{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_asseti","slug":"asseti","name":"Asseti","type":"product","url":"https://www.asseti.co","page_url":"https://unfragile.ai/asseti","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_asseti__cap_0","uri":"capability://data.processing.analysis.usage.pattern.aware.depreciation.modeling","name":"usage-pattern-aware depreciation modeling","description":"Machine learning model that ingests actual asset utilization telemetry (operational hours, usage frequency, maintenance records) and adjusts depreciation schedules dynamically rather than applying static straight-line or accelerated methods. The system learns from historical asset lifecycle data within the customer's portfolio to predict residual value and optimal depreciation curves, accounting for market condition shifts and asset-specific degradation patterns that deviate from accounting standards.","intents":["I need depreciation calculations that reflect how my assets are actually being used, not just textbook formulas","I want to identify assets that are depreciating faster or slower than expected based on real usage","I need to adjust depreciation recommendations when market conditions or asset utilization patterns change"],"best_for":["Finance teams managing heterogeneous asset fleets with variable utilization patterns","Mid-market manufacturers and logistics companies with usage-intensive equipment","Organizations seeking to optimize tax depreciation strategies based on actual asset performance"],"limitations":["Requires 6-12 months of historical usage data to train accurate models; early-stage deployments rely on industry benchmarks","Model accuracy degrades for niche or custom asset types with insufficient training data in the platform's dataset","Does not account for catastrophic failure modes or sudden market disruptions (e.g., technology obsolescence)"],"requires":["Integration with asset tracking system or IoT sensors that emit usage metrics","Historical maintenance and operational records (minimum 6 months)","Connection to accounting software for baseline depreciation parameters"],"input_types":["structured asset metadata (purchase date, cost, category)","time-series usage data (operational hours, utilization percentage)","maintenance records and repair costs","market pricing indices"],"output_types":["depreciation schedule (monthly/quarterly/annual)","residual value estimates","confidence intervals and model performance metrics","variance reports (actual vs. modeled depreciation)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_1","uri":"capability://tool.use.integration.bi.directional.accounting.software.synchronization","name":"bi-directional accounting software synchronization","description":"Middleware layer that maintains real-time or scheduled bidirectional data sync with QuickBooks, Xero, and other accounting platforms via their native APIs. The system maps Asseti's asset records to GL accounts, depreciation expense accounts, and fixed asset registers, automatically pushing depreciation schedules and pulling updated asset cost/accumulated depreciation data to prevent reconciliation drift. Conflict resolution logic detects and flags discrepancies when asset data is modified in both systems.","intents":["I want asset data to stay synchronized between my accounting software and asset management system without manual reconciliation","I need depreciation entries to automatically post to the correct GL accounts in QuickBooks/Xero","I need to detect when asset records diverge between systems and understand what changed"],"best_for":["Accounting teams using QuickBooks Online or Xero as their primary GL","Organizations with monthly or quarterly close processes that require automated depreciation posting","Mid-market businesses seeking to eliminate manual journal entry workflows for asset transactions"],"limitations":["Sync latency is 15-60 minutes depending on polling frequency; real-time bidirectional sync not supported","Custom GL account mappings require manual configuration per customer; no auto-detection of account structure","Does not support multi-entity consolidation or intercompany asset transfers across QuickBooks instances","Xero API rate limits (60 calls/minute) can cause sync delays during bulk asset uploads"],"requires":["Active QuickBooks Online or Xero subscription with API access enabled","Admin-level API credentials (OAuth 2.0 tokens)","GL account mapping configuration (asset, accumulated depreciation, expense accounts)"],"input_types":["asset master data (ID, description, cost, acquisition date, category)","depreciation schedules (monthly/quarterly amounts)","GL account codes and cost center assignments"],"output_types":["journal entries (depreciation expense + accumulated depreciation)","fixed asset register updates","sync status reports and error logs","reconciliation variance reports"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_10","uri":"capability://data.processing.analysis.asset.level.cost.allocation.and.cost.center.tracking","name":"asset-level cost allocation and cost center tracking","description":"System that allocates asset costs to cost centers, departments, or business units and tracks cost center changes over time. The platform supports both direct