validation tied to prime brokerage entities and event triggers.
Built for fits when broker operations need schema-enforced automation with RBAC and auditable reconciliation..
Related reading
Comparison Table
This comparison table maps Prime Brokerage software across integration depth, focusing on how each vendor models account and instrument data, then provisions it through schema and configuration controls. It also compares automation and API surface, including API scope, throughput characteristics, and extensibility for workflow orchestration. Admin and governance coverage is assessed via RBAC patterns and audit log granularity, so tradeoffs in control versus operational flexibility are visible.
Broadridge Flex
brokerage platformBroadridge Flex delivers brokerage and prime operations platforms with configurable workflows and integration points for downstream systems and reporting.
Governed schema and RBAC with audit logs for controlled changes to workflow and data entities.
Broadridge Flex supports prime brokerage operating flows that connect order life cycle events to downstream settlement and reporting tasks through configuration and integrations. The data model centers on consistent entities and schemas so that partner and internal systems can share a common view for reconciliation and operations. Extensibility relies on an API and automation hooks that reduce manual intervention during high-volume processing.
A key tradeoff is that deeper configuration and schema control requires careful upfront mapping of reference data and operational workflows. Broadridge Flex fits best when teams need controlled automation across multiple counterparties and systems, such as event-driven provisioning, reference data synchronization, and governed changes via RBAC and audit log.
- +Integration breadth across prime brokerage workflows and downstream settlement tasks
- +Configurable automation tied to a consistent entity and schema data model
- +API surface for event-driven extensions and higher throughput processing
- +RBAC and audit log support governance for operational configuration changes
- –Upfront schema and workflow mapping increases initial implementation effort
- –Complex governance settings can slow rapid changes without change control discipline
Prime brokerage operations teams
Automate onboarding-to-settlement processing chains
Fewer manual handoffs during settlement
Engineering integration teams
Build event-driven system integrations
Reduced integration latency
Show 2 more scenarios
Platform governance leads
Control configuration across counterparties
Lower change-related operational risk
Apply RBAC and audit logging to manage workflow schema and rule changes safely.
Data management teams
Enforce reference data schema consistency
Cleaner reconciliation outputs
Standardize entity schemas so partner and internal data stays aligned for reporting.
Best for: Fits when prime brokerage teams need governed automation with strong integration and extensibility.
More related reading
SimCorp
capital markets platformSimCorp offers investment management software that supports brokerage-adjacent operating models through configurable data models and integration for position, trade, and reference data flows.
Unified entity and event model that drives consistent booking, positions, and downstream automation.
SimCorp fits firms that need a shared data model across trade lifecycle, settlement-relevant positions, and corporate actions enrichment. Integration centers on an automation and API surface that supports system-to-system provisioning, message handling, and orchestration for downstream processes. Configuration and governance controls such as RBAC and audit logs provide traceability from change events to operational outcomes.
A tradeoff appears when teams require rapid custom behavior that is not aligned to SimCorp's domain schema. High custom logic often shifts into controlled extensibility points that still need schema mapping and governance approval. SimCorp works well when throughput depends on consistent entity definitions and when automation must run with predictable data lineage.
- +Centralized data model reduces cross-system schema drift
- +API and automation hooks support end-to-end workflow orchestration
- +RBAC and audit logs improve operational governance
- +Configuration-driven provisioning reduces manual back-office steps
- –Custom workflow logic still depends on schema mapping
- –Integration projects require careful entity alignment and test coverage
- –Extensibility can add governance overhead for rapid changes
Prime brokerage operations teams
Automate booking to settlement handoffs
Fewer exceptions in operations
Integration and engineering teams
Connect OMS, risk, and reference feeds
Lower integration maintenance effort
Show 2 more scenarios
Compliance and governance teams
Track changes across automated processes
Stronger auditability for controls
Applies RBAC and audit log trails for configuration changes and operational activity.
Quant and risk teams
Maintain settlement-relevant positions
More consistent risk calculations
Feeds risk-facing position views from the same underlying model used for operational reporting.
