# Flow AI

**Canonical:** https://apis.io/providers/flow-ai/  
**Website:** https://flow-ai.com  
**APIs profiled:** 0

Flow AI builds infrastructure for embedding schema-aware, deterministic AI agents directly inside analytical SaaS products. Its flagship flowai-harness is a Rust-native runtime with a Python SDK for building production-grade data agents on top of your own data product, organized around five primitives - a data catalog agents use to resolve intent, typed plans and actions executed as auditable state machines with human approval gates, an embedded runtime, Studio (a local UI to run, debug, and evaluate agents), and self-improvement. It runs inside your infrastructure with your own model keys (OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen) and warehouse (Postgres, Snowflake, BigQuery, Databricks, DuckDB). The team also publishes the open Flow Judge LLM-as-a-judge evaluation model and the flow-eval evaluation engine.

## Kin Score — 32.2 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 32.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 80.4 |
| Commercial Clarity | 28.9 |
| Access Clarity | 28.9 |

## Agent readiness — 9.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | derived |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## MCP servers (1)

- **Flow AI MCP Server**

## Security (2)

- **Flow Ai Authentication** — provider-api-key/sso · 2 schemes
- **Flow Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, AI Agents, Agent Infrastructure, LLM Evaluation, Data, Runtime, SDK, MCP, Analytics

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