# Von

**Canonical:** https://apis.io/providers/von/  
**Website:** https://vonlabs.ai/  
**APIs profiled:** 0

Von (vonlabs.ai) is an AI RevOps agent from Rattle Software, the Insight Partners and Sequoia backed team behind gorattle.com, positioned as an AI data scientist for revenue teams. Von connects to CRMs, data warehouses, call recorders, and sales engagement tools - Salesforce, HubSpot, Snowflake, BigQuery, Databricks, Gong, Outreach, Salesloft, and more, plus 100+ integrations consumed via MCP - to automate pipeline forecasting, win/loss analysis, churn detection, sales coaching, and Salesforce administration. Von publishes no public API or developer program; its security posture is documented at trust.vonlabs.ai (SOC 2 Type 2, SOC 3, ISO 27001, CASA Tier 2).

## Kin Score — 18.4 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 18.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 6.5 |
| Commercial Clarity | 50.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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 |

## Access

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

## Security (3)

- **Von Domain Security** — TLSv1.3 · HSTS · DMARC
- **Von Vulnerability Disclosure** — Hackerone · contact published
- **Von Trust Center** — SOC 2 Type 2, SOC 3, ISO/IEC 27001:2022, CASA Tier 2

## Plans (1)

- **Von Plans Pricing**

## Tags

Company, Artificial Intelligence, Revenue Operations, Sales, CRM, Analytics, SaaS

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