alchemylab-sh

Alchemy Lab is a software studio that builds a portfolio of AI‑enhanced products. Their offerings include GM Grimoire, an AI narrator for Foundry VTT; Horizon, a daily AI landscape briefing service; ArtistAlly, a convention‑organizing tool; JMD, an automated job‑search tracker; and upcoming projects like Stitchbook and SCP Researcher. The studio emphasizes human‑crafted content, refusing AI‑generated art, and operates with a small, collaborative team of developers and AI agents.

alchemylab-sh publishes 2 API contracts indexed on the APIs.io network, including Horizon API API, and 1 more. Tagged areas include Company, AI, Software, Studio, and Products.

The alchemylab-sh catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

🌐 Visit website 📡 Profile data on GitHub

24.1/100 emerging Agent 21/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract

CompanyAISoftware StudioProducts

Kin Score

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

Composite quality — 24.1/100 · emerging

Contract Quality 12.1 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 1.2 / 11

Contract Governance 2.2 / 10

Discoverability 5.6 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 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 0 / 5

Registration Without a Human 0 / 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 0.0 — up to +20.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Operational Transparency scores 10.5 — up to +11.6 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/alchemylab-sh/apis.yml: open an issue on github.com/api-evangelist/alchemylab-sh 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 2

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

Horizon API

Full-depth, key-gated access to Horizon's aggregated AI-industry corpus — LLM-scored news, semantic search, a cited RAG answer endpoint, an incremental delta feed, regional lens...

Horizon API API

Full-depth, key-gated access to Horizon's aggregated AI-industry corpus — LLM-scored news, semantic search, a cited RAG answer endpoint, an incremental delta feed, regional lens...

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Alchemylab Sh Context

1 classes · 12 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

alchemylab-sh API Rules

16 rules · 14 errors 1 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

ContentItem

12 properties

JSON SCHEMA

Security Posture 1

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

Alchemylab Sh Domain Security

TLSv1.3

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Conformance

DataModel

ErrorCatalog

Access & Security 2

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

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: alchemylab-sh
name: alchemylab-sh
image: https://alchemylab.sh/og.png
description: Alchemy Lab is a software studio that builds a portfolio of AI‑enhanced products. Their offerings include GM
  Grimoire, an AI narrator for Foundry VTT; Horizon, a daily AI landscape briefing service; ArtistAlly, a convention‑organizing
  tool; JMD, an automated job‑search tracker; and upcoming projects like Stitchbook and SCP Researcher. The studio emphasizes
  human‑crafted content, refusing AI‑generated art, and operates with a small, collaborative team of developers and AI agents.
url: https://artifacts.apis.io/alchemylab-sh/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-29 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-29'
modified: '2026-10-29'
tags:
- Company
- AI
- Software
- Studio
- Products
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/alchemylab-sh-rules.yml
- type: JSONLD
  url: json-ld/alchemylab-sh-context.jsonld
- type: Vocabulary
  url: vocabulary/alchemylab-sh-vocabulary.yml
- type: Conformance
  url: conformance/alchemylab-sh-conformance.yml
- type: DataModel
  url: data-model/alchemylab-sh-data-model.yml
- type: ErrorCatalog
  url: errors/alchemylab-sh-problem-types.yml
- type: LLMsTxt
  url: llms/alchemylab-sh-llms.txt
- type: SecurityTxt
  url: well-known/alchemylab-sh-horizon-security.txt
- type: WellKnown
  url: well-known/alchemylab-sh-well-known.yml
- type: Hosts
  url: hosts/alchemylab-sh-hosts.yml
- type: Vendors
  url: vendors/alchemylab-sh-vendors.yml
- type: DomainSecurity
  url: security/alchemylab-sh-domain-security.yml
- type: Website
  url: https://alchemylab.sh/
apis:
- name: Horizon API
  description: Full-depth, key-gated access to Horizon's aggregated AI-industry corpus — LLM-scored news, semantic search,
    a cited RAG answer endpoint, an incremental delta feed, regional lenses (china, korea, japan, eu), briefing history, and
    webhooks.
  humanURL: https://horizon.alchemylab.sh/
  baseURL: https://horizon.alchemylab.sh
  aid: alchemylab-sh:horizon-api
- aid: alchemylab-sh:horizon-api-api
  name: Horizon API API
  description: 'Full-depth, key-gated access to Horizon''s aggregated AI-industry corpus — LLM-scored news, semantic search,
    a cited RAG answer

    endpoint, an incremental delta feed, regional lenses (china, korea, japan, eu), briefing history, and webhooks. Authenticate
    with an API key:

    `Authorization: Bearer hzn_live'
  humanURL: https://horizon.alchemylab.sh/openapi.json
  baseURL: https://horizon.alchemylab.sh
  properties:
  - type: OpenAPI
    url: openapi/_original/alchemylab-sh-api-openapi.json
  - type: JSONSchema
    url: json-schema/alchemylab-sh-content-item-schema.json
x-enrichment:
  date: '2026-10-29'
  status: enriched
  artifacts_added: 15
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

alchemylab-sh API — frequently asked questions

Does alchemylab-sh have an API?

Yes. APIs.io lists 2 APIs from alchemylab-sh, including Horizon API and Horizon API API.

Is there an OpenAPI specification for the alchemylab-sh API?

Yes. APIs.io indexes 1 OpenAPI specification for alchemylab-sh, each linked for download from this page.

How do I authenticate with the alchemylab-sh API?

alchemylab-sh uses bearer-token authentication.

Is the alchemylab-sh API ready for AI agents?

alchemylab-sh has a Kin Score of 24.1 out of 100 (emerging) and an Agent Readiness score of 20.7 (agent-aware), scored by API Evangelist on 2026-10-31.

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