Best for: Fits when mid-size prime brokers need controlled automation across trade, positions, and settlement data.
Imagine Software
front-to-back tradingImagine Software provides front-to-back trading and operations functionality with workflow configuration and system integration capabilities used in financial services.
Schema-driven workflow and data validation tied to prime brokerage entities and event triggers.
Imagine Software is geared for prime brokerage workflows that require consistent data mapping across onboarding, trading events, and settlement outputs. A schema-driven data model makes it easier to enforce field-level structure for entities like accounts, instruments, positions, and corporate actions. Integration depth is measured by how contract and operational events can be connected to downstream feeds via API-based data exchange and automation triggers. Governance controls matter for auditability since role-based access controls and audit logs support controlled operations and traceability.
A tradeoff appears in the upfront configuration effort required to model brokerage-specific fields and map schemas to partner feeds. Imagine Software fits best when teams need repeatable throughput for daily reconciliation, exception workflows, and regulatory reporting outputs tied to a consistent data model. It also fits when integration partners demand deterministic provisioning patterns and automation that runs without manual operator intervention. Where integrations are mostly ad hoc file uploads, the configuration overhead can outweigh the gains from schema enforcement.
- +Schema-driven data model for consistent accounts, positions, and settlement entities
- +API-first integration patterns for provisioning and event-driven data exchange
- +RBAC and audit log coverage for controlled operations and traceability
- +Configurable automation for exception handling and reconciliation workflows
- –Broker-specific schema mapping requires upfront configuration work
- –High customization can increase time to stabilize workflows for new partners
prime brokerage operations teams
Automate reconciliation and exception routing
Fewer manual adjustments
integration engineering teams
Provision partner feeds via API
Lower integration drift
Show 2 more scenarios
compliance and reporting teams
Generate audit-ready settlement outputs
Faster audit evidence
Connects contract and settlement events to auditable reporting and export workflows.
operations control teams
Enforce RBAC for trade actions
Tighter access control
Applies RBAC to operational actions and records an audit log for governance reviews.
Best for: Fits when broker operations need schema-enforced automation with RBAC and auditable reconciliation.
SS&C Advent
portfolio operationsSS&C Advent offers portfolio and operations platforms with configurable data models and integrations for trading and corporate actions workflows.
RBAC-backed audit logging for configuration and data lifecycle changes.
SS&C Advent supports prime brokerage workflows through configurable data structures aligned to booking, settlement, and reporting requirements. Integration depth comes from an automation and API surface designed to connect upstream trade capture, downstream accounting feeds, and reference data pipelines.
Its data model centers on schema-driven entities for accounts, trades, positions, and corporate actions, with controlled lifecycle updates. Admin and governance features focus on provisioning, role-based access control, and audit logging to track configuration and data changes.
- +Schema-driven data model for trades, positions, and corporate actions
- +API surface supports integration with trade, accounting, and reference data
- +Automation workflows reduce manual re-keying across brokerage events
- +RBAC and audit logs support change tracking for operations and config
- –Extensibility can require skilled configuration and workflow design
- –Automation throughput depends on integration event design and batching
- –Admin governance setup can be time-consuming for multi-entity deployments
- –Deep integrations may need careful mapping across external data schemas
Best for: Fits when brokerage operations need governed automation and documented APIs across systems.
Charles River Development
front-to-back platformDelivers front-to-back financial workflows with configurable reference data, case handling, and integration interfaces used for prime brokerage processing.
Configurable enterprise data schema for instruments, accounts, and corporate actions powering event-driven workflows.
Charles River Development provisions a prime brokerage operating model with instrument, account, and corporate action data that supports order, booking, and reconciliation workflows. Integration depth centers on configurable data schemas, reference data management, and connectivity to counterparties, venues, and downstream systems.
Automation and API surface are oriented around workflow configuration, event-driven processing, and extensibility hooks for custom logic. Admin and governance controls focus on controlled configuration, role-based access, and auditability for changes and operational actions.
