Personetics

Personetics is a Cognitive Banking platform that helps banks and financial institutions deliver AI-driven, financial-data-personalized customer engagement and money management. Its products analyze customer transaction data in real time to surface personalized insights, proactive financial guidance, automated savings and cash-flow programs, and self-driving finance experiences embedded inside a bank's own mobile and web channels. Personetics serves hundreds of banks and financial institutions across roughly 30 global markets, reaching an estimated 150 million banking customers, and positions itself as a way for banks to deepen and monetize customer relationships. The platform is delivered as enterprise software integrated into a bank's digital banking stack rather than as a public self-serve developer API; developer and integration material lives in a gated Personetics Documentation Hub.

Personetics is profiled on the APIs.io network. Tagged areas include Company, Banking, Fintech, Financial Services, and Artificial Intelligence.

Personetics’ developer surface includes engineering blog, documentation, support, signup flow, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.0/100 minimal ▬ flat Agent 12/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Banking Fintech Financial Services Artificial Intelligence PersonalizationCognitive BankingMoney Management Customer EngagementSelf-Driving Finance

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 10.0/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Banking & Open Finance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 23.7 — up to +15.3 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/personetics/apis.yml: open an issue on github.com/api-evangelist/personetics to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Red Hat Certified Ecosystem (certified partner containers + certified OpenShift operators)	standard	30.0 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Personetics MCP Server

Remote MCP server at docs.personetics.com over HTTP.

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Personetics Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Blog

BlogRSS

Website

Blog

Source (apis.yml)

aid: personetics
name: Personetics
description: Personetics is a Cognitive Banking platform that helps banks and financial institutions deliver AI-driven, financial-data-personalized
  customer engagement and money management. Its products analyze customer transaction data in real time to surface personalized
  insights, proactive financial guidance, automated savings and cash-flow programs, and self-driving finance experiences embedded
  inside a bank's own mobile and web channels. Personetics serves hundreds of banks and financial institutions across roughly
  30 global markets, reaching an estimated 150 million banking customers, and positions itself as a way for banks to deepen
  and monetize customer relationships. The platform is delivered as enterprise software integrated into a bank's digital banking
  stack rather than as a public self-serve developer API; developer and integration material lives in a gated Personetics
  Documentation Hub.
url: https://raw.githubusercontent.com/api-evangelist/personetics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://personetics.com/wp-content/uploads/2025/03/Personetics-The-Cognitive-Banking-Company.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Banking
- Fintech
- Financial Services
- Artificial Intelligence
- Personalization
- Cognitive Banking
- Money Management
- Customer Engagement
- Self-Driving Finance
tags_raw:
- Company
- Banking
- Fintech
- Financial Services
- Artificial Intelligence
- Personalization
- Cognitive Banking
- Money Management
- Customer Engagement
- Self-Driving Finance
- Financial-Services
apis: []
common:
- url: https://personetics.com/blog/
  type: Blog
- url: https://personetics.com/blog/feed/
  type: BlogRSS
- type: DomainSecurity
  url: security/personetics-domain-security.yml
- type: Website
  url: https://personetics.com
- type: Documentation
  url: https://docs.personetics.com
- type: Blog
  url: https://personetics.com/blog
- type: Support
  url: https://personetics.com/contact
- type: SignUp
  url: https://personetics.com/request-a-demo
- type: PrivacyPolicy
  url: https://personetics.com/privacy-policy
- type: LLMsTxt
  url: llms/personetics-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 3
  pass: local-v1

Personetics API — frequently asked questions

Does Personetics have an MCP server?

Yes. APIs.io lists 1 MCP server for Personetics: Remote MCP server at docs.personetics.com over HTTP.

Is the Personetics API ready for AI agents?

Personetics has a Kin Score of 10.0 out of 100 (minimal) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Every operation they expose

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How their score was established

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