allocation (assigning an asset to a single cost center) and shared allocation (splitting asset costs across multiple cost centers based on usage percentages). Cost allocation data flows to the GL, enabling cost center-level profitability analysis and departmental asset cost reporting.","intents":["I need to allocate asset costs to the departments that use them for cost center accounting","I want to track how asset costs are distributed across business units for profitability analysis","I need to change cost center assignments when assets are moved between departments"],"best_for":["Finance teams performing cost center accounting and departmental profitability analysis","Organizations with shared assets used by multiple departments","Companies seeking to allocate asset costs based on actual usage rather than simple assignment"],"limitations":["Shared cost allocation requires manual entry of usage percentages; no automatic calculation based on actual usage","Cost center changes are not retroactive; prior-period allocations cannot be adjusted","No integration with time tracking or usage monitoring systems to derive allocation percentages","GL posting of cost allocations requires manual configuration of allocation accounts"],"requires":["Cost center master data and GL account mappings","Asset-to-cost-center assignments","Usage percentages for shared assets (optional)"],"input_types":["asset ID and cost","cost center assignment","usage percentages for shared assets"],"output_types":["cost allocation records","cost center-level asset cost reports","GL postings (cost center allocation)","cost allocation history and audit trail"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_11","uri":"capability://data.processing.analysis.asset.impairment.testing.and.write.down.management","name":"asset impairment testing and write-down management","description":"Workflow that identifies assets with potential impairment (where book value exceeds fair value) based on usage patterns, maintenance costs, and market conditions. The system calculates impairment amounts and generates accounting entries to write down asset values and recognize impairment losses. Impairment testing can be triggered manually or scheduled periodically, and results are documented for audit purposes.","intents":["I need to identify assets that may be impaired and calculate write-down amounts","I want to recognize impairment losses in the correct accounting period for financial reporting","I need to document impairment testing for audit purposes"],"best_for":["Finance teams performing periodic impairment testing for GAAP/IFRS compliance","Organizations with assets subject to rapid technological obsolescence (IT equipment, manufacturing equipment)","Companies in volatile industries where asset values fluctuate significantly"],"limitations":["Impairment testing is based on historical usage and market data; does not account for qualitative factors (e.g., regulatory changes, competitive threats)","Fair value estimation relies on market indices and comparable asset sales; accuracy depends on data quality","Impairment write-downs are not reversible; once an asset is written down, it cannot be written back up","No integration with appraisal or valuation services; fair value must be manually entered or estimated"],"requires":["Asset book value and accumulated depreciation","Fair value estimates (market data, comparable sales, or appraisals)","Usage and maintenance cost history"],"input_types":["asset ID and book value","fair value estimate","usage and maintenance cost data","impairment trigger (manual or scheduled)"],"output_types":["impairment testing results","impairment amount calculation","accounting entries (asset write-down, impairment loss)","impairment testing documentation and audit trail"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_12","uri":"capability://planning.reasoning.asset.maintenance.scheduling.and.predictive.maintenance.recommendations","name":"asset maintenance scheduling and predictive maintenance recommendations","description":"System that schedules preventive maintenance based on asset age, usage, and manufacturer recommendations, and generates predictive maintenance alerts when assets show signs of degradation. The platform integrates maintenance history and cost data to identify assets with rising maintenance costs (indicating potential failure) and recommends proactive maintenance or replacement. Maintenance schedules can be exported to work order systems or maintenance management platforms.","intents":["I want to schedule preventive maintenance based on asset usage and manufacturer recommendations","I need to identify assets that are showing signs of degradation so I can fix them before they fail","I want to optimize maintenance spending by identifying which assets need maintenance most urgently"],"best_for":["Operations and maintenance teams managing equipment fleets","Organizations seeking to reduce unplanned downtime through preventive maintenance","Companies with high maintenance costs looking to optimize spending"],"limitations":["Predictive maintenance relies on historical maintenance data; early-stage assets lack sufficient history for accurate predictions","Maintenance scheduling does not account for operational