- +Configurable data model for instruments, accounts, and corporate actions
- +Workflow automation driven by rule and schema configuration
- +Extensible integration approach for counterparty and venue connectivity
- +Governance controls support RBAC-style permissioning and change tracking
- –Schema and workflow configuration require disciplined setup and ownership
- –Complex integration scenarios can add operational overhead for teams
- –Customization depth can increase testing and deployment coordination needs
- –Operational visibility depends on how audit and logging are configured
Best for: Fits when prime brokerage teams need tight schema control and configurable automation.
Axiom Software (Prime Brokerage Operations)
broker operationsOffers securities processing and finance operations tooling with configurable workflows, reconciliation support, and integration options aimed at broker back offices.
Workflow automation backed by schema-bound operational records and audit logged configuration changes.
Axiom Software (Prime Brokerage Operations) fits firms that need prime brokerage operations workflows with explicit control over data schema, user roles, and execution paths. Its core value centers on integration depth between broker systems, internal order and allocation records, and operational tooling via documented API surface and configurable automation.
The data model supports end-to-end operational objects like allocations, confirmations, and operational events mapped to consistent schemas for downstream reporting and reconciliation. Admin controls emphasize governance through role based access control and audit logging for changes to workflow configuration and operational records.
- +Documented API supports workflow automation and operational data exchange
- +Configurable schema mapping reduces reconciliation friction across broker inputs
- +Audit log tracks workflow and record changes for governance review
- +RBAC limits access to provisioning, configuration, and operational actions
- –Complex workflow configuration can increase setup time for new teams
- –Automation relies on correct schema alignment between upstream feeds
- –Throughput tuning requires careful batching to avoid processing backlogs
Best for: Fits when prime brokerage teams need governed automation with API-driven integrations and strict data mapping.
Aquis Data Platform
market data APIsOffers market data distribution and API-based access patterns that support prime brokerage data ingestion and operational analytics.
Schema-driven provisioning with API-driven workflows and RBAC-protected access controls.
Aquis Data Platform is positioned around data integration and governed data provisioning for brokerage workflows. It centers on a configurable data model and schema management that supports structured ingestion, transformation, and controlled distribution to downstream systems.
Automation and an API surface focus on repeatable provisioning steps, where changes can be driven by configuration and validated against the platform data model. Admin and governance controls focus on RBAC, change control, and audit visibility for operational traceability.
- +Configurable schema and data model support controlled ingestion and distribution
- +API-driven provisioning enables repeatable workflow setup
- +RBAC and audit log support governance over data and operational changes
- +Automation reduces manual handoffs between integration steps
- –Admin configuration depth can require careful upfront modeling work
- –Complex transformations may need multiple configuration layers
- –Throughput tuning for high-volume feeds depends on integration design
- –Automation depends on consistent schema alignment across sources
Best for: Fits when brokerage teams need governed data provisioning with API-driven automation and RBAC.
Atlassian Jira Software
case workflow automationSupports configurable issue workflows, RBAC, and audit history used to operationalize prime brokerage exception handling and work queue governance.
Jira Automation rules combine event triggers with scheduled actions and conditional field updates.
Atlassian Jira Software is an issue and workflow system that maps cleanly onto brokerage operations using projects, custom fields, and issue links. Integration depth comes from REST APIs, webhooks, OAuth-based authentication options, and marketplace add-ons that extend schemas and automation touchpoints.
The data model centers on projects, issue types, fields, workflow states, and permission schemes, which supports repeatable provisioning and consistent RBAC patterns. Admin and governance rely on permission controls, audit logging, and automation rules that work with the same underlying workflow and issue events.
- +REST API and webhooks cover issues, workflows, and project configuration changes
- +Workflow engine supports state transitions, conditions, and validators
- +Automation rules handle triggers, branching, and field updates without custom code
- +RBAC via permission schemes limits browse, edit, and transition scope
- +Extensibility through Marketplace apps and Jira app frameworks
- –Workflow and field schema changes can require careful migration planning
- –Cross-system data consistency depends on integration design and event ordering
- –Automation throughput can become a bottleneck at high event volume
- –Permission modeling for granular brokerage roles can be complex
Best for: Fits when brokerage teams need workflow-driven tracking with API-based integration and governance controls.
