Hello Retail

Hello Retail is a personalization and product recommendation platform for e-commerce. It provides a REST API and JavaScript SDK for integrating personalized product recommendations, search, and behavioral tracking into retail websites.

Hello Retail publishes 4 API contracts indexed on the APIs.io network, including Customer Bias API, Pages API, Recommendations API, and 1 more. Tagged areas include E-Commerce, Personalization, Product Recommendations, and Retail.

The Hello Retail catalog on APIs.io includes 1 Spectral governance ruleset.

Hello Retail’s developer surface includes engineering blog, authentication, developer portal, signup flow, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.6/100 thin ▬ flat Agent 38/100 agent ready Front door AI 5/6 prominent Heartbeat 95/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 1 MCP Servers

E-Commerce Personalization Product Recommendations Retail

Kin Score

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

Composite quality — 29.6/100 · thin

Contract Quality 9.7 / 19

Developer Ergonomics 3.2 / 15

Access Clarity 3.2 / 15

Operational Transparency 0.8 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 1.8 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 38/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 6 / 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 Horizontal (data, software, accessibility, platform) 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

6 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 21.1 — up to +15.8 composite points
Developer Ergonomics scores 21.4 — up to +15.7 composite points
Operational Transparency scores 7.9 — up to +12.0 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/hello-retail/apis.yml: open an issue on github.com/api-evangelist/hello-retail 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
E-commerce Extension Marketplaces (Adobe Commerce / Magento, Shopware)	builds-on	17.2 (thin)	1	-

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 3

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)

OpenAPI

measured — observed by APIs.io (published)

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

Hello Retail Customer Bias API

Retrieve weighted customer preference data for personalization.

Hello Retail Pages API

Page-driven product listings with filtering and sorting.

Hello Retail Recommendations API

Managed and unmanaged product recommendation requests.

Hello Retail Search API

On-site search across products, categories, brands, and content.

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Hello Retail Customer Bias API

OPEN COLLECTION

Hello Retail Customer Bias Pages API

OPEN COLLECTION

Hello Retail Customer Bias Recommendations API

OPEN COLLECTION

Hello Retail Customer Bias Search API

OPEN COLLECTION

Hello Retail API

OPEN COLLECTION

MCP Servers 1

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

Hello Retail MCP Server

Remote MCP server at core.helloretail.com over HTTP.

MCP SERVER

Hello Retail API pricing

Not yet checked against Hello Retail's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Hello Retail's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Hello Retail Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Hello Retail Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Hello Retail

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Hello Retail Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Hello Retail API Rules

62 rules · 60 errors 1 warnings 1 info

SPECTRAL

Security Posture 2

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

Hello Retail Authentication

http · 1 scheme

SECURITY

Hello Retail Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Hello Retail Agentic Access

4 operations · 1 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

Signup

Signup

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Blog

Blog

LinkedIn

Website

Website

Source (apis.yml)

