Identity aggregation and knowledge graphs
Bluwhale Profile connects identities, Bluwhale KG models their relationships and Bluwhale DB stores the data. Together they give applications context across on-chain and off-chain activity.
FINANCIAL DATA API
Financial Data API for Applications and AI Agents
Build financial applications and AI agents with Bluwhale’s Financial Data API. It turns permissioned activity into structured insights your application can use to personalize a financial summary or an agent’s response.
BUILT WITH BLUWHALE
The architecture behind Bluwhale’s financial intelligence
Bluwhale connects identity, financial activity and relationships in a knowledge graph. Its models use that context to generate insights for applications and agents.
Start with Bluwhale's public documentation, scope your workflow with Bluwhale for Developers and connect it to Agent Store distribution. Review date: October 11, 2026.
Architecture sources: Bluwhale introduction and Oceanum and verifier-node roles. Reviewed October 30, 2026.
User embeddings and AI inference
User embeddings represent patterns in those relationships. Bluwhale’s models use them to generate insights, predictions and recommendations that applications can access through APIs.
Confidential execution and verification
Oceanum (OXN), Bluwhale’s TEE-native EVM Layer 1, handles confidential execution and produces hardware attestations. Bluwhale verifier nodes check those attestations.
HOW IT WORKS
From a financial question to an integration requirement
For a financial application, a number needs context: which account it belongs to, what it represents and when it was recorded. Use Bluwhale’s developer resources to establish that meaning before turning the data into an insight or an agent input.
01
Choose a useful output
Define the question your product will answer. A consolidated account view, financial summary and agent task each require different records and levels of detail.
02
Match fields to that output
List the fields your output requires, including account or wallet identity, source, currency and observation time. Confirm which fields the selected Bluwhale integration returns, which may be absent and how your application should handle incomplete records.
03
Preserve source context
Design your application to retain relevant currencies, identifiers and timing information. This helps users understand the evidence behind a summary and helps your team investigate unexpected results.
04
Validate the integration with Bluwhale
Start with the public documentation and your use case. Confirm the current API reference, authentication method, SDK availability and test access with the developer team. Evaluate normal, missing-data and revoked-access responses before moving your workflow into production.
Financial Data API workflow
01Product question
02API records
03Financial context
04Application output
A conceptual workflow. Available capabilities depend on the selected integration.
PRACTICAL USE CASES
Build experiences that use financial context
Use Bluwhale’s financial context to answer one question for your users. A balance-change explanation, for example, needs an account, a time window and the records that account for the change.
Financial data an agent can explain
Illustrative input: account A, USD 1,250 at 16:00 UTC, plus a posted USD 50 debit at 16:05. With no other movement, the expected balance is USD 1,200. Keep both record IDs and timestamps with the answer. If the debit is pending, show it separately and withhold the posted-balance explanation until it clears. This models a reporting contract; confirm the fields and scopes available in your integration.
Personalized explanations
Use financial context to make an assistant’s answers more relevant to the user. Keep the link between the explanation and the records used in your application design.
Agent inputs
Supply a defined agent workflow with the context it needs. Limit the information to the task and treat any permission to act as a separate part of the experience.
YOUR QUESTIONS, ANSWERED
Financial Data API questions
Understand the workflow and choose your next step with Bluwhale.
What does a financial data API provide?
A financial data API exposes financial information in a programmatic format. Bluwhale focuses on user-permissioned financial context and connects its developer data offering with infrastructure for financial AI agents.
How is this different from account aggregation?
Account aggregation connects financial sources; the downstream application decides how to use their records. Bluwhale's intelligence layer adds a model for relating user context and exposing insights to applications and agents. Choose the connector and intelligence components your workflow actually requires.
Does Bluwhale provide market prices for every asset?
Bluwhale provides permissioned financial context for applications and agents. For market pricing, choose a quote source that covers the asset and update frequency your application needs.
Can I use the data in an AI application?
Bluwhale’s developer ecosystem connects financial data and agent infrastructure. Define your application’s required records and permissions, then use the developer resources to scope the workflow and supported tools.
EXPLORE BLUWHALE
Continue with the right financial experience
YOUR NEXT STEP
Give your application useful financial context
Bring one financial use case to Bluwhale: the output your users need, the sources it depends on and the permissions it requires. Review the documented intelligence model, then confirm the available integration and test requirements with the developer team.