Connect Kamina financial wellness data to your stack — under user authorization
Kamina is the Ecuadorian fintech that raised US$3.2M in pre-seed funding to launch an AI-powered financial prevention platform, and in October 2025 became the first Ecuadorian startup admitted to the Mastercard Start Path Emerging Fintech program. Our team mirrors that integration surface so you can pull Kamina's financial wellness index, debt portfolio, expense and income breakdowns, and Kami AI-coach signals into your bank, credit union or analytics product.
- Wellness & behavioral data — financial health index, prevention alerts, behavioral cohort tags driven by 1,000+ risk variables.
- Personal balance sheet — itemized debts, monthly expenses, income streams, savings goals.
- Embedded or hosted — replicate the partner-bank embedded pattern, or call our hosted endpoints with pay-per-call billing.
Data available for integration
Kamina captures structured personal-finance state at the household level, then enriches it with behavioral and AI-derived signals. The table below shows the data classes our integration exposes, where each one originates inside the Kamina app, the granularity you can request, and the typical downstream use that buys it.
| Data type | Source (in-app screen / capability) | Granularity | Typical use |
|---|---|---|---|
| Financial wellness index | "Diagnóstico" / Financial diagnosis flow | Per user, daily snapshot + 12-month history | Risk-based pricing, retention scoring, dashboards |
| Debt portfolio | "Mis deudas" / debt manager | Per debt: issuer, principal, APR, due date, status | Debt consolidation offers, collections strategy |
| Monthly expenses | "Gastos" / expense tracker | Transaction-level, MCC/category tagged | Budget coaching, marketing segmentation |
| Income streams | "Ingresos" module | Recurring vs. variable, monthly amount | Affordability checks, KYC enrichment |
| Savings & goals | Goal-setting screen | Goal type, target, progress % | Cross-sell of savings or insurance products |
| Coach interactions | "Kami" AI coach chat | Intent label + sentiment, no raw text by default | Behavioral analytics, churn prediction |
| Prevention alerts | Early-warning engine (1,000+ variables) | Alert type, severity, recommended action | Compliance reporting, proactive outreach |
All data flows are gated by explicit user consent, and we ship a per-field minimization checklist so a buyer pulls only the columns its lawful basis covers. For partner banks already running the Kamina + Mastercard pilot, we can map these fields onto your existing core-banking schema (e.g. credit bureau identifiers, internal customer IDs) so reconciliation does not require a separate ETL job.
Typical integration scenarios
1. Partner-bank embedded wellness
A regulated bank in Mexico embeds the Kamina financial wellness index directly into its mobile app's "Cuida tu salud financiera" tab. Data & APIs: POST /v1/diagnosis/run returns the wellness score, contributing factors and an action plan, while GET /v1/alerts?since=… streams new prevention alerts. OpenFinance mapping: the score acts as a derived OpenFinance attribute that the bank can attach to its existing PFM and credit decisioning records under Mexico's Ley Fintech consent rules.
2. Underwriting affordability check
A digital lender enriches its credit application by pulling the applicant's Kamina debt portfolio and 90-day expense history. Data & APIs: GET /v1/debts returns each open balance with issuer and APR, GET /v1/expenses?from=…&to=… returns categorized transactions. OpenFinance mapping: the debt and expense feeds combine with bank-account aggregator data (e.g. Belvo) to compute a true debt-to-income ratio that meets the lender's affordability guidance.
3. Collections deflection
A collections team subscribes to Kamina's prevention-alert webhook so that, the moment a customer enters a "high stress" risk band, an empathic outreach playbook is triggered instead of a hard-call. Data & APIs: webhook event alert.created with payload {user_id, risk_band, contributing_factors, suggested_action}. OpenFinance mapping: aligns with consumer-protection guidance that emphasises proactive support before delinquency.
4. Cross-LATAM CRM sync
A multi-country fintech operating in Ecuador, Peru and Colombia centralises Kamina wellness signals in its CRM to coordinate financial-coaching campaigns. Data & APIs: nightly batch via POST /v1/exports/wellness producing a signed S3 URL; coach interaction summaries via GET /v1/coach/sessions. OpenFinance mapping: wellness data is treated as user-derived data, kept separate from raw transaction data so consent revocation does not invalidate other sources.
5. Regulatory reporting & audit
A bank runs a quarterly report on how prevention alerts converted into resolved cases. Data & APIs: GET /v1/reports/prevention?period=2026Q1 returns aggregate counts, segments and outcome metrics. OpenFinance mapping: the dataset is shaped to feed financial-inclusion KPIs that supervisors increasingly request for OpenFinance pilots.
Technical implementation
Below are representative request and response shapes for three of the most common endpoints. Authentication uses a short-lived bearer token issued after an OAuth-style consent step, mirroring how Kamina's mobile app authorizes its own session. Errors follow a single envelope with code, message and retry_after fields so retry logic stays uniform across endpoints.
