Make financial APIs AI‑readable

Cube2 turns working financial APIs into a verified, AI-readable layer that automates the integration lifecycle, speeds product launches, powers agentic CX, and enables safe, auditable execution.

agent session with Cube2
// business intent, not endpoints
> create a new customer for Palomonte Labs Company

✓ intent resolved · Onboard Party
✓ workflow selected · Organization / Minimal Onboarding
✓ endpoint executed · POST /customer/v1/customers
✓ customer created · ID 12019

// full execution trace recorded
Works with your agents — chats, IDEs & MCP clients
Banking
Payments
Insurance
Lending
E-Commerce
Legacy cores

Agentic integration lifecycle

Integration Automation

Describe the connector or workflow you need. Agents use Cube2’s live-tested knowledge of the specific API implementation to generate, test, and review the integration code.

Dev support in chats & IDEs

Developers and partners ask questions where they work and get answers from the live layer, not stale PDFs or provider tickets.

Governed agent execution

Agents act through business intent while compliance teams review, customize, and audit the semantic layer behind every action.

One layer, technical truth and business intent

STEP 01

Give developers the technical truth

The MCP server holds everything technical — endpoints, payloads, validations, real behavior. Chat support and living docs stay aligned with it automatically.

> what fields does account opening actually require?
POST /accounts requires holder_id, product_code and currency. In production, branch_id is also validated — it's optional in the spec but rejected when missing. Source: acme-banking-v2 · live behavior.
STEP 02

Let agents act on business intent

The agentic API maps business semantics to your financial APIs. Users and agents say what they want — Cube2 resolves it into the right sequence of calls.

> open a new account
Resolved to: identity.verify → accounts.create → cards.issue. No endpoints, no payloads — the semantic layer decides the path.
STEP 03

Audit every action, end to end

Every agent action produces an execution trace: the intent, the semantic path, and each API call in order. Compliance sees exactly how agents interpret your business.

INTENTopen a new accountrecorded
MAPaccount_opening.v3approved path
CALLPOST /identity/verify200
CALLPOST /accounts201
TRACEtr_84c2 · immutablestored

Ready to get started?

Launch new products faster, reduce costs, and lower your dependency on external providers.

Cube2 Documentation

Welcome

Cube2 turns financial APIs into AI-readable infrastructure — capturing the operational knowledge developers and AI agents need to integrate and execute correctly, beyond what a raw API specification describes.

What Cube2 is

A financial API exposes endpoints, schemas, and status codes — but the knowledge to use it correctly lives in docs, code, support threads, and human expertise. Cube2 discovers, verifies, and structures that knowledge into a machine-readable layer for developers and AI agents.

A specification gives you
  • Endpoints and schemas
  • Field names and types
  • Status codes
Cube2 adds
  • Which call comes first, and why
  • What each field really expects
  • Which validations fire
  • How errors recover

Start here

Cube2 Solution

Cube2 is delivered through an MCP server that can be connected to any MCP-compatible agent. Before generating code or executing a workflow, the agent can ask Cube2 how to accomplish a specific business intent, such as opening an account, initiating a payment, or verifying a customer.

What Cube2 adds

  • Verified behavior — what the core actually accepts, rejects, and requires. Specifications often mark fields as optional that the platform truly enforces, or list values that are not really accepted. Cube2 records what the core actually enforces, so requests succeed on the first attempt instead of through trial and error.
  • Workflow context — how individual operations connect into complete business processes. The specification lists operations in isolation; Cube2 shows how they combine into real journeys — such as onboarding a customer end to end — including which step must run before another and how the result of one call feeds the next.
  • Business semantics — clearer meanings for vendor-specific fields and structures. Vendor names and codes describe how the platform stores data, not what it means for the business. Cube2 translates them into clear, business-oriented terms so teams can map their own data without decoding vendor jargon.
  • Specification drift — where the documentation is incomplete, inconsistent, or misleading. Over time, documentation and real behavior drift apart. Cube2 flags the places where a field's name, type, or description does not match what it actually does, so those traps are known up front rather than discovered in production.
  • Authentication behavior — the real access and security requirements. Beyond naming the security scheme, Cube2 captures what access actually requires in practice: how credentials are obtained, which scopes apply, and how sessions behave across a workflow.
  • Idempotency and retries — how duplicate requests and repeated operations behave. Networks fail and requests get retried. Cube2 documents which operations are safe to repeat, which create duplicates, and how to retry safely — so a retry never produces a second record or a double action.
  • Identifier lifecycle — how identifiers are created, related, and reused. Identifiers are produced by one call and consumed by many others. Cube2 explains where each identifier comes from, which are generated by the platform versus supplied by the caller, and how they tie the steps of a process together.
  • Operational limits — practical constraints such as pagination and safe request volumes. The specification rarely states the limits you hit in practice. Cube2 records constraints like how results are paginated and what request volumes are safe, so integrations are designed within real boundaries rather than discovering them under load.
  • Error intelligence — how failures are returned, interpreted, and normalized. Errors come back in platform-specific shapes that are hard to read. Cube2 explains how failures are returned and what they mean, and normalizes them into a consistent form so error handling stays predictable across operations.

