GITNUXSOFTWARE ADVICE
Financial Services InsuranceTop 10 Best Wealth Screening Software of 2026
Ranked roundup of wealth screening software for financial teams, comparing Dataro, Windfall Data, and Altrata with key tradeoffs and features.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Dataro is the strongest fit when financial teams need repeatable batch wealth screening plus API-driven enrichment to prioritize prospects in pipeline workflows, whereas Windfall Data works better if fundraising teams want scheduled net-worth predictions and audience enrichment via batches and API.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Dataro
API screening that supports automated screening runs and external system pulls without manual export steps.
Built for fits when financial teams need repeatable batch screening plus API-driven enrichment for pipeline operations..
Windfall Data
Editor pickAPI-based screening endpoints designed for queue automation and controlled enrichment of large prospect sets.
Built for fits when fundraising teams need scheduled batch and API enrichment for prospect pipelines..
Altrata Wealth Intelligence
Editor pickAPI-driven batch screening that returns householded enrichment ready for repeated queue runs.
Built for fits when teams need programmatic, household-level screening enrichment feeding CRM and capacity workflows..
Comparison Table
Dataro
API-firstDataro applies machine learning to donor data for fundraising propensity scoring and prospect prioritization.
API screening that supports automated screening runs and external system pulls without manual export steps.
Dataro centers on batch screening for prospect pipelines, with enrichment signals that include giving history aggregation and real estate asset lookup to support capacity and fit decisions. Householding helps group related records so downstream scoring and exports use consistent entity boundaries. A documented automation surface includes API screening so screening runs can be triggered and results pulled into external systems instead of relying on manual exports.
A key tradeoff is that data freshness and false positive suppression depend on how often teams run scheduled screens and how they apply matching rules for household membership. The best usage fit is teams that already have a CRM connector or data ingestion workflow and want Dataro to act as the screening and enrichment step for queued prospects. Teams can then rerun the same screen sets after updates to keep pipeline lists current.
- +API screening enables queued runs and programmatic result pulls
- +Householding reduces duplicate contacts and stabilizes downstream scoring
- +Batch screening queues support recurring prospect pipeline refresh cycles
- +Export formats are built for integration into enrichment and reporting workflows
- –Matching and household rules require disciplined configuration to avoid mis-grouping
- –Advanced workflows can require more integration work than GUI-only screen tools
- –Some edge-case enrichment gaps can surface when source coverage is thin
- –High-throughput screening benefits from careful run scheduling to control latency
Wealth operations teams
Refresh prospect pipeline screening queues
Less manual list maintenance
CRM integration engineers
Trigger enrichment from CRM events
Faster prospect onboarding
Show 2 more scenarios
Major gifts analytics teams
Consolidate giving history per household
More consistent capacity inputs
Householding groups related records so giving signals roll up consistently for capacity decisions.
Risk and compliance stakeholders
Reduce duplicate and mismatched entities
Lower false-positive research effort
Householding and matching rules limit duplicate research outputs across contacts.
Best for: Fits when financial teams need repeatable batch screening plus API-driven enrichment for pipeline operations.
Windfall Data
enterpriseWealth intelligence platform providing net worth predictions and audience enrichment.
API-based screening endpoints designed for queue automation and controlled enrichment of large prospect sets.
Windfall Data is built around repeatable prospect enrichment, including batch screening runs and API-based screening for smaller operational loops. The system supports practical governance patterns such as screening queues and role-based access controls so different teams can run enrichment without exposing the same dataset edits. Automation depth is stronger than many desktop-first tools because it is designed for frequent queue runs and programmatic requests that can be scheduled around internal workflows.
A tradeoff appears in how tightly the workflow expects structured inputs, since poor matching keys will increase the need for deduplication cleanup outside the screening run. Windfall Data fits situations where a CRM connector or internal import process already exists and the team needs consistent enrichment at pipeline volume without rerunning manual research. Teams also tend to use it when they need suppression of obvious false matches and a consistent output format for downstream capacity review.