How to Choose the Right Prime Brokerage Software
This buyer's guide covers prime brokerage software capabilities across Broadridge Flex, SimCorp, Imagine Software, SS&C Advent, Charles River Development, Axiom Software (Prime Brokerage Operations), Aquis Data Platform, and Atlassian Jira Software.
The guide focuses on integration depth, data model design, automation and API surface, and admin and governance controls that teams need to control workflow changes.
The sections connect evaluation criteria to concrete mechanisms like RBAC, audit logs, schema governance, event-driven automation hooks, and REST APIs plus webhooks.
Prime brokerage workflow systems that route trades, settlement, and positions through a governed data model
Prime brokerage software coordinates broker-to-client operating workflows that span trade capture, booking, settlement, positions, and reference or corporate action events, while enforcing consistent entity mapping. These platforms reduce reconciliation drift by binding automation rules to a shared schema and by tracking configuration and data lifecycle changes.
Teams use tools like Broadridge Flex to route workflow and downstream settlement data through configurable processes with a governance-focused schema and RBAC plus audit logging. Other teams use SimCorp to centralize entity and event modeling for consistent booking and position services connected to OMS, risk, collateral, and reference data flows.
Evaluation criteria for integration depth, governed schema, and automation control in prime brokerage systems
Integration depth matters because prime brokerage workflows depend on correct event ordering and consistent entity alignment across upstream feeds and downstream accounting, reporting, and collateral systems. Broadridge Flex and SimCorp emphasize integration points backed by a consistent data model to reduce schema drift.
Automation and API surface matter because controlled throughput depends on how workflows trigger on events and how systems can be provisioned and extended without manual re-keying. SS&C Advent and Axiom Software (Prime Brokerage Operations) pair an API surface with schema-driven entities plus RBAC and audit logs to control operational changes.
Governed schema and RBAC with audit logging
Broadridge Flex delivers governed schema and RBAC with audit logs for controlled changes to workflow and data entities. SS&C Advent also uses RBAC-backed audit logging for configuration and data lifecycle changes, which supports change control for multi-entity deployments.
Centralized entity and event model for booking, positions, and downstream automation
SimCorp uses a unified entity and event model to drive consistent booking, positions, and downstream automation. Imagine Software also ties schema-driven workflows and data validation to prime brokerage entities and event triggers.
Documented API and event-driven automation hooks for throughput
Broadridge Flex exposes an API surface for event-driven extensions and higher throughput processing. SimCorp supports documented APIs and event-driven automation hooks that connect OMS, risk, collateral, and reference data feeds.
Schema-driven provisioning and configuration-driven workflow execution
Imagine Software uses a schema-driven data model for consistent accounts, positions, and settlement entities with an API-oriented approach to provisioning and data exchange. Aquis Data Platform focuses on schema-driven provisioning where API-driven workflows validate against the platform data model before distributing to downstream systems.
Admin controls for workflow change tracking and governance
SS&C Advent centers admin controls on provisioning, RBAC, and audit logging that tracks configuration and data changes across trades, positions, and corporate actions. Charles River Development provides governance controls aligned to controlled configuration, role-based permissioning, and auditability for operational actions.
Workflow automation tied to schema-bound operational records
Axiom Software (Prime Brokerage Operations) ties workflow automation to schema-bound operational objects like allocations, confirmations, and operational events, with audit-logged configuration changes. A common implementation outcome is fewer reconciliation handoffs when operational records map cleanly to consistent schemas.
A decision framework for selecting prime brokerage software based on integration, schema control, and automation governance
Selection should start with how the system models entities and events across trade, booking, positions, and settlement. SimCorp and Broadridge Flex are strong fits when the workflow layer must bind automation rules to a consistent schema for controlled throughput.