constraints (e.g., production schedules, seasonal demand); manual adjustment required","No integration with work order systems; maintenance schedules must be manually transferred","Maintenance cost data must be manually entered; no integration with maintenance management systems"],"requires":["Asset master data with manufacturer maintenance recommendations","Historical maintenance records and costs","Usage data (operational hours, utilization percentage)"],"input_types":["asset ID and maintenance history","manufacturer maintenance recommendations","usage data","maintenance cost data"],"output_types":["preventive maintenance schedule","predictive maintenance alerts","maintenance cost analysis","work order export (for integration with maintenance systems)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_2","uri":"capability://automation.workflow.automated.compliance.reporting.and.audit.trail.generation","name":"automated compliance reporting and audit trail generation","description":"System that generates audit-ready depreciation schedules, asset movement reports, and fixed asset register exports in formats required by GAAP, IFRS, and local tax authorities. The platform maintains an immutable transaction log of all asset changes (acquisitions, disposals, reclassifications, depreciation adjustments) with timestamps and user attribution, enabling rapid audit preparation and compliance verification. Reports can be filtered by asset class, cost center, or GL account and exported as PDF, Excel, or XML.","intents":["I need to generate a fixed asset register for our annual audit in GAAP-compliant format","I want to prove the audit trail for every asset change (who modified it, when, and why)","I need to export depreciation schedules and asset movement reports for tax filing"],"best_for":["Finance and accounting teams preparing for external audits","Organizations in regulated industries (healthcare, finance) requiring detailed asset compliance documentation","Tax departments needing to substantiate depreciation deductions and asset disposals"],"limitations":["Report templates are pre-configured for GAAP/IFRS; custom compliance frameworks require manual template creation","Audit trail is immutable within Asseti but does not extend to upstream systems (e.g., if an asset is deleted in QuickBooks, Asseti cannot recover the original record)","Export formats are limited to PDF, Excel, and XML; no direct integration with audit management platforms (e.g., AuditBoard, Workiva)"],"requires":["Complete asset master data with acquisition dates, costs, and depreciation methods","User access control configuration to track who made changes","Accounting period definitions (fiscal year, close dates)"],"input_types":["asset master records","depreciation schedules","asset movement transactions (acquisitions, disposals, transfers)","GL account mappings"],"output_types":["fixed asset register (PDF, Excel, XML)","depreciation schedule by asset class","asset movement report (additions, disposals, transfers)","audit trail log (transaction-level detail with user attribution)","compliance checklist (GAAP/IFRS/tax requirements)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_3","uri":"capability://planning.reasoning.asset.lifecycle.stage.classification.and.recommendation.engine","name":"asset lifecycle stage classification and recommendation engine","description":"Machine learning classifier that assigns assets to lifecycle stages (acquisition, growth, maturity, decline, disposal) based on age, usage patterns, maintenance costs, and market conditions. The system generates actionable recommendations for each stage (e.g., 'schedule preventive maintenance', 'consider replacement', 'optimize utilization') and surfaces high-risk assets (those approaching end-of-life or showing unexpected degradation) for proactive management. Recommendations are prioritized by financial impact and operational risk.","intents":["I want to know which of my assets are approaching end-of-life so I can plan replacements","I need to identify underutilized assets that could be repurposed or sold","I want to prioritize maintenance spending on assets that will provide the best ROI"],"best_for":["Operations and maintenance teams managing large equipment fleets","Capital planning teams forecasting replacement cycles and budget requirements","Asset managers seeking to optimize utilization and reduce idle capacity"],"limitations":["Lifecycle stage classification requires 12+ months of usage and maintenance data; early-stage assets default to industry benchmarks","Recommendations are based on historical patterns and may not account for sudden operational changes (e.g., shift to remote work reducing facility utilization)","No integration with procurement systems; recommendations do not include vendor pricing or lead time data"],"requires":["Historical usage data (operational hours, utilization percentage)","Maintenance records with costs and frequency","Asset acquisition dates and original costs","Market pricing indices for asset category"],"input_types":["asset metadata (age, cost, category, location)","time-series usage metrics","maintenance history and costs","market condition data"],"output_types":["lifecycle stage assignment (acquisition, growth, maturity, decline, disposal)","prioritized