{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_daloopa","slug":"daloopa","name":"Daloopa","type":"product","url":"https://www.daloopa.com","page_url":"https://unfragile.ai/daloopa","categories":["data-analysis"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_daloopa__cap_0","uri":"capability://finance.unstructured.financial.document.parsing","name":"unstructured-financial-document-parsing","description":"Extracts structured financial data from unstructured sources including PDFs, earnings call transcripts, regulatory filings, and other financial documents. Uses AI to identify and parse relevant financial metrics, figures, and statements that traditional data aggregators cannot easily process.","intents":["I need to quickly pull financial data from a company's earnings call transcript","I want to extract key metrics from multiple regulatory filings without manual entry","I need to parse financial information from unstructured PDFs and documents"],"best_for":["investment banks","private equity analysts","institutional investors","financial due diligence teams"],"limitations":["Requires documents to be in digital format (not scanned images without OCR)","Accuracy may vary depending on document quality and financial statement complexity","Learning curve for configuring extraction rules for specific document types"],"requires":["access to financial documents in supported formats","platform integration with existing workflows","training on document type configuration"],"input_types":["PDF documents","earnings call transcripts","regulatory filings","financial statements","unstructured text"],"output_types":["structured financial data","extracted metrics and figures","normalized financial statements"],"categories":["finance","data-extraction","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_1","uri":"capability://finance.source.attribution.and.auditability","name":"source-attribution-and-auditability","description":"Provides traceable source attribution for every extracted data point, showing exactly where in the original document each piece of information came from. This creates an auditable trail that satisfies regulatory and stakeholder requirements for data defensibility.","intents":["I need to prove to regulators where every data point in my financial model came from","I want to create an audit trail for my due diligence process","I need to defend my financial assumptions to investors or compliance teams"],"best_for":["regulated financial institutions","investment banks","private equity firms","compliance and risk teams","institutional investors"],"limitations":["Requires original source documents to be retained and accessible","Auditability is only as strong as the underlying document quality","Cannot create attribution for data that is ambiguous or unclear in source"],"requires":["original source documents","regulatory or stakeholder audit requirements","integration with compliance workflows"],"input_types":["extracted financial data","source documents"],"output_types":["audit trail documentation","source attribution reports","compliance-ready data lineage"],"categories":["finance","compliance","audit"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_10","uri":"capability://finance.investment.thesis.data.gathering","name":"investment-thesis-data-gathering","description":"Systematically gathers and organizes financial data needed to support investment theses, including historical performance, growth metrics, profitability trends, and forward-looking indicators from multiple sources.","intents":["I need to gather comprehensive financial data to support my investment thesis","I want to organize historical and forward-looking data for investment analysis","I need to build a data foundation for my investment decision"],"best_for":["portfolio managers","investment analysts","hedge fund managers","private equity investors","venture capital investors"],"limitations":["Requires clear definition of relevant metrics for the investment thesis","Data gathering is only the first step; analysis and interpretation require human judgment","Completeness depends on availability of source documents"],"requires":["investment thesis definition","relevant metric identification","access to financial sources"],"input_types":["financial statements","earnings calls","regulatory filings","market data","industry reports"],"output_types":["organized financial datasets","metric summaries","trend analysis","investment data packages"],"categories":["finance","investment","analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_11","uri":"capability://finance.financial.risk.and.red.flag.identification","name":"financial-risk-and-red-flag-identification","description":"Identifies potential financial risks, red flags, and anomalies in extracted financial data by comparing metrics against historical trends, peer benchmarks, and predefined risk indicators.","intents":["I need to identify financial red flags in a company before investing","I want to spot unusual trends or anomalies in financial data","I need to assess financial risk and stability of a potential investment"],"best_for":["risk managers","due diligence teams","credit analysts","compliance teams","investment committees"],"limitations":["Risk identification depends on predefined indicators and thresholds","May generate false positives requiring human judgment","Cannot predict unforeseen risks or black swan events"],"requires":["historical financial data","peer benchmark data","risk indicator definitions","threshold configuration"],"input_types":["financial metrics","historical data","peer data","trend data"],"output_types":["risk alerts","red flag reports","anomaly identification","risk assessment summaries"],"categories":["finance","risk-management","analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_2","uri":"capability://finance.financial.model.data.population","name":"financial-model-data-population","description":"Automatically populates financial models with extracted data, eliminating manual data entry and reducing the time required to build and update