Authentication & consent
POST /v1/auth/consent
Content-Type: application/json
{
"client_id": "of_lab_demo",
"user_external_id": "USR_42891",
"scopes": ["wellness.read", "debts.read", "expenses.read"],
"country": "MX",
"consent_text_version": "2026-05-01"
}
200 OK
{
"access_token": "ey...",
"refresh_token": "rf...",
"expires_in": 3600,
"consent_id": "cns_8a1c..."
}
Financial wellness diagnosis
GET /v1/diagnosis/latest
Authorization: Bearer <ACCESS_TOKEN>
200 OK
{
"user_id": "USR_42891",
"score": 64,
"band": "amber",
"trend_30d": -3,
"factors": [
{"name": "debt_to_income", "weight": 0.34, "value": 0.51},
{"name": "expense_volatility", "weight": 0.21, "value": 0.18},
{"name": "savings_ratio", "weight": 0.18, "value": 0.04}
],
"next_review_at": "2026-06-08"
}
Debt & expense export
GET /v1/exports/debts?format=json
Authorization: Bearer <ACCESS_TOKEN>
200 OK
{
"as_of": "2026-05-08T14:00:00-05:00",
"items": [
{"issuer": "Banco Pichincha", "type": "credit_card",
"balance": 1240.55, "currency": "USD",
"apr": 0.42, "due_date": "2026-05-25"},
{"issuer": "Diners Club", "type": "installment",
"balance": 800.00, "currency": "USD",
"apr": 0.31, "due_date": "2026-05-18"}
],
"page": {"next_cursor": null}
}
# Webhook (alert.created)
POST <your_callback>
{
"event": "alert.created",
"user_id": "USR_42891",
"risk_band": "red",
"contributing_factors": ["missed_due_date", "expense_spike_food"],
"suggested_action": "soft_outreach_v2"
}
Source code is delivered in Python and Node.js by default, with optional Go and Kotlin SDKs for partner-bank mobile teams. Every endpoint comes with a Postman collection and a contract-test suite that runs against a Kamina-style mock so your CI can keep proving the integration end-to-end.
Compliance & privacy
Regulatory alignment
Kamina operates in a region where OpenFinance is moving from voluntary to supervised. Our integrations align with Mexico's Ley para Regular las Instituciones de Tecnología Financiera (Ley Fintech, 2018) for consent and data-sharing, with Ecuador's monetary and financial code where Kamina is headquartered, and with Brazil's LGPD when users are present. For consumer-data protection we follow Mexico's LFPDPPP and, where European stakeholders are involved, GDPR Article 6 lawful-basis mappings.
Privacy controls shipped by default
- Versioned consent strings with revocation endpoint and audit log
- Field-level data minimization (a buyer cannot pull more than its scopes allow)
- Tokenized user IDs across environments — no national IDs in payloads
- Configurable retention windows with automated purge
- Rate-limited webhooks with HMAC signatures and replay protection
Data flow / architecture
The integration follows a four-node pipeline that keeps the regulated edge thin and the analytical edge rich: Kamina Client App (mobile diagnosis, debt entry, Kami coach) → OpenFinance Lab API gateway (consent, OAuth, scope enforcement, request signing) → Storage layer (per-tenant encrypted store with retention policies) → Analytics & partner outputs (REST pulls, webhooks, signed CSV exports, dashboard feeds).
- Edge: the gateway accepts only signed, scoped tokens and writes a consent receipt for every call.
- Storage: KMS-encrypted, partitioned by country to keep Ecuadorian and Mexican users in separate logical tenants.
- Outputs: a partner bank can choose REST (synchronous), webhooks (event-driven) or batch CSV (overnight) — same contract, different transport.
Market positioning & user profile
Kamina is positioned at the intersection of B2C financial wellness and B2B2C banking infrastructure. The direct app reaches mass-market consumers in Ecuador who want help getting out of debt, while the embedded API is sold to banks and credit unions that need a turnkey financial-health module. Founded in 2023 in Quito, the company has stated expansion plans for Peru and Colombia first, then Chile and Mexico, and counts Mastercard among its most visible partners after being selected from 500+ companies across 55 countries for the Start Path Emerging Fintech cohort. Device focus is split across Android and iOS, with Android dominating in core LATAM markets — which is why our delivered SDKs prioritize Android first while keeping iOS parity.
Screenshots
Tap any thumbnail to see a larger version. The screenshots below show Kamina's financial diagnosis, debt entry, expense tracker and Kami AI coach surfaces — they are the very screens our APIs mirror in structured form.
Similar apps & integration landscape
Teams that connect Kamina rarely run it alone — most blend it with at least one budgeting tool, one bank-aggregation API, and one legacy desktop tracker. The list below is descriptive, not a ranking; we frame each peer as part of the same OpenFinance ecosystem so partners can plan unified data flows.