recommendations (maintenance, replacement, utilization optimization)","risk scores (financial and operational)","replacement cycle forecasts with budget impact"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_4","uri":"capability://data.processing.analysis.multi.tenant.asset.portfolio.aggregation.and.benchmarking","name":"multi-tenant asset portfolio aggregation and benchmarking","description":"Platform capability that aggregates anonymized asset data across the customer base to generate industry benchmarks for depreciation rates, utilization patterns, maintenance costs, and lifecycle durations by asset class and industry vertical. Customers can compare their asset portfolio metrics (e.g., average asset age, maintenance cost per asset, utilization rate) against peer benchmarks to identify optimization opportunities. Benchmarking data is updated quarterly and segmented by company size, industry, and geography.","intents":["I want to know how my asset utilization and maintenance costs compare to similar companies in my industry","I need to justify capital spending on new equipment by showing our assets are older than industry average","I want to identify which asset categories are underperforming relative to peer benchmarks"],"best_for":["Finance and operations leaders seeking to benchmark asset performance against peers","Capital planning teams justifying equipment replacement budgets to executives","Organizations in competitive industries where asset efficiency directly impacts margins"],"limitations":["Benchmark data is anonymized and aggregated; no visibility into specific competitor portfolios","Benchmarks are only available for asset classes with sufficient sample size (minimum 50 customers); niche asset types lack peer data","Quarterly update frequency means benchmarks lag current market conditions by 3+ months","Benchmarking requires opt-in data sharing; customers can exclude specific asset categories from aggregation"],"requires":["Minimum 6 months of asset data in Asseti platform","Opt-in consent to share anonymized portfolio metrics","Industry and company size classification"],"input_types":["anonymized asset portfolio data (aggregated across customers)","asset class, industry, company size, geography"],"output_types":["benchmark reports (depreciation rates, utilization, maintenance costs by asset class)","peer comparison dashboard (your metrics vs. industry median/percentiles)","gap analysis (areas where your portfolio underperforms benchmarks)","optimization recommendations based on peer best practices"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_5","uri":"capability://data.processing.analysis.asset.classification.schema.customization.and.validation","name":"asset classification schema customization and validation","description":"Framework that allows customers to define custom asset classification hierarchies (e.g., asset type, subtype, cost center, location, business unit) and validation rules (e.g., 'equipment in manufacturing must have a maintenance schedule'). The system enforces classification consistency across the portfolio and prevents invalid asset records from being created or synced. Custom schemas are stored as JSON configurations and can be versioned, enabling schema evolution without data loss.","intents":["I need to organize my assets using my company's specific classification scheme, not a generic one","I want to enforce data quality rules so that critical asset attributes are always populated","I need to change my asset classification structure as my business evolves"],"best_for":["Large enterprises with complex asset hierarchies spanning multiple business units and geographies","Specialized industries (healthcare, manufacturing, utilities) with domain-specific asset classification requirements","Organizations migrating from legacy asset systems with existing classification schemes"],"limitations":["Schema customization requires technical configuration; no low-code UI for non-technical users","Changing classification hierarchies retroactively requires data migration; no automatic remapping of existing assets","Validation rules are limited to field-level constraints; no cross-asset or temporal validation logic","Custom schemas are not shared across customers; each organization maintains its own classification structure"],"requires":["JSON schema definition expertise or IT support","Clear understanding of desired asset classification hierarchy","Data migration plan if changing existing classification structure"],"input_types":["JSON schema definitions (asset attributes, hierarchies, validation rules)","asset records to be validated against schema"],"output_types":["validated asset records","validation error reports (schema violations)","schema versioning and change history"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_6","uri":"capability://data.processing.analysis.bulk.asset.import.and.data.cleansing","name":"bulk asset import and data cleansing","description":"ETL pipeline that ingests asset data from CSV, Excel, or accounting software exports and performs automated data cleansing, deduplication, and enrichment. The system detects and flags data quality issues (missing required fields, invalid dates, duplicate asset IDs) and provides