# Opsani

**Canonical:** https://apis.io/providers/opsani/  
**Website:** https://opsani.com/  
**APIs profiled:** 0

Opsani was an enterprise software company based in Redwood City, California that delivered an ML-driven cloud platform for Continuous Optimization as a Service (COaaS), automatically and continuously tuning cloud-native (Kubernetes) application configurations for the best balance of performance, availability, and cost. Opsani was acquired by Cisco in January 2022 and folded into the Cisco AppDynamics full-stack observability portfolio (subsequently part of Splunk). The company no longer operates an independent API surface — opsani.com now redirects to Splunk and docs.opsani.com no longer resolves. The one surviving public first-party artifact is the open-source Servo (servox) optimization agent, still published on PyPI and hosted at github.com/opsani.

## Kin Score — 6.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| 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, Optimization, Kubernetes, Cloud-Native, Machine-Learning, Observability, Acquired

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