Auditable by construction
Last updated: May 21, 2026 · A research artifact that cannot be audited is a liability, not an asset. Finapolis is built so every insight, every score, and every target price ships with the data, sources, and reasoning that produced it, available for inspection from minute 1 through year 10.
How the pipeline produces institutional-quality research
Finapolis research runs on a 5-stage pipeline that turns raw, dispersed financial data into structured, opinionated output. Inside Reporter, those 5 stages are wrapped in an 8-step Multi-LLM process that doesn't just write, it interrogates itself before publishing.
Specialized agents handle retrieval, analysis, synthesis, and validation independently, then cross-check each other. Every visible claim is decomposed, sourced, and verified at the level of the individual number. The result is research with the depth of a sell-side desk and the transparency a sell-side desk has never offered.
Data ingestion
Finapolis aggregates financial data from institutional-grade providers: Polygon.io, Tiingo, FRED, and the SEC EDGAR API. Each data point is timestamped and tagged with its source the moment it enters the system, so every figure carries an audit trail back to where it came from.
Raw data is stored alongside the processed version, so any historical analysis can be recreated exactly as it was generated. The models always work from the most current data without losing the earlier state.
Key principle: source preservation
Every data point keeps a permanent link to its original source, timestamp, and version. That immutable record is the foundation of the auditability guarantee.
Agent processing
Rather than rely on a single model, Finapolis uses a multi-agent architecture in which each agent is specialized for a particular domain of financial analysis.
Each agent works independently but logs its reasoning, the sources it consulted, and a confidence level for every conclusion. That compartmentalization improves accuracy through specialization and creates a clear attribution chain you can inspect during a compliance review or an investment committee discussion.
Key principle: transparent reasoning
Every generated insight ships with a log of the reasoning steps, the data consulted, and the alternative interpretations considered, so you can judge not just the conclusion but the quality of the analysis behind it.
Cross-validation
Before an insight reaches you, it is cross-validated. Multiple agents analyze the same question independently, and their conclusions are compared for consistency. Disagreements trigger more analysis and are flagged for human review when they need it.
Findings are also checked against multiple sources. A revenue figure from an SEC filing, for example, is benchmarked against the earnings call transcript and analyst consensus.
Source attribution
Every insight, metric, and recommendation carries explicit source attribution. Open any analysis and you can drill down to the exact SEC filing, data feed, or third-party research behind each element.
That granularity does real work: it lets you verify independently during due diligence, it supports compliance documentation, and it shows the output is synthesized from verifiable sources rather than guessed at.
Auditability
Every analysis can be recreated exactly as it was generated, even months or years later. Finapolis keeps versioned snapshots of the data, the model state, and the processing logs.
That consistency over time is what regulatory compliance, internal reviews, and investment committee documentation depend on. The audit logs are immutable and tamper-evident, which gives compliance officers and outside auditors a record they can trust.
Limitations of our methodology
The pipeline is built for transparency and accuracy, but it has limits, and we would rather state them plainly. However sophisticated they are, the models are probabilistic systems that find patterns in historical data.
Source attribution and auditability show how a conclusion was reached. They do not guarantee it is correct. Data providers publish errors, regulatory filings contain misstatements, and even a cross-validated insight can be wrong if the assumptions or the underlying data are flawed.
Finapolis is a research tool designed to support professional judgment, not replace it. Make every investment decision with appropriate due diligence, risk assessment, and advice from a qualified professional.
Read the methodology, then run it on a stock
Run the pipeline yourself. Every output ships with the data, sources, and reasoning that produced it.