Upsolver

Upsolver is a cloud data ingestion and lakehouse pipeline company whose SQLake platform lets teams build and deploy high-scale streaming data pipelines using familiar SQL, with automatic schema evolution and Apache Iceberg optimization. Upsolver was acquired by Qlik and the product now continues as Qlik Open Lakehouse; the standalone Upsolver (SQLake) product is legacy, with documentation maintained under Qlik's help site and first-party Python SDK, CLI, and dbt tooling still published on PyPI.

Upsolver is listed with 1 API on the APIs.io network. Tagged areas include Company, Data, Data Pipeline, Data Lakehouse, and Streaming.

Upsolver’s developer surface includes documentation, changelog, CLI, authentication, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.4/100 emerging ▬ flat Agent 3/100 human only Heartbeat 0/100 dormant library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Data Data Pipeline Data Lakehouse Streaming ETL SQL Apache Iceberg

Kin Score

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

Composite quality — 16.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 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
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 35.7 — up to +12.9 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/upsolver/apis.yml: open an issue on github.com/api-evangelist/upsolver 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Apache Iceberg

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Upsolver SQLake API

HTTP API behind the Upsolver SQLake platform, used by the first-party Python SDK (DB API 2.0), CLI, and dbt adapter to execute SQLake SQL statements (DDL, DML, continuous data l...

Security Posture 2

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

Upsolver Authentication

apiKey · 1 scheme

SECURITY

Upsolver Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

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 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

ParentCompany

ParentCompany

Source (apis.yml)

aid: upsolver
name: Upsolver
description: Upsolver is a cloud data ingestion and lakehouse pipeline company whose SQLake platform lets teams build and
  deploy high-scale streaming data pipelines using familiar SQL, with automatic schema evolution and Apache Iceberg optimization.
  Upsolver was acquired by Qlik and the product now continues as Qlik Open Lakehouse; the standalone Upsolver (SQLake) product
  is legacy, with documentation maintained under Qlik's help site and first-party Python SDK, CLI, and dbt tooling still published
  on PyPI.
url: https://raw.githubusercontent.com/api-evangelist/upsolver/refs/heads/main/apis.yml
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://avatars.githubusercontent.com/u/11595894?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- wing-venture-capital
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Data
- Data Pipeline
- Data Lakehouse
- Streaming
- ETL
- SQL
- Apache Iceberg
tags_raw:
- Company
- Data
- Data Pipelines
- Data Lakehouse
- Streaming
- ETL
- SQL
- Apache Iceberg
apis:
- name: Upsolver SQLake API
  description: HTTP API behind the Upsolver SQLake platform, used by the first-party Python SDK (DB API 2.0), CLI, and dbt
    adapter to execute SQLake SQL statements (DDL, DML, continuous data loading). Authenticated with a personal API token
    generated in the SQLake console plus an account-specific API URL. No OpenAPI is published; the product is legacy following
    the Qlik acquisition.
  humanURL: https://help.qlik.com/en-US/upsolver/sqlake/
  baseURL: https://api.upsolver.com
  tags:
  - Data Pipeline
  - SQL
  - Streaming
  tags_raw:
  - Data Pipelines
  - SQL
  - Streaming
  properties:
  - type: Documentation
    url: https://help.qlik.com/en-US/upsolver/sqlake/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ParentCompany
  url: https://apis.io/providers/qlik/
  name: Qlik
  x-relationship: acquired
  x-evidence: Upsolver was acquired by Qlik and the product now continues as Qlik Open Lakehouse; the standalone Upsolver
    (SQLake) product is legacy, with documentation maintained under Qlik's help site and first-party Python SDK, CLI, and
    dbt tooling st
- type: Website
  url: https://www.upsolver.com/
- type: Documentation
  url: https://help.qlik.com/en-US/upsolver/sqlake/
- type: GitHubOrganization
  url: https://github.com/Upsolver
- type: ChangeLog
  url: changelog/upsolver-changelog.yml
- type: Lifecycle
  url: lifecycle/upsolver-lifecycle.yml
- type: Packages
  url: packages/upsolver-packages.yml
- type: SDKs
  url: packages/upsolver-packages.yml
- type: CLI
  url: cli/upsolver-cli.yml
- type: Authentication
  url: authentication/upsolver-authentication.yml
- type: LLMsTxt
  url: llms/upsolver-llms.txt
- type: DomainSecurity
  url: security/upsolver-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 8
  pass: local-v1

Upsolver API — frequently asked questions

Does Upsolver have an API?

Yes. APIs.io lists 1 API from Upsolver, including Upsolver SQLake API.

How do I authenticate with the Upsolver API?

Upsolver uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Upsolver Authentication.

Is the Upsolver API ready for AI agents?

Upsolver has a Kin Score of 16.4 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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