financial models for analysis, valuation, and forecasting.","intents":["I want to automatically fill in my financial model with data instead of typing it manually","I need to quickly update multiple financial models with the latest company data","I want to reduce errors from manual data entry in my financial analysis"],"best_for":["financial analysts","investment professionals","M&A teams","valuation specialists","portfolio managers"],"limitations":["Requires financial models to be in compatible formats","May require custom mapping for non-standard model structures","Accuracy depends on quality of extracted data"],"requires":["financial models in supported formats","extracted financial data","model field mapping configuration"],"input_types":["structured financial data","financial model templates","extracted metrics"],"output_types":["populated financial models","updated spreadsheets","ready-to-analyze models"],"categories":["finance","automation","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_3","uri":"capability://finance.multi.source.financial.data.consolidation","name":"multi-source-financial-data-consolidation","description":"Aggregates and consolidates financial data from multiple sources (earnings calls, filings, investor presentations, news) into a unified dataset, enabling comparative analysis and comprehensive financial intelligence gathering.","intents":["I need to gather financial data from multiple sources about a company for analysis","I want to consolidate data from different documents into one comprehensive view","I need to compare financial metrics across multiple sources to identify discrepancies"],"best_for":["due diligence teams","investment analysts","research teams","portfolio managers","M&A professionals"],"limitations":["Requires access to multiple source documents","May encounter conflicting data from different sources that requires manual reconciliation","Consolidation accuracy depends on consistent data extraction across sources"],"requires":["multiple financial documents and sources","data normalization rules","access to various document types"],"input_types":["earnings call transcripts","regulatory filings","investor presentations","news articles","financial statements"],"output_types":["consolidated financial datasets","unified metrics views","comparative analysis reports"],"categories":["finance","data-aggregation","analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_4","uri":"capability://finance.due.diligence.acceleration","name":"due-diligence-acceleration","description":"Streamlines the due diligence process by rapidly extracting, validating, and organizing financial information needed for M&A, investment, or portfolio analysis, reducing the time required for financial investigation from weeks to days.","intents":["I need to complete financial due diligence on a target company quickly","I want to accelerate my M&A analysis timeline","I need to rapidly assess financial health and risks for investment decisions"],"best_for":["M&A teams","private equity firms","investment banks","venture capital firms","corporate development teams"],"limitations":["Requires comprehensive source documents to be available","Cannot replace human judgment on complex financial or strategic issues","Effectiveness depends on document quality and completeness"],"requires":["access to target company financial documents","due diligence workflows and templates","integration with deal management systems"],"input_types":["financial statements","regulatory filings","earnings calls","business plans","historical financial data"],"output_types":["due diligence reports","financial summaries","risk assessments","valuation inputs"],"categories":["finance","m-and-a","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_5","uri":"capability://finance.financial.data.validation.and.reconciliation","name":"financial-data-validation-and-reconciliation","description":"Validates extracted financial data against source documents and identifies discrepancies, errors, or inconsistencies. Enables reconciliation of conflicting data points across multiple sources to ensure data quality and accuracy.","intents":["I need to verify that extracted data matches the source documents","I want to identify and flag data inconsistencies across multiple sources","I need to ensure data quality before using it in financial models"],"best_for":["financial analysts","compliance teams","quality assurance professionals","audit teams","risk management"],"limitations":["Validation rules must be configured for specific financial metrics","Cannot resolve ambiguous or genuinely conflicting source data","Requires access to original source documents for verification"],"requires":["extracted financial data","source documents","validation rule configuration","reconciliation workflows"],"input_types":["extracted financial data","source documents","historical data"],"output_types":["validation reports","discrepancy flags","reconciliation recommendations","data quality scores"],"categories":["finance","data-quality","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_6","uri":"capability://finance.earnings.call.intelligence.extraction","name":"earnings-call-intelligence-extraction","description":"Extracts key financial metrics, guidance, management commentary, and strategic insights from earnings call transcripts, converting unstructured spoken content into structured financial intelligence.","intents":["I need to quickly extract key metrics and guidance from an earnings call","I want to capture management commentary on financial performance and outlook","I need to identify material changes in guidance or strategic direction from earnings calls"],"best_for":["equity research analysts","portfolio managers","investment analysts","hedge fund managers","institutional investors"],"limitations":["Accuracy depends on transcript quality and clarity","May miss nuanced or implied guidance","Requires transcripts to be available in digital format"],"requires":["earnings call transcripts","financial metric definitions","guidance extraction rules"],"input_types":["earnings