Subquadratic

Subquadratic builds advanced AI decision models for enterprise workflows, offering the SubQ Snap long‑context multimodal model and SubQ Small language model. Their platform enables structured, high‑token decision making, integrates with enterprise tools, and provides APIs for developers to embed decision intelligence into applications. Founded by researchers and engineers, Subquadratic focuses on real‑world enterprise use cases with extensive context handling.

Subquadratic is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Enterprise, Decision Models, and Long Context.

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

Subquadratic’s developer surface includes authentication, documentation, engineering blog, pricing, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

30.8/100 thin ▲ 7.4 Agent 22/100 agent aware Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

2 APIs

Company Artificial Intelligence Enterprise Decision Models Long Context

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 30.8/100 · thin

Contract Quality 5.6 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 8.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.5 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 22/100 · 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 0 / 8

Request/Response Examples 7 / 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

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 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 Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →

10 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 26.4 — up to +18.4 composite points Ask about this →
Developer Ergonomics scores 23.8 — up to +15.2 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/subq/apis.yml: open an issue on github.com/api-evangelist/subq 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.

Subquadratic API

API for Subquadratic's AI decision models and platform services. Documentation is hosted at docs.subq.ai and the API is accessed via subq.ai endpoints.

Subquadratic API

Subquadratic API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist (2026-10-19); not the provider's own document.

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Subquadratic

9 quoted statements, read from Subquadratic's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Subquadratic

24 quoted statements, read from Subquadratic's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Subquadratic

5 quoted statements, read from Subquadratic's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Subquadratic

3 quoted statements, read from Subquadratic's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Subquadratic

1 quoted statement, read from Subquadratic's own page on 2026-11-10.

LICENSE

Semantic Vocabularies 1

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

Subq Context

5 classes · 17 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Subquadratic API Rules

12 rules · 10 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 5

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

DeleteV1FilesFileidResponse

3 properties

JSON SCHEMA

GetV1FilesFileidResponse

8 properties

JSON SCHEMA

PostV1FilesResponse

3 properties

JSON SCHEMA

PostV1ResponsesResponse

5 properties

JSON SCHEMA

PostV1SystemoneResponse

3 properties

JSON SCHEMA

Security Posture 2

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

Subquadratic Authentication

1 scheme

SECURITY

Subquadratic Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

AIPreferences

AIPreferences

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: subq
name: Subquadratic
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://subq.ai/images/introducing-subq.png
description: Subquadratic builds advanced AI decision models for enterprise workflows, offering the SubQ Snap long‑context
  multimodal model and SubQ Small language model. Their platform enables structured, high‑token decision making, integrates
  with enterprise tools, and provides APIs for developers to embed decision intelligence into applications. Founded by researchers
  and engineers, Subquadratic focuses on real‑world enterprise use cases with extensive context handling.
url: https://raw.githubusercontent.com/api-evangelist/subq/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-19 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Company
- Artificial Intelligence
- Enterprise
- Decision Models
- Long Context
tags_raw:
- Company
- AI
- Enterprise
- DecisionModels
- LongContext
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/subq-rules.yml
- type: JSONLD
  url: json-ld/subq-context.jsonld
- type: Vocabulary
  url: vocabulary/subq-vocabulary.yml
- type: DataModel
  url: data-model/subq-data-model.yml
- type: Authentication
  url: authentication/subq-authentication.yml
- type: Conformance
  url: conformance/subq-conformance.yml
- type: LLMsTxt
  url: llms/subq-llms.txt
- type: Hosts
  url: hosts/subq-hosts.yml
- type: Vendors
  url: vendors/subq-vendors.yml
- type: TrustCenter
  url: https://trust.subq.ai/
- type: DomainSecurity
  url: security/subq-domain-security.yml
- type: Website
  url: https://subq.ai/
- type: Documentation
  url: https://docs.subq.ai/
- type: Blog
  url: https://subq.ai/blog
- type: Pricing
  url: https://subq.ai/pricing
- type: TermsOfService
  url: https://subq.ai/terms
- type: PrivacyPolicy
  url: https://subq.ai/privacy-policy
- type: UsageTerms
  url: terms/subq-terms-of-service.yml
- type: DataProcessing
  url: privacy/subq-privacy-policy.yml
- type: Eligibility
  url: eligibility/subq-eligibility.yml
- type: AIPreferences
  url: ai-preferences/subq-ai-preferences.yml
- type: DataLicense
  url: data-license/subq-data-license.yml
apis:
- name: Subquadratic API
  description: API for Subquadratic's AI decision models and platform services. Documentation is hosted at docs.subq.ai and
    the API is accessed via subq.ai endpoints.
  humanURL: https://docs.subq.ai/
  baseURL: null
  aid: subq:subquadratic-api
- aid: subq:subq-api
  name: Subquadratic API
  description: 'Subquadratic API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist
    (2026-10-19);

    not the provider''s own document.'
  humanURL: https://docs.subq.ai/endpoints/files-api
  baseURL: https://api.subq.ai
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/subq-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/subq-post-v1-systemone-response-schema.json
  - type: JSONSchema
    url: json-schema/subq-get-v1-files-fileid-response-schema.json
  - type: JSONSchema
    url: json-schema/subq-delete-v1-files-fileid-response-schema.json
  - type: JSONSchema
    url: json-schema/subq-post-v1-responses-response-schema.json
  - type: JSONSchema
    url: json-schema/subq-post-v1-files-response-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  method: derived
  generated: '2026-10-19'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company publishes developer documentation but serves no machine-readable contract from it
  evidence:
  - url: https://subq.ai/
    status: 200
x-enrichment:
  date: '2026-10-19'
  status: enriched
  artifacts_added: 22
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Subquadratic API — frequently asked questions

Does Subquadratic have an API?

Yes. APIs.io lists 2 APIs from Subquadratic, including Subquadratic API and Subquadratic API.

Is there an OpenAPI specification for the Subquadratic API?

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

How do I authenticate with the Subquadratic API?

Subquadratic uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Subquadratic Authentication.

Is the Subquadratic API ready for AI agents?

Subquadratic has a Kin Score of 30.8 out of 100 (thin) and an Agent Readiness score of 22.2 (agent-aware), scored by API Evangelist on 2026-11-13.

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