Praxis AI (Vortexify)

Praxis AI is a Y Combinator (Fall 2024) company that now operates as Vortexify (vortexify.ai). Vortexify is an AI-native platform that generates operational software directly from a company's data: teams connect data sources through 20+ prebuilt connectors (PostgreSQL, MySQL, SQL Server, MongoDB, BigQuery, Redshift, Snowflake, NetSuite, Oracle, S3, Azure Blob, Google Sheets/Drive, SharePoint and more), describe requirements in plain English, and AI agents plan, code, test and deploy backend logic plus custom frontends with no infrastructure to manage. The platform emphasizes building complete apps on operational data rather than just dashboards, with built-in scheduling, serverless compute execution, role-based access control, audit logs, sandboxed environments, token-based authentication, and SOC 2 Type II compliance. Praxis AI was founded by Aditya Tewari (ex-Palantir) and Ransika Liyanage (ex-Tesla, GM, Deloitte), originally focused on manufacturing-specific AI agents for predicting and preventing machine failures. This profile was surfaced as a portfolio company of Y Combinator. Vortexify does not currently publish a public developer API, SDK, or OpenAPI specification.

Praxis AI (Vortexify) is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, No-Code, Data Integration, and Application Development.

Praxis AI (Vortexify)’s developer surface includes documentation, pricing, signup flow, support, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.0/100 emerging ▬ flat Agent 0/100 human only Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Artificial Intelligence No-Code Data Integration Application Development AI Agents Automation Manufacturing

Kin Score

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

Composite quality — 19.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.4 / 17

Access Clarity 9.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.5 / 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
Developer Ergonomics scores 14.3 — up to +17.1 composite points
Operational Transparency scores 0.0 — up to +13.0 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/praxis-ai-2/apis.yml: open an issue on github.com/api-evangelist/praxis-ai-2 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 →

Praxis AI (Vortexify) API pricing

Prices published by Praxis AI (Vortexify), read 2026-10-07 from www.vortexify.ai/pricing.

Plan	Price
Starter	$10/ builder/ mo Includes: Up to 5 users, dataset uploads, limited agent capacity, standard compute capacity, support tickets;
Team	$20/ builder/ mo Includes: Everything in Starter, plus up to 25 users, file storage connectors, custom environments, every 10-m
Business	$60/ builder/ mo Includes: Everything in Team, plus unlimited users, database connectors, unlimited agent capacity, every 1-min
Enterprise	Custom Includes: Everything in Business, plus private deployment, SOC 2 compliance, SSO, dedicated support, dedicated

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Praxis Ai 2 Plans Pricing

4 plans

PLANS

Security Posture 1

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

Praxis Ai 2 Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

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

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: praxis-ai-2
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/praxis-ai-2.png
name: Praxis AI (Vortexify)
description: 'Praxis AI is a Y Combinator (Fall 2024) company that now operates as Vortexify (vortexify.ai). Vortexify is
  an AI-native platform that generates operational software directly from a company''s data: teams connect data sources through
  20+ prebuilt connectors (PostgreSQL, MySQL, SQL Server, MongoDB, BigQuery, Redshift, Snowflake, NetSuite, Oracle, S3, Azure
  Blob, Google Sheets/Drive, SharePoint and more), describe requirements in plain English, and AI agents plan, code, test
  and deploy backend logic plus custom frontends with no infrastructure to manage. The platform emphasizes building complete
  apps on operational data rather than just dashboards, with built-in scheduling, serverless compute execution, role-based
  access control, audit logs, sandboxed environments, token-based authentication, and SOC 2 Type II compliance. Praxis AI
  was founded by Aditya Tewari (ex-Palantir) and Ransika Liyanage (ex-Tesla, GM, Deloitte), originally focused on manufacturing-specific
  AI agents for predicting and preventing machine failures. This profile was surfaced as a portfolio company of Y Combinator.
  Vortexify does not currently publish a public developer API, SDK, or OpenAPI specification.'
url: https://raw.githubusercontent.com/api-evangelist/praxis-ai-2/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
x-rebrand:
  former-name: Praxis AI
  current-name: Vortexify
  website: https://www.vortexify.ai
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- No-Code
- Data Integration
- Application Development
- AI Agents
- Automation
- Manufacturing
apis: []
common:
- type: Plans
  url: plans/praxis-ai-2-plans-pricing.yml
- type: DomainSecurity
  url: security/praxis-ai-2-domain-security.yml
- type: Website
  url: https://www.vortexify.ai
- type: Documentation
  url: https://www.vortexify.ai/docs
- type: Pricing
  url: https://www.vortexify.ai/pricing
- type: SignUp
  url: https://www.vortexify.app/create-account
- type: Login
  url: https://www.vortexify.app/sign-in/
- type: Support
  url: mailto:support@vortexify.ai
- type: Compliance
  url: https://www.vortexify.ai/security
- type: LLMsTxt
  url: llms/praxis-ai-2-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1

Praxis AI (Vortexify) API — frequently asked questions

How much does the Praxis AI (Vortexify) API cost?

Praxis AI (Vortexify) publishes its prices; its Starter plan is $10/ builder/ mo as of 2026-10-07. APIs.io lists 4 pricing plans for Praxis AI (Vortexify), with each plan's price, limits and inclusions under Pricing on this page.

Is the Praxis AI (Vortexify) API ready for AI agents?

Praxis AI (Vortexify) has a Kin Score of 19.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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