aid: hello-retail
name: Hello Retail
description: Hello Retail is a personalization and product recommendation platform for e-commerce. It provides a REST API
  and JavaScript SDK for integrating personalized product recommendations, search, and behavioral tracking into retail websites.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/hello-retail.png
x-docs-platform: mkdocs
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: github-pages
tags:
- E-Commerce
- Personalization
- Product Recommendations
- Retail
url: https://raw.githubusercontent.com/api-evangelist/hello-retail/refs/heads/main/apis.yml
created: '2025-02-06'
modified: '2026-10-06'
specificationVersion: '0.23'
apis:
- aid: hello-retail:hello-retail-customer-bias-api
  name: Hello Retail Customer Bias API
  description: Retrieve weighted customer preference data for personalization.
  humanURL: https://developer.helloretail.com/sdk/
  baseURL: https://core.helloretail.com
  tags:
  - Customer Bias
  properties:
  - type: OpenAPI
    url: openapi/hello-retail-customer-bias-api-openapi.yml
  - type: Documentation
    url: https://developer.helloretail.com/sdk/
  - type: GettingStarted
    url: https://developer.helloretail.com/getting-started/
  - type: Authentication
    url: https://developer.helloretail.com/authentication/
- aid: hello-retail:hello-retail-pages-api
  name: Hello Retail Pages API
  description: Page-driven product listings with filtering and sorting.
  humanURL: https://developer.helloretail.com/sdk/
  baseURL: https://core.helloretail.com
  tags:
  - Pages
  properties:
  - type: OpenAPI
    url: openapi/hello-retail-pages-api-openapi.yml
  - type: Documentation
    url: https://developer.helloretail.com/sdk/
  - type: GettingStarted
    url: https://developer.helloretail.com/getting-started/
  - type: Authentication
    url: https://developer.helloretail.com/authentication/
- aid: hello-retail:hello-retail-recommendations-api
  name: Hello Retail Recommendations API
  description: Managed and unmanaged product recommendation requests.
  humanURL: https://developer.helloretail.com/sdk/
  baseURL: https://core.helloretail.com
  tags:
  - Recommendations
  properties:
  - type: OpenAPI
    url: openapi/hello-retail-recommendations-api-openapi.yml
  - type: Documentation
    url: https://developer.helloretail.com/sdk/
  - type: GettingStarted
    url: https://developer.helloretail.com/getting-started/
  - type: Authentication
    url: https://developer.helloretail.com/authentication/
- aid: hello-retail:hello-retail-search-api
  name: Hello Retail Search API
  description: On-site search across products, categories, brands, and content.
  humanURL: https://developer.helloretail.com/sdk/
  baseURL: https://core.helloretail.com
  tags:
  - Search
  properties:
  - type: OpenAPI
    url: openapi/hello-retail-search-api-openapi.yml
  - type: Documentation
    url: https://developer.helloretail.com/sdk/
  - type: GettingStarted
    url: https://developer.helloretail.com/getting-started/
  - type: Authentication
    url: https://developer.helloretail.com/authentication/
common:
- type: Plans
  url: plans/hello-retail-plans-pricing.yml
- type: RateLimits
  url: rate-limits/hello-retail-rate-limits.yml
- type: FinOps
  url: finops/hello-retail-finops.yml
- url: https://helloretail.com/en/blog/
  type: Blog
- type: AgenticAccess
  url: agentic-access/hello-retail-agentic-access.yml
- type: DomainSecurity
  url: security/hello-retail-domain-security.yml
- type: Authentication
  url: authentication/hello-retail-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/helloretail
- type: Portal
  url: https://developer.helloretail.com/
- type: Website
  url: https://www.helloretail.com/
- type: Signup
  url: https://app.helloretail.com/signup
- type: LlmsText
  url: https://helloretail.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Hello Retail API — frequently asked questions

Does Hello Retail have an API?

Yes. APIs.io lists 4 APIs from Hello Retail, including Hello Retail Customer Bias API, Hello Retail Pages API and Hello Retail Recommendations API, and 1 more.

Is there an OpenAPI specification for the Hello Retail API?

Yes. APIs.io indexes 4 OpenAPI specifications for Hello Retail, each linked for download from this page.

How do I authenticate with the Hello Retail API?

Hello Retail documents its authentication (http · 1 scheme). The details are profiled on APIs.io as Hello Retail Authentication.

How much does the Hello Retail API cost?

APIs.io lists 3 pricing plans for Hello Retail, with each plan's price, limits and inclusions under Pricing on this page.

Does Hello Retail have an MCP server?

Yes. APIs.io lists 1 MCP server for Hello Retail: Remote MCP server at core.helloretail.com over HTTP.

Is the Hello Retail API ready for AI agents?

Hello Retail has a Kin Score of 29.6 out of 100 (thin) and an Agent Readiness score of 38.4 (agent-ready), scored by API Evangelist on 2026-11-06.

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