# Flow AI

**Canonical:** https://apis.io/providers/flowaiapi-com/  
**Website:** https://flowaiapi.com/  
**APIs profiled:** 1

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.

## Kin Score — 29.2 / 100 (thin)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 42.9 |
| Developer Ergonomics | 38.1 |
| Access Clarity | 42.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 17.3 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: low).

## APIs (1)

- **Flow AI API** — Managed inference API for AI agents.

## Security (1)

- **Flow AI Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Flow AI Plans Pricing**

## Tags

Artificial Intelligence, Inference, Managed, OpenAI, Anthropic

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/flowaiapi-com/). Scores are computed from the provider's own public artifacts under a published rubric.