Next, selection should validate the automation trigger path and the extensibility approach. Broadridge Flex, SS&C Advent, and Axiom Software (Prime Brokerage Operations) emphasize an API and automation surface with RBAC plus audit logs, while Jira Software shifts control toward issue and workflow state transitions for exception handling.
Map required workflow stages to each tool’s entity and event model
Teams should list the exact stages needed for the prime brokerage operating model, then match them to how the tool binds automation to entities and events. SimCorp uses a centralized entity and event model for booking, positions, and downstream automation, while Charles River Development focuses on configurable enterprise schemas for instruments, accounts, and corporate actions powering event-driven workflows.
Verify integration depth with upstream and downstream systems via documented APIs and event triggers
Teams should validate connectivity to OMS, risk, collateral, and reference data feeds or to trade capture and accounting pipelines based on the tool’s documented API and event-driven hooks. Broadridge Flex and SimCorp emphasize API surfaces plus event-driven extensions, while SS&C Advent emphasizes integration through an automation and API surface connected to upstream trade capture and downstream accounting feeds.
Define the automation surface and how workflows should trigger without manual re-keying
Teams should check whether automation is configuration-driven and tied to event triggers rather than relying on custom logic for every partner event. Imagine Software uses schema-driven workflow validation tied to prime brokerage entities and event triggers, and Axiom Software (Prime Brokerage Operations) automates based on schema-bound operational records like allocations and confirmations.
Require governance mechanisms that match operational change control needs
Teams should compare RBAC coverage and audit log behavior for both configuration changes and data lifecycle events. Broadridge Flex pairs RBAC with audit logs tied to workflow and data entity changes, and SS&C Advent pairs RBAC-backed audit logging with controlled lifecycle updates for trades, positions, and corporate actions.
Plan for schema and workflow mapping effort and change-control discipline
Teams should budget time for upfront schema and workflow mapping, then define a testing plan that covers broker-specific mappings and partner onboarding. Broadridge Flex and SimCorp both rely on schema consistency and entity alignment, and their configuration depth increases implementation effort when mappings are complex.
Choose an execution layer for exceptions and work queues if needed
Teams that need workflow-driven tracking for exception handling can use Atlassian Jira Software to combine REST APIs, webhooks, OAuth-based authentication options, and Jira Automation rules for state transitions and conditional field updates. This approach complements schema-driven operations in tools like Broadridge Flex when exception workflows must be tracked as issue state changes.
Prime brokerage software buyers by operating model and control requirements
Prime brokerage software is typically selected by broker-dealer operations and middle-office teams that must coordinate governed workflows across trade, settlement, and positions. The best-fit choice depends on how much schema control and automation governance the organization needs day to day.
The tool selection also depends on whether the team needs a workflow execution platform with event-driven APIs or a work-queue system for exception handling states.
Prime brokerage teams that need governed automation across workflow and data entities
Broadridge Flex is the best match when schema governance, RBAC, and audit logs must control workflow and data entity changes with an API surface for event-driven extensibility. Axiom Software (Prime Brokerage Operations) is a strong fit when schema-bound operational records like allocations and confirmations must drive workflow automation with audit-logged configuration changes.
Mid-size prime brokers focused on controlled throughput for trade, positions, and settlement
SimCorp fits teams that want a centralized data model and a unified entity and event model that drives consistent booking and downstream automation connected to OMS, risk, collateral, and reference data flows. This helps reduce schema drift through API and automation hooks that orchestrate back-office workflows.
Operations teams that must enforce schema-driven reconciliation and exception handling
Imagine Software fits when prime brokerage operations need schema-enforced automation tied to entity validation and event triggers, with RBAC and audit trails for governed operations. Charles River Development also fits when tight schema control for instruments, accounts, and corporate actions must power configurable event-driven workflows.
Brokerage operations that integrate trade capture, accounting, and corporate actions with governance controls
SS&C Advent fits teams that require configurable data structures aligned to booking, settlement, and reporting needs plus an API surface for integrating trade capture and reference data pipelines. The RBAC and audit logging for configuration and data lifecycle changes supports controlled lifecycle updates across trades, positions, and corporate actions.
