# Datacurve

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

Datacurve is a San Francisco-based AI infrastructure company that positions itself as "the data engine for frontier AI," building high-quality, expert-annotated datasets, reinforcement-learning environments, long-horizon agent tasks, benchmarks, and supervised fine-tuning demonstrations used to train and evaluate frontier AI models. Its offerings include off-the-shelf and custom datasets, agent-trajectory capture (tool calls, pivots, recovery attempts), and domain-sensitive evaluations across software engineering, data science, cybersecurity, machine learning, and research. Datacurve is backed by Homebrew and publishes research such as the DeepSWE long-horizon coding benchmark. The company sells through direct engagement (contact@datacurve.ai) and currently exposes no public API, developer portal, or SDKs.

## 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).

## Security (1)

- **Datacurve Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, Datasets, Reinforcement Learning, Benchmarks, LLM Training, AI Infrastructure, Data Annotation

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