a UI for manual correction before import. Enrichment includes geocoding of asset locations, standardization of asset descriptions, and lookup of depreciation parameters from industry databases.","intents":["I need to migrate asset data from my old system into Asseti without manual data entry","I have a spreadsheet of assets with inconsistent formatting and missing data; I need to clean it up before importing","I want to automatically populate depreciation parameters based on asset type and industry"],"best_for":["Organizations performing initial Asseti implementation with large existing asset portfolios","Finance teams managing ad-hoc asset uploads from multiple sources","Companies consolidating asset data after M&A or system migrations"],"limitations":["Bulk import is asynchronous; large datasets (10,000+ assets) may take 30+ minutes to process","Data enrichment (geocoding, depreciation lookup) requires external API calls; accuracy depends on asset description quality","Deduplication logic is rule-based (matching on asset ID, description, cost); manual review required for fuzzy matches","No support for hierarchical asset structures (parent-child relationships); flat imports only"],"requires":["Source data in CSV, Excel, or accounting software export format","Mapping of source columns to Asseti asset fields","Valid API credentials for enrichment services (optional)"],"input_types":["CSV or Excel files with asset data","accounting software exports (QuickBooks, Xero)","JSON or XML asset feeds"],"output_types":["imported asset records","data quality report (missing fields, invalid data, duplicates)","enrichment results (geocoding, depreciation parameters)","import error log with remediation guidance"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_7","uri":"capability://automation.workflow.asset.disposal.and.salvage.value.tracking","name":"asset disposal and salvage value tracking","description":"Workflow that manages the end-of-life process for assets, including disposal method selection (scrap, donation, sale, trade-in), salvage value estimation, and gain/loss calculation on disposal. The system tracks disposal transactions, generates required accounting entries (removal of asset and accumulated depreciation, recognition of gain/loss), and maintains a disposal history for audit purposes. Salvage value estimates are based on asset type, condition, and market conditions.","intents":["I need to properly account for asset disposals and calculate gains/losses for financial reporting","I want to track which assets have been disposed and ensure they are removed from the fixed asset register","I need to estimate salvage value for assets I'm planning to sell or scrap"],"best_for":["Finance teams managing asset retirements and disposals","Organizations with high asset turnover (e.g., vehicle fleets, IT equipment)","Companies seeking to optimize salvage value realization through better disposal planning"],"limitations":["Salvage value estimates are based on historical data and market indices; actual realized values may differ significantly","Disposal workflow does not integrate with procurement or logistics systems; no tracking of physical asset movement","Gain/loss calculations assume straight-line depreciation; does not account for alternative depreciation methods","No integration with scrap dealers or resale platforms; salvage value must be manually entered or estimated"],"requires":["Asset master data with acquisition cost and accumulated depreciation","Disposal method selection (scrap, donation, sale, trade-in)","Estimated or actual salvage value"],"input_types":["asset ID and current book value","disposal method and date","estimated or actual salvage value","disposal notes (condition, reason for disposal)"],"output_types":["disposal transaction record","gain/loss calculation","accounting entries (GL postings)","disposal history and audit trail"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_8","uri":"capability://data.processing.analysis.asset.location.tracking.and.geospatial.visualization","name":"asset location tracking and geospatial visualization","description":"System that maintains asset location data (latitude/longitude, facility, building, floor, room) and visualizes asset distribution on interactive maps and facility floor plans. The platform supports bulk location updates via GPS data, barcode scanning, or manual entry, and tracks location history for audit purposes. Geospatial queries enable filtering assets by location and identifying assets in high-risk zones (e.g., flood-prone areas, seismic zones).","intents":["I want to know where all my assets are located across multiple facilities","I need to identify assets in high-risk locations (e.g., flood zones) for insurance and disaster planning","I want to track asset movements and location history for audit purposes"],"best_for":["Organizations with geographically distributed assets across multiple facilities","Companies managing assets in high-risk environments (healthcare, manufacturing, utilities)","Facility management teams needing visibility into asset locations for maintenance planning"],"limitations":["Location data accuracy depends on GPS signal quality; indoor locations require manual entry or barcode scanning","Geospatial