- +API-based screening supports automated pipeline enrichment
- +Batch screening runs match recurring prospect queue workflows
- +Governance controls support controlled access by research roles
- +Data freshness controls reduce stale-screening results
- –Record matching quality depends on provided identifiers
- –Output formatting requires downstream handling for niche views
- –Some enrichment workflows need extra setup in CRM imports
- –Automation is strongest when inputs are standardized
Prospect research teams
Run scheduled enrichment on pipeline queues
Fewer manual lookups
Data operations teams
Automate screening through API workflows
Higher throughput
Show 1 more scenario
CRM administrators
Standardize prospect output for sync
Cleaner CRM records
Windfall Data produces consistent screening outputs so CRM updates follow repeatable mapping rules.
Best for: Fits when fundraising teams need scheduled batch and API enrichment for prospect pipelines.
Altrata Wealth Intelligence
enterpriseAltrata Wealth Intelligence provides private wealth profiles, family relationships, assets, and philanthropic intelligence.
API-driven batch screening that returns householded enrichment ready for repeated queue runs.
Altrata Wealth Intelligence provides a screening-oriented research layer that feeds householding, holdings context, and philanthropy history inputs used by wealth and fundraising teams. The product design emphasizes repeatable screening runs and downstream use in pipeline management, including deceased handling and record matching. An API and automation surface enables batch processing and enrichment without manual export cycles.
A tradeoff appears in how teams must align their CRM and prospect identifiers to get reliable householding and deduplication in large imports. Altrata fits best when a team needs ongoing batch screening for a prospect pipeline and wants programmatic triggers for refreshed research and capacity-related signals.
- +API screening supports automated batch enrichment into existing pipelines
- +Household-focused output reduces repeated research across related contacts
- +Batch screening workflow supports queue-style processing at scale
- +Research refresh supports ongoing data freshness for active prospects
- –Identifier mapping is required to maintain matching quality at scale
- –Finer governance controls can require implementation discipline across environments
- –Some niche research needs depend on source availability for coverage
- –UI tooling for complex review steps may feel lighter than analyst-first tools
Wealth operations teams
Weekly screening of new households
Fewer manual research cycles
Fundraising prospect researchers
Gift history aggregation for matching
Cleaner donor records
Show 1 more scenario
CRM and data engineering
API screening into CRM connector
Automated data refreshes
Provision enrichment jobs through API calls and synchronize refreshed attributes on a defined cadence.
Best for: Fits when teams need programmatic, household-level screening enrichment feeding CRM and capacity workflows.
WealthEngine
enterpriseWealth screening and prospect research platform providing net worth, capacity, and propensity data.
WealthEngine API enables automated screening runs that feed structured matches into existing CRM and prospect pipelines.
WealthEngine is a wealth screening software used for prospect research and household-level pipeline building. Its core workflow centers on pulling and normalizing individual and organizational wealth indicators, then supporting screening queues and ongoing prospect refresh.
The product supports programmatic screening via API, which helps teams run repeatable batch screening and route matches into downstream CRM workflows. Governance features focus on access control and activity tracking so research operations can be audited alongside screening outputs.
- +API-driven screening supports repeatable batch processing at research-pipeline scale
- +Householding reduces duplicate records when managing donor families and linked entities
- +SEC filings search coverage helps validate public-company-linked wealth indicators
- +Filtering and queue workflows support targeted prospect pipeline stages
- –Requires disciplined entity mapping to prevent false positives from name collisions
- –Custom enrichment logic depends on integration work rather than built-in rule authoring
- –Some signals can lag without a defined data freshness SLA for critical fields
- –Higher-volume use can require additional operational tuning to manage throughput
Best for: Fits when financial teams need API screening and household-level prospect workflows with audit visibility.
DonorSearch
vertical specialistProspect research and wealth screening tool focused on philanthropic indicators and wealth markers.
Household-linked screening outputs keep capacity signals attached to family groups across batch runs.
DonorSearch runs wealth screening workflows that combine prospect profiles with indicators used for capacity and giving prioritization. Batch screening supports queue-style processing for lead lists, and the system is designed to keep screening results tied to households.
The tool also includes search and enrichment capabilities aimed at improving data freshness for downstream prospect pipelines. Admin controls focus on managing workflow access and output destinations used by financial teams.
