Elementl

Elementl, Inc. is the company behind Dagster, rebranded as Dagster Labs in August 2023. Founded in 2018 by Nick Schrock (creator of GraphQL) and led by CEO Pete Hunt, the San Francisco company builds Dagster, an open-source, Apache-2.0 licensed, cloud-native data orchestration platform, and Dagster+, its managed cloud offering. Dagster's defining innovation is the Software-Defined Asset model, which treats data tables, ML models, and datasets as first-class, versioned objects with built-in lineage, data quality checks, and observability rather than as ordered task lists. The platform exposes a GraphQL API and a REST API for reporting external asset materializations, checks, and observations, plus Python and CLI clients. The company has raised roughly $48.8M, including a $33M Series B (2023) led by Georgian with participation from Sequoia, Index Ventures, Amplify, 8VC, Human Capital, Hanover, and Slow. The Dagster product API surface is catalogued separately in the api-evangelist/dagster profile.

Elementl is profiled on the APIs.io network. Tagged areas include Company, Open Source, Data Orchestration, Data Engineering, and Data Pipeline.

Elementl’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, engineering blog, support, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.2/100 thin ▬ flat Agent 0/100 human only Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Open Source Data Orchestration Data Engineering Data Pipeline DataOps Observability Analytics Machine Learning Cloud Workflow Automation Python

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 37.2/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.7 / 17

Access Clarity 15.7 / 17

Operational Transparency 3.2 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 3.4 / 15

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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Developer Ergonomics scores 45.2 — up to +11.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/elementl/apis.yml: open an issue on github.com/api-evangelist/elementl to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Elementl API pricing

Prices published by Elementl, read 2026-10-07 from dagster.io/pricing.

Plan	Price
Solo Plan	$10 per month Includes: 1 User, 1 Code location, 1 Deployment, 30-day free trial
Starter Plan	$100 per month Includes: Up to 3 Users, 5 Code locations, 1 Deployment, Catalog Search, 30-day free trial
Pro Plan	Contact Sales Includes: Unlimited code locations, unlimited deployments, cost tracking and insights, SLAs

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Elementl Plans Pricing

3 plans

PLANS

Security Posture 3

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

Elementl Domain Security

TLSv1.3 · DMARC

SECURITY

Elementl Vulnerability Disclosure

contact published

SECURITY

Elementl Trust Center

SOC 2 Type II, HIPAA

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

Community

Community

StatusPage

StatusPage

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: elementl
name: Elementl
description: Elementl, Inc. is the company behind Dagster, rebranded as Dagster Labs in August 2023. Founded in 2018 by Nick
  Schrock (creator of GraphQL) and led by CEO Pete Hunt, the San Francisco company builds Dagster, an open-source, Apache-2.0
  licensed, cloud-native data orchestration platform, and Dagster+, its managed cloud offering. Dagster's defining innovation
  is the Software-Defined Asset model, which treats data tables, ML models, and datasets as first-class, versioned objects
  with built-in lineage, data quality checks, and observability rather than as ordered task lists. The platform exposes a
  GraphQL API and a REST API for reporting external asset materializations, checks, and observations, plus Python and CLI
  clients. The company has raised roughly $48.8M, including a $33M Series B (2023) led by Georgian with participation from
  Sequoia, Index Ventures, Amplify, 8VC, Human Capital, Hanover, and Slow. The Dagster product API surface is catalogued separately
  in the api-evangelist/dagster profile.
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.prod.website-files.com/681399f654933b29e12fb8bd/681cb5f07ccf87ece14559ef_OG%20-%20v2FIX.jpg
url: https://raw.githubusercontent.com/api-evangelist/elementl/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- index-ventures
x-tier: profile
x-tier-reason: portfolio-lead-enriched
x-also-known-as: Dagster Labs
x-product-profile: dagster
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Company
- Open Source
- Data Orchestration
- Data Engineering
- Data Pipeline
- DataOps
- Observability
- Analytics
- Machine Learning
- Cloud
- Workflow Automation
- Python
tags_raw:
- Company
- Open Source
- Data Orchestration
- Data Engineering
- Data Pipelines
- DataOps
- Observability
- Analytics
- Machine Learning
- Cloud
- Open-Source
- Machine-Learning
- Workflow Automation
- Python
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/elementl-plans-pricing.yml
- url: https://dagster.io/blog/rss.xml
  type: BlogRSS
- type: Website
  url: https://dagster.io
- type: DeveloperPortal
  url: https://docs.dagster.io
- type: Documentation
  url: https://docs.dagster.io
- type: APIReference
  url: https://docs.dagster.io/api
- type: GettingStarted
  url: https://docs.dagster.io/getting-started/quickstart
- type: Pricing
  url: https://dagster.io/pricing
- type: SignUp
  url: https://dagster.plus/signup
- type: Login
  url: https://dagster.plus
- type: Blog
  url: https://dagster.io/blog
- type: GitHubOrganization
  url: https://github.com/dagster-io
- type: Support
  url: https://dagster.io/support
- type: Community
  url: https://dagster.io/community
- type: StatusPage
  url: https://dagstercloud.statuspage.io
- type: TermsOfService
  url: https://dagster.io/terms
- type: PrivacyPolicy
  url: https://dagster.io/privacy
- type: TrustCenter
  url: security/elementl-trust-center.yml
- type: Compliance
  url: https://dagster.io/security
- type: VulnerabilityDisclosure
  url: security/elementl-vulnerability-disclosure.yml
- type: Security
  url: https://dagster.io/security
- type: DomainSecurity
  url: security/elementl-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Elementl API — frequently asked questions

How much does the Elementl API cost?

Elementl publishes its prices; its Solo Plan plan is $10 per month as of 2026-10-07. APIs.io lists 3 pricing plans for Elementl, with each plan's price, limits and inclusions under Pricing on this page.

Is the Elementl API ready for AI agents?

Elementl has a Kin Score of 37.2 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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