# Calven AI

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

Calven AI is an AI product marketing platform for B2B teams. It offers nine autonomous agents that perform market research, competitive intelligence, win/loss analysis, ICP and persona development, positioning, and messaging. Users own the strategy while the agents handle execution, enabling efficient product marketing at scale.

## Kin Score — 20.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 49.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 65.8 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 22.3 (matched via fallback).

## Agent readiness — 14.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| 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).

## Security (3)

- **Calven Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Calven Ai Vulnerability Disclosure** — security.txt · contact published
- **Calven Ai Trust Center** — SOC 2, GDPR

## Plans (1)

- **Calven Ai Plans Pricing**

## Tags

Artificial Intelligence, Marketing, Platform, B2B, Automation

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