YNAB (You Need A Budget)
A long-running zero-based budgeting app holding category-level spending plans and goal balances. Users who also work with YNAB often need unified expense exports across both platforms so a single dashboard can show plan-vs-actual.
Goodbudget
Envelope-based budgeting app with shared household budgets, debt tracker and sync across devices. Goodbudget's debt module pairs well with Kamina's APR-aware debt portfolio for couples-coaching scenarios.
Monefy
A widely installed expense tracker with simple categorized spending records. When users move from Monefy to Kamina, our migration helper can ingest a Monefy CSV export and seed Kamina's expense API.
Buxfer
Web-first personal finance tool with bank sync for Mexican institutions. Buxfer's transaction feed is a natural complement to Kamina's wellness index — accounts go in, score comes out.
Money Manager — Budget Planner
One of Mexico's top-downloaded finance apps in 2025; primarily local, manual entry. Pairing it with Kamina lets users keep their familiar entry UI while gaining AI prevention alerts on top.
Waleeto
A LATAM-focused expense tracker with AI-powered budgeting and multi-currency support. Sits in the same wellness-coaching segment as Kamina, with Waleeto leaning toward planning and Kamina toward prevention.
Mint
Historic US PFM that defined the category. A reference architecture point — many partner banks ask "we want a Mint-style experience but with Kamina's prevention logic," which is exactly the embedded pattern we deliver.
Fintonic
Spanish-language PFM popular in Spain and Mexico, blending bank aggregation with credit offers. Customers often pull Fintonic transaction feeds into the same OpenFinance bus that consumes Kamina wellness scores.
Belvo
A LATAM Open Finance API platform, not a consumer app, but central to the same ecosystem. Belvo provides raw bank-account data while Kamina contributes the derived wellness layer; many integrations call both.
Kamino
A separate financial-management product (different company) often searched alongside Kamina. We disambiguate the two during scoping so naming-similar searches do not confuse the integration brief.
What we deliver
Deliverables checklist
- API specification (OpenAPI / Swagger) for wellness, debts, expenses and webhooks
- Protocol and auth flow report (OAuth-style consent, token rotation, device binding)
- Runnable source code in Python and Node.js (Go and Kotlin available on request)
- Postman collection and contract-test suite that runs in your CI
- Compliance pack: consent template, retention policy, scope-to-lawful-basis mapping
- Optional embedded SDK for partner-bank mobile apps (Mastercard Start Path style)
About us
OpenFinance Lab is an independent studio focused on fintech and OpenData API integration. Our team includes engineers from banks, payment networks, mobile-protocol analysis and cloud platforms. We have shipped end-to-end financial APIs across LATAM, EMEA and Southeast Asia, and we work under either source-code delivery from $300 or pay-per-call hosted billing — clients pick whichever lifecycle fits.
- Source code delivery from $300 — runnable API source + full documentation; pay after acceptance.
- Pay-per-call API billing — hosted endpoints, no upfront cost, ideal for usage-based pricing teams.
- Full pipeline: protocol analysis → build → validation → compliance.
Contact
For quotes or to submit your target app and requirements, open our contact page:
Engagement workflow
- Scope confirmation — pick the data classes you need (wellness, debts, expenses, alerts, coach signals).
- Protocol analysis & API design (2–5 business days).
- Build, internal validation and contract tests (3–8 business days).
- Documentation, code samples, Postman collection (1–2 business days).
- Typical first delivery: 5–15 business days; bank-side approvals can extend timelines.
FAQ
What Kamina data can I integrate via OpenFinance APIs?
How long does a Kamina API delivery take?
How do you stay compliant with Latin American data laws?
Can you replicate the Kamina + Mastercard Start Path embedded model?
📱 Original app overview (appendix)
Kamina is an Ecuadorian fintech founded in 2023 and headquartered in Quito. It uses artificial intelligence, behavioral sciences and advanced data science to help people get out of financial crises and reduce delinquencies. Through the Kamina app, users complete a financial diagnosis, receive personalised recommendations, log expenses, debts and income, and interact with Kami — a financial coach that delivers psychologically-aware guidance.
The company has built what it describes as the first LLM model for personal finance grounded in prevention and psychological support, and powers an early-warning engine with more than 1,000 prevention variables. In December 2024 Kamina announced a strategic alliance with Mastercard to drive financial wellness and inclusion in Ecuador, and in October 2025 it became the first Ecuadorian startup admitted to Mastercard's Start Path Emerging Fintech program. The team has raised US$3.2M in pre-seed funding and is preparing expansion across Peru, Colombia, Chile and Mexico.
- Personalised financial diagnosis and wellness index
- Expense, debt and income tracking with categorization
- "Kami" AI coach with prevention-oriented prompts
- Embedded API integration with banks and credit unions
- Behavioral early-warning alerts using 1,000+ variables
Kamina is a third-party product; this page describes how authorized OpenFinance integrations can connect to its data surface and is not affiliated with Kamina, Mastercard, or any partner bank.