- +Batch screening queue supports consistent processing across lead lists
- +Household-linked results reduce duplicate outreach targets
- +Automation-friendly export outputs fit downstream prospect pipeline work
- +Integration options for donor database and CRM connectors reduce manual rework
- –Coverage depth varies by enrichment source and may require workflow tuning
- –Admin governance adds friction when multiple teams need different output rules
- –API screening support may require implementation effort for custom pipelines
- –False positive suppression depends on matching and householding configuration
Best for: Fits when financial teams need batch wealth screening with household grouping and repeatable queue workflows.
Gravyty
enterpriseAI fundraising assistant including wealth screening and prospect identification features.
Screening queue workflows that convert enrichment outputs into campaign-ready prospect records with household awareness.
Gravyty is a wealth screening workflow system used for prospect research and donor pipeline management when teams need repeatable screening runs across large contact sets. It centers on data enrichment and matching processes that can feed capacity scoring and household-level review for fundraising operations.
Gravyty also supports integration patterns for moving screened results into downstream CRM and analytics workflows. Admin control and change tracking matter because screening outputs are typically refreshed on a schedule and reused across campaigns.
- +Repeatable screening runs for large prospect pipelines with consistent outputs
- +Integration-focused workflow design for sending enrichment results to downstream systems
- +Household-level review support helps reduce duplicate effort across records
- +Batch-oriented processing supports queue-style screening rather than one-off lookups
- –Workflow configuration requires careful mapping to avoid mismatched entities
- –Some advanced enrichment checks may depend on external data access patterns
- –Built-in review UX can lag behind teams that want custom UI for analysts
- –Data freshness control needs operational discipline to match team SLAs
Best for: Fits when fundraising teams need scheduled, repeatable prospect screening runs feeding CRM updates.
NozaSearch
vertical specialistPhilanthropic giving database with wealth screening for prospect research.
Real-estate asset lookup combined with householding in the same screening workflow reduces cross-record attribution errors.
NozaSearch differentiates through its breadth of prospect screening workflows tied to householding, real-estate asset lookup, and SEC filings search. It aggregates donor and prospect signals into a screening queue that teams can run in batches for pipeline maintenance.
The product’s automation focus centers on updating records and flags used in wealth-oriented reviews. API screening and export workflows support integration with existing donor databases and CRMs.
- +Householding keeps screening aligned to donor families across updates
- +SEC filings search supports recurring prospect research workflows
- +Batch screening fits pipeline maintenance without per-record clicks
- +API screening supports custom screening queue and export automation
- –Workflow configuration requires careful mapping between inputs and household rules
- –Predictive wealth score explanations are less granular than the underlying sources
Best for: Fits when financial teams need repeatable prospect screening with householding and filings search tied to an automated queue.
Givsum
SMBDonor management and wealth screening platform for nonprofit prospect identification.
Screening queue workflow that ties batch runs to householded review outputs for ongoing prospect pipeline maintenance.
Givsum targets wealth screening workflows that feed fundraising prospect pipelines with aggregated giving signals and household-level research. It focuses on operational screening such as batch processing, contact-to-household matching, and exporting results into team systems.
Givsum also supports targeted research pulls for indicators like real estate holdings and SEC filings and then maps outputs into screening queues for review. The main differentiator is the combination of screening automation with a donor-data workflow intended for ongoing pipeline operations.
- +Batch screening supports high-throughput prospect pipeline work
- +Householding helps reduce duplicate-family investigation effort
- +SEC filings search covers public-company and related document lookups
- +Exportable research outputs fit standard fundraising review processes
- –API screening depth is narrower than top automation-first competitors
- –Advanced governance controls require extra configuration discipline
Best for: Fits when mid-size fundraising teams need recurring batch screening and household-level research exports.
Fintel
specialistAggregates filings and company ownership signals that support investor and wealth related research screening patterns.
SEC filings search with time and form filters integrated into company-level research pages.
Fintel aggregates public-market and company intelligence into a search workflow for prospect research and due diligence. Its SEC filings search and company profile pages support repeatable lookup across listed entities and fund raisers, with filters that reduce manual scanning.
