elytron-in

Elytron Labs builds AI‑powered infrastructure for e‑commerce merchants, offering tools like Pollen and DripSync that enable product recommendation integration with AI agents and automated image generation. The company helps online retailers enhance product discovery, feed management, and visual content through AI, supporting platforms such as Shopify, WooCommerce, Google, and Meta.

elytron-in is listed with 1 API on the APIs.io network. Tagged areas include Company, AI, E-commerce, SaaS, and Retail.

elytron-in’s developer surface includes documentation and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

12.3/100 emerging Agent 22/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API 1 MCP Servers

CompanyAIE-commerceSaaSRetail

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 12.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.8 / 9

Regulatory Posture 2.7 / 15

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 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 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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 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
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 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 9.5 — up to +18.1 composite points
Access Clarity scores 21.1 — up to +15.8 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/elytron-in/apis.yml: open an issue on github.com/api-evangelist/elytron-in 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 →

APIs 1

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

Elytron Labs API

API documentation for Elytron Labs AI‑powered e‑commerce tools.

MCP Servers 1

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

elytron-in MCP Server

Remote MCP server at pollen.elytron.in.

MCP SERVER

Security Posture 1

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

Elytron In Domain Security

TLSv1.3

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: elytron-in
name: elytron-in
image: https://elytron.in/wp-content/themes/elytron/img/underwing-hero.png?v=2
description: Elytron Labs builds AI‑powered infrastructure for e‑commerce merchants, offering tools like Pollen and DripSync
  that enable product recommendation integration with AI agents and automated image generation. The company helps online retailers
  enhance product discovery, feed management, and visual content through AI, supporting platforms such as Shopify, WooCommerce,
  Google, and Meta.
url: https://artifacts.apis.io/elytron-in/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- E-commerce
- SaaS
- Retail
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/elytron-in-llms.txt
- type: MCPServer
  url: mcp/elytron-in-mcp.yml
- type: WellKnown
  url: well-known/elytron-in-well-known.yml
- type: Hosts
  url: hosts/elytron-in-hosts.yml
- type: Vendors
  url: vendors/elytron-in-vendors.yml
- type: DomainSecurity
  url: security/elytron-in-domain-security.yml
- type: Website
  url: https://elytron.in/
- type: PrivacyPolicy
  url: https://elytron.in/privacy-policy
- type: TermsOfService
  url: https://elytron.in/terms-of-service
- type: Documentation
  url: https://elytron.in/underwing/
apis:
- name: Elytron Labs API
  description: API documentation for Elytron Labs AI‑powered e‑commerce tools.
  humanURL: https://elytron.in/underwing/
  baseURL: null
  aid: elytron-in:elytron-labs-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Documentation pages are rendered via JavaScript and contain no machine‑readable OpenAPI spec.
  evidence:
  - url: https://elytron.in/underwing/
    status: 200
  checked: '2026-10-30'
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

elytron-in API — frequently asked questions

Does elytron-in have an API?

Yes. APIs.io lists 1 API from elytron-in, including Elytron Labs API.

Does elytron-in have an MCP server?

Yes. APIs.io lists 1 MCP server for elytron-in: Remote MCP server at pollen.elytron.in.

Is the elytron-in API ready for AI agents?

elytron-in has a Kin Score of 12.3 out of 100 (emerging) and an Agent Readiness score of 22.2 (agent-aware), scored by API Evangelist on 2026-10-31.

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