Alkera Ai

Alkera is an AI data-engineering agent that works across your data stack from the command line and inside your editor to build, migrate, optimize, and debug data pipelines. It ships as a CLI and an IDE extension (VS Code and Open VSX forks such as Cursor and Windsurf), and pairs a cross-platform column-level lineage engine with a living knowledge base so the agent understands what your data means and what your team already decided about it. Alkera connects natively to 14+ platforms including Snowflake, Databricks, BigQuery, dbt, and Airflow, builds new pipelines end to end (sources, models, tests, orchestration), migrates legacy systems while verifying functional equivalence, removes dead pipelines, refactors slow models, and performs root-cause analysis with blast-radius awareness. It ranked first on DataAgentBench (83.28% Pass@1). Enterprise deployments add SSO/SAML, SCIM & IAM, audit logs, pooled usage, VPC and on-prem deployment, zero data retention by default, data residency controls, and SLAs.

Alkera Ai is profiled on the APIs.io network. Tagged areas include Company, Data Engineering, AI Agents, Data Pipeline, and Data Lineage.

Alkera Ai’s developer surface includes documentation, getting-started guide, pricing, signup flow, changelog, CLI, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

21.7/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Data Engineering AI Agents Data Pipeline Data Lineage Developer Tools CLI IDE Extension Data Stack

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 21.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.6 / 20

Access Clarity 6.3 / 20

Operational Transparency 2.1 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/alkera-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Alkera Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Build 2

SDKs, sample code, and the tooling you integrate with

Packages

Packages

CLI

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Installation

Installation

Source (apis.yml)

aid: alkera-ai
name: Alkera Ai
description: Alkera is an AI data-engineering agent that works across your data stack from the command line and inside your
  editor to build, migrate, optimize, and debug data pipelines. It ships as a CLI and an IDE extension (VS Code and Open VSX
  forks such as Cursor and Windsurf), and pairs a cross-platform column-level lineage engine with a living knowledge base
  so the agent understands what your data means and what your team already decided about it. Alkera connects natively to 14+
  platforms including Snowflake, Databricks, BigQuery, dbt, and Airflow, builds new pipelines end to end (sources, models,
  tests, orchestration), migrates legacy systems while verifying functional equivalence, removes dead pipelines, refactors
  slow models, and performs root-cause analysis with blast-radius awareness. It ranked first on DataAgentBench (83.28% Pass@1).
  Enterprise deployments add SSO/SAML, SCIM & IAM, audit logs, pooled usage, VPC and on-prem deployment, zero data retention
  by default, data residency controls, and SLAs.
url: https://raw.githubusercontent.com/api-evangelist/alkera-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
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://alkera.ai/og-image.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Data Engineering
- AI Agents
- Data Pipeline
- Data Lineage
- Developer Tools
- CLI
- IDE Extension
- Data Stack
tags_raw:
- Company
- Data Engineering
- AI Agents
- Data Pipelines
- Data Lineage
- Developer Tools
- CLI
- IDE Extension
- Data Stack
apis: []
common:
- type: DomainSecurity
  url: security/alkera-ai-domain-security.yml
- type: Website
  url: https://alkera.ai
- type: DeveloperPortal
  url: https://docs.alkera.ai
- type: Documentation
  url: https://docs.alkera.ai
- type: GettingStarted
  url: https://docs.alkera.ai/quickstart
- type: Installation
  url: https://docs.alkera.ai/installation
- type: Pricing
  url: https://alkera.ai/pricing
- type: SignUp
  url: https://app.alkera.ai
- type: Login
  url: https://app.alkera.ai
- type: TermsOfService
  url: https://alkera.ai/tos
- type: PrivacyPolicy
  url: https://alkera.ai/privacy-policy
- type: ChangeLog
  url: https://docs.alkera.ai/changelog
- type: ChangeLog
  name: Alkera changelog artifact
  url: changelog/alkera-ai-changelog.yml
- type: LLMsTxt
  url: llms/alkera-ai-llms.txt
- type: Packages
  url: packages/alkera-ai-packages.yml
- type: CLI
  url: cli/alkera-ai-cli.yml
- type: Lifecycle
  url: lifecycle/alkera-ai-lifecycle.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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