Batch screening works through exportable results workflows, and the product exposes an API surface for automated enrichment pipelines. Fintel also supports deal-context lookups like stock holdings and insider transaction filings alongside basic company metadata and relationships.
- +SEC filings search narrows time ranges and form types for faster document review.
- +API screening supports automated enrichment for screening queues and batch workflows.
- +Company and fund-raiser profiles consolidate key public-market fields into one view.
- +Insider transaction and holdings lookups reduce manual cross-site validation work.
- –Wealth screening coverage leans toward public-market signals and can miss private-only profiles.
- –Householding and false positive suppression require extra workflow design outside the core UI.
Best for: Fits when financial teams need automated SEC and public-company enrichment inside a screening queue.
Dun & Bradstreet Wealth & Household Data
enterpriseProvides householding and wealth related attributes via Dun and Bradstreet data products for prospecting and screening workflows.
Householding and wealth enrichment that can be anchored to Dun & Bradstreet entity linkages for consistent pipeline rollups.
Dun & Bradstreet Wealth & Household Data is built for wealth screening teams that need household-level coverage tied to Dun & Bradstreet entity records and commercial data linkages. It supports batch screening workflows and data enrichment around householding, property-linked records, and wealth overlays used for prospect pipeline building.
Its core value centers on consistent entity identifiers for joining across systems and maintaining data freshness through update-driven refresh cycles. Administration is oriented around governed data delivery and controlled access patterns used by financial and research operations.
- +Householding outputs align with Dun & Bradstreet entity identifiers for reliable joins
- +Designed for batch screening and enrichment into prospect pipeline workflows
- +Strength in wealth overlay style enrichment tied to commercial and property linkages
- +Governed data delivery supports controlled use across research and finance teams
- –Less tailored to boutique workflows that require highly curated nonprofit-specific signals
- –API and automation details are limited for teams expecting fully self-serve screening pipelines
- –Requires internal data-matching governance to control duplicates and false positives
- –Household construction may need manual review for edge cases like shared addresses
Best for: Fits when research teams need batch householding and wealth overlays linked to entity IDs.
Conclusion
After evaluating 10 financial services insurance, Dataro 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.
How to Choose the Right wealth screening software
Wealth screening software helps financial teams run repeatable prospect research workflows that aggregate wealth signals into householded views, then push those results into downstream pipeline systems. This buyer’s guide covers Dataro, Windfall Data, Altrata Wealth Intelligence, WealthEngine, DonorSearch, Gravyty, NozaSearch, Givsum, Fintel, and Dun & Bradstreet Wealth & Household Data.
The standout differentiator across these tools is automation and integration depth, especially how API screening endpoints support batch screening queue runs and programmatic result pulls. The guide also spotlights householding behavior and the configuration discipline required for identifier mapping so teams avoid mis-grouping and false positive outcomes.
Wealth screening software for householded capacity and enrichment in prospect pipelines
Wealth screening software automates enrichment for prospect pipelines by combining wealth indicators, household-aware matching, and screening queue workflows that can run in batches. Tools like Dataro and Altrata Wealth Intelligence emphasize API-driven batch screening so financial teams can run scheduled enrichment and pull structured results into existing CRM and capacity workflows.
These platforms typically convert screening inputs into household-linked outputs that keep capacity signals attached to related people and entities across repeated queue runs. Some tools also integrate SEC filings search for recurring public-company research, like Fintel, while others focus on householded screening exports designed for pipeline maintenance such as Gravyty.
Wealth screening capabilities that determine pipeline accuracy
Category fit hinges on how screening runs get triggered and how outputs land back into prospect workflows. Dataro supports API screening runs with queued execution and automated result pulls, which reduces the manual export steps teams hit with GUI-first screening tools.
Household-aware outputs determine whether capacity signals stay attached to the right group across repeated queue runs. Altrata Wealth Intelligence emphasizes household-focused API batch enrichment for repeated queue processing, while DonorSearch keeps capacity signals linked to family groups across batch runs.
