# Numerify

**Canonical:** https://apis.io/providers/numerify/  
**Website:** https://digital.ai/change-risk-prediction  
**APIs profiled:** 0

Numerify was an IT business analytics company that provided a cloud-based System of Intelligence for IT operations, applying AI and machine learning to data from ITSM, DevOps, and application-performance tools to predict change risk, reduce incidents, and improve software delivery. Numerify was acquired by Digital.ai in 2020, and its capabilities now live inside Digital.ai's Change Risk Prediction / Intelligence product line. The standalone numerify.com domain 301-redirects to digital.ai, and the company publishes no independent public developer API, OpenAPI specification, SDKs, or developer portal. This profile was surfaced as a portfolio company of Lightspeed Venture Partners and enriched by the API Evangelist pipeline.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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 |

## Access

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

## Tags

Company, IT Analytics, DevOps, ITSM, Machine-Learning, Change Risk Prediction, Acquired

---

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