In practice, Cube2 turns a technical API contract into reliable, business-ready integration knowledge.

Integration MCP Server Tools

Cube2 delivers this knowledge through an MCP server with tools organized around three stages of integration development: discover, map, and generate.

ToolWhat it does
Discover
start_guideSession entry point; starts the guided integration flow.
list_workflowsMaps a business intent to the correct ordered workflow chain and its steps.
get_operationOne operation's field contract: fields, required flags, tested values, business meaning.
get_api_behaviorVerified API behavior: auth, environments, identifiers, idempotency, error codes, flows.
get_domain_valuesReference/enum tables — class codes, titles, address types, identification types.
Map
guide_attribute_mappingInteractive step-by-step mapping driver (start → identify → refine → generate).
map_attributesReturns the full attribute-mapping instructions — the core mapping process.
build_mapping_tablesRenders matched request/response attributes into formatted tables plus a summary.
add_required_attributesAdds required and conditionally-required fields to the mapping.
Generate
classify_attribute_mapping_typeClassifies each mapping into 6 types (Direct, Format, EnumLookup, ReverseEnum, DynamicLookup, MissingValue) with a transformation strategy.
generate_codeTurns a finished mapping into production integration code.

Case Studies

Belgium-based cross-border payments company

How Belmoney accelerates partner API integrations and onboarding with Cube2

Live Cube2 configurations run on real financial workflows, with a repeatable configuration process across partner remittance APIs.

We have delivered 20 automated integrations and can now complete new integrations at a rate of two per day.

2/day
two integrations per day
90%
lower support workload
An Amsterdam-based banking modernization company

How Plumery connects modern banking platforms to legacy cores faster with Cube2

Cube2 helps Plumery turn complex core banking APIs into reusable knowledge for faster connector development and bank-facing agentic experiences. This reduces the engineering effort required for each integration and gives Plumery a scalable way to support more cores and banking partners through its Workbench.

The innovation center of a leading bank in Türkiye

How Akbank Lab explores agent-assisted shopping with embedded lending through Cube2

Akbank Lab raised an agent-assisted shopping scenario: a customer asks an AI agent to find a product within a budget and explore a personal loan instead of paying by card.

In the proposed Akbank use case, Cube2 would provide the execution layer that translates business intent into the relevant loan and onboarding API workflows, including their required steps and validations. When those APIs change, Cube2 can automatically update its layer to reflect the new behavior.

Financial context for AI agents

How Neumetria brings each person’s financial context to AI agents with Cube2

Neumetria turns financial activity into a current, explainable understanding of each person, giving AI agents context to consider before they respond or propose an action. Cube2 maps Neumetria’s API and workflows into an MCP context layer, helping agents retrieve and use that context.

MCP server · API documentation · Chat support

Cube2 brings live-tested API knowledge into your development workflow. Connect its MCP server to Claude or Cursor to build integrations with verified payloads, workflow rules, and semantic context.

Demo conference · Pitch event

Palomonte Labs was selected as a FinovateFall 2026 demo company for its work making financial APIs ready for AI agents.

Founder and CEO Betiana Darderes was also selected to pitch Cube2 at IMPACT Funders & Founders 2026.

Palomonte Labs on stage at FinovateFall 2026Watch the Finovate demo

Pricing

Start free, then choose a plan based on your API scope, team size, and usage. For large or complex APIs, contact us about Enterprise.

