mindflows-us

MindFlows provides a visual workflow and knowledge‑management platform that aggregates content from YouTube, Notion, Google Docs, PDFs and the web into a single space. Its AI Spark Search uses semantic AI to retrieve saved material by meaning, allowing users to locate videos, documents, and notes instantly. The service is aimed at individuals and teams who need to organize and recall scattered research and ideas.

mindflows-us is listed with 1 API on the APIs.io network. Tagged areas include Knowledge Management, Visual Workflow, and AI Search.

mindflows-us’ developer surface includes signup flow, getting-started guide, documentation, engineering blog, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.9/100 emerging Agent 0/100 human only Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API

Knowledge ManagementVisual WorkflowAI Search

Kin Score

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

Composite quality — 16.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
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
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

13 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 23.8 — up to +15.2 composite points
Access Clarity scores 34.2 — up to +13.2 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/mindflows-us/apis.yml: open an issue on github.com/api-evangelist/mindflows-us 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.

MindFlows API

API for MindFlows platform, documented at the interface docs page.

Security Posture 1

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

Mindflows Us Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: mindflows-us
name: mindflows-us
image: https://www.mindflows.us/images/og-image.png
description: MindFlows provides a visual workflow and knowledge‑management platform that aggregates content from YouTube,
  Notion, Google Docs, PDFs and the web into a single space. Its AI Spark Search uses semantic AI to retrieve saved material
  by meaning, allowing users to locate videos, documents, and notes instantly. The service is aimed at individuals and teams
  who need to organize and recall scattered research and ideas.
url: https://artifacts.apis.io/mindflows-us/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-31 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Knowledge Management
- Visual Workflow
- AI Search
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/mindflows-us-llms.txt
- type: Hosts
  url: hosts/mindflows-us-hosts.yml
- type: Vendors
  url: vendors/mindflows-us-vendors.yml
- type: SignUp
  url: https://www.mindflows.us/signup.html
- type: GitHubOrganization
  url: https://github.com/LogicLabsAI
- type: GettingStarted
  url: https://www.mindflows.us/docs/getting-started
- type: DomainSecurity
  url: security/mindflows-us-domain-security.yml
- type: Website
  url: https://mindflows.us/
- type: Documentation
  url: https://mindflows.us/docs.html
- type: Blog
  url: https://mindflows.us/blog.html
- type: TermsOfService
  url: https://mindflows.us/terms.html
- type: PrivacyPolicy
  url: https://mindflows.us/privacy.html
apis:
- name: MindFlows API
  description: API for MindFlows platform, documented at the interface docs page.
  humanURL: https://www.mindflows.us/docs/interface/
  aid: mindflows-us:mindflows-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Documentation pages are rendered via JavaScript, no machine‑readable OpenAPI spec found.
  evidence:
  - url: https://www.mindflows.us/docs/interface/
    status: 200
  checked: '2026-10-31'
x-enrichment:
  date: '2026-10-31'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

mindflows-us API — frequently asked questions

Does mindflows-us have an API?

Yes. APIs.io lists 1 API from mindflows-us, including MindFlows API.

Is the mindflows-us API ready for AI agents?

mindflows-us has a Kin Score of 16.9 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-10-31.

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