API screening endpoints for queue automation
Dataro provides API screening that supports automated screening runs and programmatic result pulls, which keeps batch screening aligned with pipeline operations. Windfall Data also exposes API-based screening endpoints designed for queue automation and controlled enrichment of large prospect sets.
Householding outputs built into enrichment workflows
Altrata Wealth Intelligence returns householded enrichment ready for repeated queue runs, which reduces repeated research across related contacts. WealthEngine also emphasizes household-level prospect workflows with Householding that reduces duplicate records for linked donor-family entities.
Structured match handling that reduces mis-grouping risk
WealthEngine requires disciplined entity mapping to prevent false positives from name collisions, which makes matching quality a first-order implementation factor. Windfall Data flags that record matching quality depends on provided identifiers, which changes how teams should prepare input datasets before batch screening.
Workflow configuration that maps screening inputs to downstream CRM updates
Gravyty focuses on screening queue workflows that convert enrichment outputs into campaign-ready prospect records with household awareness. NozaSearch also ties filings and asset lookup to a repeatable household-aware queue workflow, but requires careful mapping between inputs and household rules.
SEC filings search for recurring public-company enrichment
Fintel’s standout capability is SEC filings search with time and form filters inside its company-level research experience, which speeds public-company research loops. NozaSearch bundles SEC filings search with real-estate asset lookup and householding in the same automated screening workflow.
Entity-linked household rollups anchored to third-party identifiers
Dun & Bradstreet Wealth & Household Data aligns Householding outputs with Dun & Bradstreet entity identifiers for reliable joins, which supports rollups across batch screening. This approach can be less tailored for teams that need niche nonprofit-specific signals and expect deeper workflow control than the category provides.
Decision framework for selecting wealth screening software
Start with the execution model the financial team needs. If the pipeline requires queued batch screening and automated result pulls, Dataro and Windfall Data both center on API-based screening endpoints that fit recurring prospect queue workflows.
Then choose the output discipline needed to keep households and matches correct. Tools such as Altrata Wealth Intelligence and WealthEngine focus on household-level enrichment outputs, while others like DonorSearch trade some workflow depth for queue consistency and household-linked batch results.
Select the automation surface that matches the team’s pipeline cadence
Choose Dataro if the workflow depends on API screening runs with queued execution and automated result pulls into existing pipeline systems. Choose Windfall Data if scheduled batch screening and API enrichment are required for large prospect sets and recurring queue automation.
Decide how households must be produced and consumed downstream
Choose Altrata Wealth Intelligence if household-focused output is the primary deliverable feeding CRM and capacity workflows across repeated queue runs. Choose WealthEngine if household-level prospect workflows must include API screening that produces structured matches with audit visibility.
Fork on how identifier quality will be managed before screening
Choose WealthEngine when the team can invest in disciplined entity mapping to prevent false positives from name collisions and keep matches accurate at scale. Choose Windfall Data when the team can standardize identifiers so record matching quality relies on provided inputs rather than downstream manual cleanup.
Choose the workflow pattern that matches CRM update expectations
Choose Gravyty if enrichment outputs must be converted into campaign-ready prospect records through a screening queue workflow with household awareness. Choose NozaSearch if the screening workflow must combine real-estate asset lookup, SEC filings search, and householding in one queue while accepting the need for careful input-to-household mapping.
Match SEC research requirements to the tool’s filings experience
Choose Fintel if filtering by time ranges and SEC form types is the key speed factor for public-company research inside a screening queue. Choose NozaSearch if the filings workflow needs to be tied directly to asset lookup and householding so the output is attribution-safe for donor-family research.
Teams that get the most value from wealth screening software
Wealth screening software is a fit when prospect research must run repeatedly and the outputs must remain household-linked across pipeline stages. DonorSearch, Gravyty, and Givsum all emphasize screening queue workflows with household grouping for recurring pipeline maintenance, which suits teams that run the same screening steps on updated lead lists.
API-driven tools fit teams that need programmatic execution and controlled enrichment at throughput. Dataro and Windfall Data target API-based screening automation, while Altrata Wealth Intelligence extends that approach with household-level API batch enrichment designed for repeated queue runs feeding CRM and capacity workflows.