Teams that need governed data provisioning and API-based ingestion for prime brokerage analytics and downstream feeds
Aquis Data Platform fits when prime brokerage teams focus on schema-driven provisioning, repeatable API-driven workflows, and RBAC-protected access controls for controlled distribution. This supports consistent ingestion and transformation across data sources before distribution to downstream systems.
Prime brokerage tooling pitfalls that cause schema drift, slow governance, or stalled automation
Prime brokerage implementations can fail when schema and workflow mapping effort is underestimated or when automation governance is not aligned with operational change control practices. Several tools explicitly require disciplined setup to keep schema consistency across broker-specific mappings and downstream systems.
Another frequent issue is treating automation throughput as purely a performance exercise instead of an event design and batching exercise where tool configuration and integration design must match.
Underestimating upfront schema and workflow mapping work
Broadridge Flex and Imagine Software both require upfront schema and workflow mapping to align broker-specific entities and event triggers to the platform model. The corrective step is to plan a schema governance and testing phase before scaling partner onboarding.
Allowing configuration changes without explicit RBAC and audit trail verification
Teams that skip governance review can end up with unclear change provenance across workflows and data entities. Broadridge Flex and SS&C Advent provide RBAC plus audit logging for configuration and data lifecycle changes, so governance checks should be part of release and partner change workflows.
Building automation extensions without an event-driven trigger plan
Axiom Software (Prime Brokerage Operations) depends on correct schema alignment between upstream feeds and schema-bound operational records, so ad hoc extensions can break reconciliation workflows. Broadridge Flex and SimCorp support event-driven extensions and automation hooks, so extensions should be designed around the same event trigger model.
Treating exception tracking and work queues as the same as operational workflow execution
Atlassian Jira Software provides issue workflows and state transitions for exception handling, not a schema-bound trade and settlement execution layer. The corrective step is to connect Jira Software workflows via REST APIs and webhooks for exception work queues while keeping trade, booking, and settlement governed in tools like SimCorp or SS&C Advent.
Ignoring throughput design details like batching and event ordering
SS&C Advent notes that automation throughput depends on integration event design and batching, and Axiom Software (Prime Brokerage Operations) highlights that throughput tuning requires careful batching to avoid backlogs. The corrective step is to define event ordering rules and batch strategy in integration design, then validate it with real event volumes.
How We Selected and Ranked These Tools
We evaluated Broadridge Flex, SimCorp, Imagine Software, SS&C Advent, Charles River Development, Axiom Software (Prime Brokerage Operations), Aquis Data Platform, and Atlassian Jira Software using a consistent criteria set that scored features, ease of use, and value for prime brokerage workflows. We rated each tool on these three factors and used a weighted average in which features carried the most weight, while ease of use and value each accounted for the remainder. This editorial research focused on the documented capabilities included in the provided tool descriptions and feature lists, not on private benchmark experiments or lab testing.
Broadridge Flex set itself apart by combining governed schema and RBAC with audit logs for controlled changes and by exposing an API surface for event-driven extensions that supports higher throughput processing. That combination lifted it in the features factor because it directly links governance, schema consistency, and automation extensibility into one operational control surface.
Frequently Asked Questions About Prime Brokerage Software
How do Broadridge Flex and SimCorp differ in data model design for booking and positions?
Which tools support API-driven extensibility for prime brokerage workflows instead of manual configuration?
What integration patterns work best for connecting OMS, risk, collateral, and reference feeds?
How do SS&C Advent and Charles River Development handle corporate actions across the workflow lifecycle?
What security controls are typically required for prime brokerage admin teams, and which platforms support them?
How does data migration work when switching from an existing schema to a schema-bound prime brokerage platform?
Which tools are better suited for auditability of configuration changes and operational events?
How do Broadridge Flex and Aquis Data Platform differ for provisioning and change control?
When prime brokerage operations require structured allocation and confirmation records, which platforms map the objects most directly?
Conclusion
After evaluating 8 finance financial services, Broadridge Flex stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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