Build a financial summary AI agent around one repeatable job: turn the accounts a user selects into a dated, easy-to-read financial report. Start with permissioned records, calculate totals in a consistent reporting currency, and give the model the evidence it needs to explain the result. A focused summary is a practical first product because its inputs and outputs are straightforward to evaluate.
Bluwhale’s Agent Store connects specialized financial agents with a developer ecosystem. For a builder, the opportunity is to pair useful financial context with a clear task: a weekly balance review, an account-change explanation or a concise portfolio update. This guide walks through an example design for that first release.
1. Define the summary your user wants
Write the job in one sentence before choosing a model. For example: “Every Friday, summarize balances and changes across the accounts I select, with a source date for each account.” This sentence identifies the audience, schedule, reporting scope and output. It also gives your team an objective way to decide which features belong in the first version.
- Audience: an individual reviewing selected personal accounts.
- Inputs: authorized balances, positions and the records needed for the comparison period.
- Output: a short overview, an account breakdown and an explanation of material changes.
- Access: read the selected records and generate the report.
- Success: totals reconcile with the source records and every material observation has a traceable basis.
Choose the name of the report to match its scope. “Selected-account assets” describes an asset-only view. “Net worth” includes both assets and liabilities within the stated reporting boundary. “Portfolio performance” needs a return calculation that accounts for cash flows and their timing. These labels help users understand the value of the report immediately.
2. Give the agent structured financial context
Keep the calculation layer separate from the explanation layer. Your application should normalize records and compute totals; the model should explain those results in clear language. This gives you stable arithmetic, a consistent reporting method and an output your team can inspect.
Preserve the original record alongside normalized fields. If a holding is valued in euros and the report uses dollars, retain the euro value and the conversion details. For digital assets, use a network and token identifier alongside the display symbol. This makes the report easier to reconcile as account data and prices change.
Use Bluwhale’s Financial Data API as the starting point for financial context, and map the records needed for your chosen reporting task. The companion bank and wallet connection guide explains how account scope and source identity fit into that design.
3. Calculate first, then explain the result
Prepare a dated snapshot and a comparison snapshot using the same account boundary. Match transfers between included accounts, separate deposits from investment changes, and retain the evidence for each movement. Supply the model with those prepared facts and the report’s definitions.
Illustrative account values: a bank account has $2,000, an exchange account has $1,500, and the selected credit-card balance is a $500 liability. Assume these are all the assets and liabilities in this example’s reporting scope, valued in dollars at the same cutoff. Selected assets total $3,500; selected liabilities total $500; net worth for that scope is $3,000.
If $300 then moves from the bank to the exchange, with no fee or market movement, the bank holds $1,700 and the exchange holds $1,800. Assets still total $3,500. The useful explanation is that money moved between two included accounts while the combined asset total stayed the same.
A concise report can open with the headline figures, explain the transfer, then show the account breakdown. Link each figure to its dated source record. This is more useful than a long narrative because the reader can see both the result and the reason for it.
4. Design an output people can use
- Headline: the selected account scope, reporting date and three or four key figures.
- Change summary: the largest movements, separated into transfers, contributions, withdrawals, fees and valuation changes.
- Account detail: balances or holdings with their source dates.
- Follow-up: a clear next step, such as refreshing a connection or opening a detailed account view.
Keep the first screen short. Use familiar financial terms, define any custom metric, and let readers expand the evidence. A weekly summary and a transaction history serve different purposes; the summary should help the user decide what to inspect next.
5. Test the complete reporting workflow
Save a small reference set with expected totals and explanations. Run it whenever the model, prompt, record mapping or valuation method changes. Include a matched internal transfer, a currency conversion, a duplicated source record and a change in authorization. These checks measure the agent’s actual reporting job.
Apply access checks in the application and tool layer. Keep source text as data, and enforce the permitted account scope independently of generated language. For a summary-only release, configure the tools for reading and reporting. OWASP’s agentic application framework provides a useful reference for reviewing tool access and agent behavior.
6. Build your first financial agent with Bluwhale
Bring your first reporting task, account requirements and sample output to Bluwhale’s developer platform. Its financial data and agent ecosystem gives your team a connected place to start the build. Then prepare a listing that explains the agent’s purpose, required inputs and output, and explore the Agent Store as your discovery and distribution path.
Common questions
What data does a financial summary agent need?
It needs the records required for its stated report: selected accounts, dated balances or positions, currencies and source references. A change report also needs comparable historical records; a net worth report includes the liabilities in its reporting scope.
Can the first version work with read-only data?
Yes. A read-only agent can explain balances, organize account changes and generate a recurring summary. This is a useful product scope with a clear output to test.
Where should calculations happen?
Use application logic for arithmetic, conversions and reconciliation. Give the model those prepared results and ask it to explain them with references to the underlying records.
Sources and further reading
Reviewed October 11, 2026.