Cube2
Developer
US$25/mo
For one developer building a small API integration. Includes 50 points and 15 MCP calls per month.
MOST TEAMS START HERE
Team
US$100/mo
For a team building a larger API integration. Includes 100 points and 50 MCP calls per month.
Enterprise
Custom pricing
For large APIs, complex integrations, and organization-wide use. API scope, MCP call volume, and security configuration are tailored to your needs.
Compare plans
API scopeApproximately 1 entity, 30 attributes, and up to 6 endpointsApproximately 80 attributes and 6 endpointsCustom scope for large APIs
Points included50 points100 pointsCustom
Included MCP calls15/month50/month, shared across the teamCustom volume
Additional point priceFrom US$0.50 per pointFrom US$0.50 per pointCustom
Additional calls1 point/call1 point/callCustom volume pricing
Platform access1 userUp to 5 users sharing the same MCP serverUnlimited users
Developer & agent supportConfigure Cube2 for any agent that supports MCPConfigure Cube2 for any agent that supports MCPConfigure Cube2 for any agent that supports MCP
Security configuration——Tailored to your organization
API specifications & Postman collectionsIncludedIncludedIncluded
Documentation generation—IncludedIncluded
Cube2 updates——Included
Execution traces——Included
Semantic Layer Control——Included
SubscriptionUS$50/month; first Developer plan freeUS$100/monthCustom pricing

How points work

Cube2 API discovery uses points based on the size of the API. An entity with approximately 30 attributes and up to 6 endpoints uses about 50 points. Unused points accumulate from month to month and can be used to expand an API discovery scope or cover MCP calls beyond the monthly allowance. Each additional call uses 1 point.

Additional pointsPrice
25 pointsUS$15
50 pointsUS$25
100 pointsUS$50
Start free

Invest in making
financial APIs agent-ready

Financial APIs power critical workflows, but the knowledge needed to use them correctly is scattered across documentation, support conversations, provider teams, and individual experts.

Cube2 makes that knowledge AI-readable. It learns from a working API and turns its behavior, validations, dependencies, and workflows into a governed layer that developers and AI agents can use.

Pre-seed round · Cube2 by Palomonte Labs
$750K
Raising on a SAFE · $5M post-money cap
20automated integrations delivered
2/daycapacity for new integrations
Livecross-border payment workflows with BelMoney
2enterprise prospects

One governed knowledge layer, reusable across teams, integrations, and agents.

The problem

API documentation does not explain how to complete the job

A developer can read an endpoint description and still need to ask: Which steps come first? What does this validation mean? How does the provider handle an exception?

Those answers often live outside the docs. Teams have to rediscover them for each integration and rely on provider support to move forward. AI agents face the same gap: they need verified context to use a financial API correctly.

The solution

From business intent to the correct execution path

Cube2 starts with the working API. It captures verified behavior and turns it into structured knowledge about the steps, rules, and dependencies behind a financial workflow.

A developer or AI agent can start with what they need to accomplish. Cube2 guides the integration and its execution, and can update its knowledge layer as the API changes.

Positioning

Why this layer matters

API generation tools turn definitions into SDKs and AI tools. Connectors link products to external services. Orchestration platforms control execution.

Cube2 provides the operational knowledge those systems need: verified behavior, validations, dependencies, and workflows mapped to the business outcome a user wants to achieve.

Business model

How the business grows

Cube2 begins with a paid configuration of a financial API, followed by a recurring subscription. Revenue can expand across an enterprise’s teams, APIs, and workflows. Agent execution can add pricing based on call volume.

Strategic partnerships can bring in more API providers. The Cube2 Builder is in restricted beta; its planned self-service path and developer site will make onboarding more repeatable.

A team with deep fintech expertise and a prior founder exit

Founder & CEO
Betiana Darderes

A former tech lead with a background in object-oriented research and API design, and hands-on experience across more than 50 financial integrations and over 10 U.S. core banking systems.

Co-Founder & CTO
Ramiro González Maciel

Previously co-founded and exited a technology consulting company. He brings experience in backend architecture, ACH and wire payments, and financial infrastructure.

Our target is 8–12 enterprise accounts.

Pre-seed round

Raising $750K on a SAFE with a $5M post-money cap

Over the next 18 months, we will use the funding primarily to advance the Cube2 Builder Platform and execute our go-to-market plan: bring in new customers, expand live deployments, grow recurring enterprise subscriptions, and developer portal.

Interested in the round?

Build the missing knowledge layer with us

Cube2 makes existing financial APIs understandable and usable by the next generation of developers and AI agents.

Cube2 is currently in restricted beta. Access to the builder is limited to invited users. We’ve noted your interest and will reach out with an invite.