Flow AI

Flow AI provides managed inference for AI agents, routing each request to the cheapest compatible model (OpenAI or Anthropic) that can complete the task. It offers a subscription with a free trial and transparent pricing, handling model selection, cost optimization, and token usage, enabling developers to integrate powerful AI capabilities without managing multiple provider APIs directly.

Flow AI is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Inference, Managed, OpenAI, and Anthropic.

Flow AI’s developer surface includes changelog, sandbox, documentation, API reference, getting-started guide, engineering blog, pricing, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.2/100 thin Agent 0/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 API

Artificial Intelligence Inference Managed OpenAI Anthropic

Kin Score

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

Composite quality — 29.2/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 7.2 / 17

Operational Transparency 4.7 / 11

Contract Governance 0.5 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.6 / 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

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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
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 →
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) 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 →

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 Ask about this →
Developer Ergonomics scores 38.1 — up to +12.4 composite points Ask about this →
Contract Governance scores 4.5 — up to +11.5 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/flowaiapi-com/apis.yml: open an issue on github.com/api-evangelist/flowaiapi-com 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.

Flow AI API

Managed inference API for AI agents.

Flow AI API pricing

Prices published by Flow AI, read 2026-11-08 from flowaiapi.com/pricing.

Plan	Price
Monthly	$4.99/ month
Annual	$45/ year

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Flow AI Plans Pricing

2 plans

PLANS

Security Posture 1

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

Flow AI Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Sandbox

Sandbox

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

Security

Security

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

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: flowaiapi-com
name: Flow AI
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://flowaiapi.com/opengraph-image?f15fc246e2c83d9b
description: Flow AI provides managed inference for AI agents, routing each request to the cheapest compatible model (OpenAI
  or Anthropic) that can complete the task. It offers a subscription with a free trial and transparent pricing, handling model
  selection, cost optimization, and token usage, enabling developers to integrate powerful AI capabilities without managing
  multiple provider APIs directly.
url: https://artifacts.apis.io/flowaiapi-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-08 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-08'
modified: '2026-11-08'
tags:
- Artificial Intelligence
- Inference
- Managed
- OpenAI
- Anthropic
tags_raw:
- AI
- Inference
- Managed
- OpenAI
- Anthropic
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/flowaiapi-com-plans-pricing.yml
- type: ChangeLog
  url: changelog/flowaiapi-com-changelog.yml
- type: Conformance
  url: conformance/flowaiapi-com-conformance.yml
- type: LLMsTxt
  url: llms/flowaiapi-com-llms.txt
- type: Hosts
  url: hosts/flowaiapi-com-hosts.yml
- type: Vendors
  url: vendors/flowaiapi-com-vendors.yml
- type: TermsOfService
  url: https://flowaiapi.com/terms
- type: StatusPage
  url: https://flowaiapi.com/status
- type: Security
  url: https://flowaiapi.com/security
- type: Sandbox
  url: https://flowaiapi.com/playground
- type: PrivacyPolicy
  url: https://flowaiapi.com/privacy
- type: ChangeLog
  url: https://flowaiapi.com/changelog
- type: GitHubOrganization
  url: https://github.com/flowaiapi
- type: DomainSecurity
  url: security/flowaiapi-com-domain-security.yml
- type: Website
  url: https://flowaiapi.com/
- type: Documentation
  url: https://flowaiapi.com/docs
- type: APIReference
  url: https://flowaiapi.com/docs
- type: GettingStarted
  url: https://flowaiapi.com/docs#quickstart
- type: Blog
  url: https://flowaiapi.com/blog
- type: Pricing
  url: https://flowaiapi.com/pricing
- type: Solutions
  url: https://flowaiapi.com/solutions
apis:
- name: Flow AI API
  description: Managed inference API for AI agents.
  humanURL: https://flowaiapi.com/docs
  baseURL: https://api.flowaiapi.com
  aid: flowaiapi-com:flow-ai-api
x-enrichment:
  date: '2026-11-08'
  status: enriched
  artifacts_added: 14
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Flow AI API — frequently asked questions

Does Flow AI have an API?

Yes. APIs.io lists 1 API from Flow AI, including Flow AI API.

How much does the Flow AI API cost?

Flow AI publishes its prices; its Monthly plan is $4.99/ month as of 2026-11-08. APIs.io lists 2 pricing plans for Flow AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Flow AI API ready for AI agents?

Flow AI has a Kin Score of 29.2 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

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