Datacurve website screenshot

Datacurve

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.

Datacurve is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Datasets, and Reinforcement Learning.

🌐 Visit website 📡 Source on GitHub
5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningDatasetsReinforcement LearningBenchmarksLLM TrainingAI InfrastructureData Annotation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 5.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/datacurve: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Datacurve Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Careers
Careers

Other 2

Properties that don't map to a standard resource type

Products
Products
 Research
Research

Source (apis.yml)

apis.yml Raw ↑ 
aid: datacurve
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/datacurve.png
name: Datacurve
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/datacurve/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
x-enrichment:
  last_run: '2026-07-18'
  status: no-public-api-surface
  notes: Enrichment probed the site plus the well-known and package-registry surface. Datacurve has no public API, developer
    portal, docs, SDKs/packages, or event surface, so most artifact types are N/A (not penalized). Only the domain-security
    probe and an identity/discoverability pass yielded real data.
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Datasets
- Reinforcement Learning
- Benchmarks
- LLM Training
- AI Infrastructure
- Data Annotation
tags_raw:
- Company
- Ai
- Machine Learning
- Datasets
- Reinforcement Learning
- Benchmarks
- LLM Training
- AI Infrastructure
- Data Annotation
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://datacurve.ai
- type: Products
  url: https://datacurve.ai/products
- type: Research
  url: https://datacurve.ai/research
- type: Careers
  url: https://datacurve.ai/careers
- type: DomainSecurity
  url: security/datacurve-domain-security.yml