Fundraising operations running scheduled prospect queue workflows
Gravyty and Windfall Data align to repeatable screening runs with outputs intended for CRM updates, which supports scheduled pipeline enrichment without ad hoc exporting.
Financial analysts integrating screening into system-to-system research pipelines
Dataro and WealthEngine provide API screening execution designed to feed structured matches into existing CRM and prospect pipelines, which reduces manual steps in high-volume research.
Teams that prioritize household-linked capacity signals for donor families
Altrata Wealth Intelligence and DonorSearch keep enrichment outputs attached at the household or family group level, which reduces duplicate outreach targets across linked contacts.
Prospect researchers who run recurring public-company deep dives
Fintel and NozaSearch both include SEC filings search, which supports recurring enrichment workflows that filter by time and form types or combine filings with household-aware asset lookups.
Research teams standardizing joins to Dun & Bradstreet entity linkages
Dun & Bradstreet Wealth & Household Data anchors household rollups to Dun & Bradstreet entity identifiers, which supports consistent joins across batch screening output sets.
Pitfalls that break householding and screening accuracy
The most common failure mode is treating matching and household configuration as a one-time setup task. Dataro and Altrata Wealth Intelligence both flag configuration discipline requirements for identifier mapping, and both note that matching and household rules can mis-group entities if configuration is not kept disciplined.
A second failure mode is assuming output formatting will fit downstream views without additional workflow handling. Windfall Data notes that output formatting requires downstream handling for niche views, and Fintel notes that householding and false positive suppression require extra workflow design outside the core UI.
Skipping identifier mapping work before enabling batch screening
WealthEngine warns that disciplined entity mapping is required to prevent false positives from name collisions. Dataro also indicates that matching and household rules require configuration discipline to avoid mis-grouping.
Assuming householding rules will work without input standardization
Windfall Data states record matching quality depends on provided identifiers, so inconsistent inputs lead to lower-quality matches. NozaSearch also requires careful mapping between inputs and household rules to keep screening aligned to donor families.
Overestimating how much the tool will handle downstream view formatting
Windfall Data calls out that output formatting needs downstream handling for niche views. Gravyty relies on workflow configuration to map enrichment outputs into campaign-ready prospect records, which means CRM update requirements must be planned.
Treating governance as optional when multiple teams need different outputs
DonorSearch notes that admin governance can add friction when multiple teams require different output rules. Altrata Wealth Intelligence also highlights that finer governance controls can require implementation discipline across environments.
How We Selected and Ranked These Tools
We evaluated wealth screening software on features, ease of use, and value with features weighted at 40% and ease and value each weighted at 30%. We treated API screening automation and the ability to run queued screening runs with programmatic result pulls as a primary differentiator for pipeline throughput.
Dataro earned the top position because its API screening supports automated screening runs and external system pulls without manual export steps, which reduces the operational overhead of recurring prospect pipeline work. Its householding behavior also reduced duplicate contacts in downstream scoring, and that combination of API automation plus household-aware results drove Dataro ahead of Windfall Data and Altrata Wealth Intelligence.
Frequently Asked Questions About wealth screening software
How do API screening endpoints change batch screening workflows in Dataro, Windfall Data, and WealthEngine?
What breaks if a team skips data freshness controls when using Altrata Wealth Intelligence or Gravyty?
How does householding affect record matching and capacity modeling in NozaSearch and Givsum?
When does real estate asset lookup plus SEC filings search matter most, as seen in NozaSearch and Fintel?
Which tool best supports queue automation that writes campaign-ready results into downstream systems without manual exports?
How do admin controls differ between DonorSearch and Dun & Bradstreet Wealth & Household Data?
What tradeoff exists between Household-linked outputs in DonorSearch and entity-ID anchored rollups in Dun & Bradstreet Wealth & Household Data?
What is the typical migration path when moving existing screened lists into Altrata Wealth Intelligence and Fintel?
Where does SEC filings search fall short for wealth screening teams that also need private company valuation context, and how do Fintel and NozaSearch compare?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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- Finance Financial ServicesTop 10 Best Net Worth Software of 2026
- Financial Services InsuranceTop 10 Best Wealth Management CRM Software of 2026
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