# OtterTune

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

OtterTune was a database optimization ("on autopilot") start-up spun out of Carnegie Mellon University's database research group, operating from roughly 2020 to 2024. It applied machine learning to automatically tune the configuration knobs of PostgreSQL and MySQL databases (including managed instances such as Amazon RDS and Aurora) to improve performance and reduce cost. The company shut down in 2024 and its homepage now states the company is defunct. Its public GitHub organization remains available with infrastructure and agent tooling (ot-agent, Helm chart, CloudFormation/Terraform templates). This API Evangelist profile was added as a portfolio-company lead of Accel and captures the residual public footprint of a now-inactive company rather than a live API surface.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| 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).

## Security (1)

- **Ottertune Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Big Data, Database, Database Optimization, Machine-Learning, PostgreSQL, MySQL, Defunct

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