visualization is limited to 2D maps and basic floor plans; no 3D facility models","Location history is retained indefinitely; no automatic purging of old location records","No integration with asset tracking hardware (RFID, BLE beacons); location updates are manual or via GPS"],"requires":["Asset location data (latitude/longitude or facility/building/room)","Facility floor plan data (optional, for visualization)","GPS-enabled devices or barcode scanning infrastructure (optional)"],"input_types":["asset ID and location (coordinates, facility, building, room)","GPS data from mobile devices","barcode scan data","facility floor plan images"],"output_types":["geospatial map visualization","facility floor plan with asset overlays","location history and audit trail","geospatial queries (assets by location, location by asset)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_asseti__cap_9","uri":"capability://data.processing.analysis.depreciation.method.flexibility.and.tax.optimization","name":"depreciation method flexibility and tax optimization","description":"Framework that supports multiple depreciation methods (straight-line, declining balance, sum-of-years-digits, units-of-production) and enables customers to apply different methods for book vs. tax purposes. The system calculates depreciation under each method and generates reports showing the tax impact of method selection. Optimization recommendations suggest depreciation methods that minimize tax liability while maintaining GAAP compliance.","intents":["I need to use different depreciation methods for book and tax purposes","I want to understand the tax impact of different depreciation method choices","I need to optimize depreciation to minimize tax liability while staying compliant"],"best_for":["Tax departments seeking to optimize depreciation strategies","Finance teams managing assets with varying useful lives and salvage values","Organizations in jurisdictions with specific depreciation requirements (e.g., Section 179, bonus depreciation)"],"limitations":["Tax optimization recommendations are based on simplified assumptions; actual tax impact depends on specific tax situation and jurisdiction","Does not account for tax credits (e.g., investment tax credit) or special depreciation rules (e.g., Section 179, bonus depreciation)","Depreciation method changes require retroactive recalculation; no automatic adjustment of prior-period depreciation","Units-of-production method requires manual entry of production/usage units; no integration with production systems"],"requires":["Asset cost, useful life, and salvage value","Selected depreciation methods (book and tax)","Tax jurisdiction and applicable rules"],"input_types":["asset master data (cost, useful life, salvage value)","depreciation method selection","production/usage units (for units-of-production method)"],"output_types":["depreciation schedules by method","book vs. tax depreciation comparison","tax impact analysis","optimization recommendations"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["Integration with asset tracking system or IoT sensors that emit usage metrics","Historical maintenance and operational records (minimum 6 months)","Connection to accounting software for baseline depreciation parameters","Active QuickBooks Online or Xero subscription with API access enabled","Admin-level API credentials (OAuth 2.0 tokens)","GL account mapping configuration (asset, accumulated depreciation, expense accounts)","Cost center master data and GL account mappings","Asset-to-cost-center assignments","Usage percentages for shared assets (optional)","Asset book value and accumulated depreciation"],"failure_modes":["Requires 6-12 months of historical usage data to train accurate models; early-stage deployments rely on industry benchmarks","Model accuracy degrades for niche or custom asset types with insufficient training data in the platform's dataset","Does not account for catastrophic failure modes or sudden market disruptions (e.g., technology obsolescence)","Sync latency is 15-60 minutes depending on polling frequency; real-time bidirectional sync not supported","Custom GL account mappings require manual configuration per customer; no auto-detection of account structure","Does not support multi-entity consolidation or intercompany asset transfers across QuickBooks instances","Xero API rate limits (60 calls/minute) can cause sync delays during bulk asset uploads","Shared cost allocation requires manual entry of usage percentages; no automatic calculation based on actual usage","Cost center changes are not retroactive; prior-period allocations cannot be adjusted","No integration with time tracking or usage monitoring systems to derive allocation percentages","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"ecosystem":0.2,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=asseti","compare_url":"https://unfragile.ai/compare?artifact=asseti"}},"signature":"7Vl+JFcY4HKBgd4wFGFvN+5foEupWawza3GoK2FTbYFAXiq3wtq5sBJuphnMSxeLGmwpViEYCLuuwCs1+4CjCw==","signedAt":"2026-06-20T06:57:09.384Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/asseti","artifact":"https://unfragile.ai/asseti","verify":"https://unfragile.ai/api/v1/verify?slug=asseti","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}