call transcripts","audio transcriptions"],"output_types":["extracted metrics","guidance summaries","management commentary","key takeaways"],"categories":["finance","research","data-extraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_7","uri":"capability://finance.regulatory.filing.data.extraction","name":"regulatory-filing-data-extraction","description":"Automatically extracts financial and non-financial data from regulatory filings (10-K, 10-Q, 8-K, prospectuses) and converts complex regulatory documents into structured, analyzable data.","intents":["I need to extract financial data from SEC filings without manual review","I want to quickly identify material changes disclosed in regulatory filings","I need to gather risk factors and legal disclosures from prospectuses"],"best_for":["compliance analysts","regulatory specialists","investment analysts","risk managers","legal teams"],"limitations":["Regulatory filing formats vary significantly across jurisdictions","Complex legal language may require human interpretation","Extraction accuracy depends on filing standardization"],"requires":["access to regulatory filings","filing type classification","regulatory data extraction rules"],"input_types":["SEC filings (10-K, 10-Q, 8-K)","prospectuses","regulatory documents","disclosure documents"],"output_types":["extracted financial data","risk factor summaries","material change alerts","compliance reports"],"categories":["finance","compliance","data-extraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_8","uri":"capability://finance.comparative.company.financial.analysis","name":"comparative-company-financial-analysis","description":"Enables rapid comparison of financial metrics across multiple companies by extracting and normalizing data from different sources, facilitating peer analysis, benchmarking, and competitive intelligence.","intents":["I need to compare financial metrics across peer companies","I want to benchmark a company's performance against competitors","I need to identify relative strengths and weaknesses through peer analysis"],"best_for":["equity research analysts","investment analysts","corporate strategy teams","competitive intelligence teams","portfolio managers"],"limitations":["Requires consistent data extraction across different companies and sources","Accounting differences between companies may require manual adjustment","Peer group definition and selection requires human judgment"],"requires":["financial data from multiple companies","data normalization rules","peer group definitions"],"input_types":["financial statements from multiple companies","regulatory filings","earnings call transcripts"],"output_types":["comparative analysis reports","peer benchmarking tables","competitive intelligence summaries","relative valuation metrics"],"categories":["finance","analysis","competitive-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_daloopa__cap_9","uri":"capability://finance.financial.metric.normalization.and.standardization","name":"financial-metric-normalization-and-standardization","description":"Normalizes and standardizes financial metrics extracted from different sources and accounting standards, enabling consistent comparison and analysis across companies, time periods, and jurisdictions.","intents":["I need to adjust financial metrics for accounting differences between companies","I want to normalize metrics across different reporting periods and standards","I need to make financial data comparable across international companies"],"best_for":["financial analysts","valuation specialists","accounting professionals","investment teams","research analysts"],"limitations":["Normalization rules must be configured for specific metrics and standards","Some adjustments require domain expertise and judgment","May not capture all nuanced accounting differences"],"requires":["extracted financial data","accounting standard definitions","normalization rule configuration"],"input_types":["extracted financial metrics","accounting data","financial statements"],"output_types":["normalized metrics","standardized financial data","adjustment documentation","comparable datasets"],"categories":["finance","data-processing","analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"low","permissions":["access to financial documents in supported formats","platform integration with existing workflows","training on document type configuration","original source documents","regulatory or stakeholder audit requirements","integration with compliance workflows","investment thesis definition","relevant metric identification","access to financial sources","historical financial data"],"failure_modes":["Requires documents to be in digital format (not scanned images without OCR)","Accuracy may vary depending on document quality and financial statement complexity","Learning curve for configuring extraction rules for specific document types","Requires original source documents to be retained and accessible","Auditability is only as strong as the underlying document quality","Cannot create attribution for data that is ambiguous or unclear in source","Requires clear definition of relevant metrics for the investment thesis","Data gathering is only the first step; analysis and interpretation require human judgment","Completeness depends on availability of source documents","Risk identification depends on predefined indicators and thresholds","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43333333333333335,"quality":0.86,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:30.282Z","last_scraped_at":"2026-04-05T13:23:42.537Z","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=daloopa","compare_url":"https://unfragile.ai/compare?artifact=daloopa"}},"signature":"QxAzmcpDtDMqp6CzSeNgK2sFOUmjcAX5Z4CkMViUEkyBMkh5ICv4zp6jl5Los/U0RTN4C2ZOTArRdMgimad3BQ==","signedAt":"2026-06-20T02:21:43.555Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/daloopa","artifact":"https://unfragile.ai/daloopa","verify":"https://unfragile.ai/api/v1/verify?slug=daloopa","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"}}