Latent Space website screenshot

Latent Space

Latent Space is an artificial intelligence company building generative models for businesses and creatives, described by General Catalyst as creating "AI technology for predictive analytics and data-driven insights." The company raised a Series A from Greylock and General Catalyst and is listed in the General Catalyst portfolio under the Artificial Intelligence industry in North America. As of a July 2026 probe, Latent Space publishes no developer surface: the company domain latentspace.co returns an HTTP 302 redirect to its X/Twitter profile for every path probed, no docs/api/developer/app/status subdomains resolve in DNS, there are no /.well-known/ discovery documents, no llms.txt, and no public repositories under its GitHub organization. This profile therefore records verified company identity and domain posture only — no API, SDK, or documentation artifacts exist to harvest.

Latent Space is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Generative AI, Machine-Learning, and Predictive Analytics.

6.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceGenerative AIMachine-LearningPredictive AnalyticsVenture BackedNorth America

Kin Score

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

Latent Space Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: latent-space
name: Latent Space
description: 'Latent Space is an artificial intelligence company building generative models for businesses and creatives,
  described by General Catalyst as creating "AI technology for predictive analytics and data-driven insights." The company
  raised a Series A from Greylock and General Catalyst and is listed in the General Catalyst portfolio under the Artificial
  Intelligence industry in North America. As of a July 2026 probe, Latent Space publishes no developer surface: the company
  domain latentspace.co returns an HTTP 302 redirect to its X/Twitter profile for every path probed, no docs/api/developer/app/status
  subdomains resolve in DNS, there are no /.well-known/ discovery documents, no llms.txt, and no public repositories under
  its GitHub organization. This profile therefore records verified company identity and domain posture only — no API, SDK,
  or documentation artifacts exist to harvest.'
url: https://raw.githubusercontent.com/api-evangelist/latent-space/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  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: []
  generated: '2026-07-22'
  method: derived
image: https://pbs.twimg.com/profile_images/1168960746237112320/hUVM_19-_400x400.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- greylock
x-tier: stub
x-tier-reason: no-public-developer-surface
x-enrichment:
  last_run: '2026-07-19'
  outcome: identity-verified-no-api-surface
  evidence:
  - https://www.generalcatalyst.com/companies/latent-space
  - https://x.com/latentspaceai
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Generative AI
- Machine-Learning
- Predictive Analytics
- Venture Backed
- North America
tags_raw:
- Company
- Artificial Intelligence
- Generative AI
- Machine Learning
- Predictive Analytics
- Venture Backed
- North America
apis: []
common:
- url: https://www.latentspace.co/
  type: Website
  name: Latent Space website (302 redirects to X/Twitter as of 2026-07-19)
- url: https://x.com/latentspaceai
  type: Twitter
  name: Latent Space on X
- url: https://www.linkedin.com/company/latentspaceai/
  type: LinkedIn
  name: Latent Space on LinkedIn
- url: https://github.com/latentspaceai
  type: GitHubOrganization
  name: Latent Space GitHub organization (no public repositories)
- url: https://www.generalcatalyst.com/companies/latent-space
  type: Investors
  name: General Catalyst portfolio profile
- url: security/latent-space-domain-security.yml
  type: DomainSecurity
  name: Domain and TLS security posture
- url: well-known/latent-space-well-known.yml
  type: WellKnown
  name: Well-known discovery probe results
- url: llms/latent-space-llms.txt
  type: LLMsTxt
  name: llms.txt for Latent Space
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this
  • find_providersBrowse and filter every provider in the catalog.
  • get_provider_artifactsEvery artifact this provider publishes, grouped by type.
  • get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
  • get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
  • get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
  • get_provider_ratingPRO — composite, band, trend and facet scores.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This provider
curl "https://apis.io/api/v1/providers/latent-space"
All providers
curl "https://apis.io/api/v1/providers?limit=25"
Every operation they expose
curl "https://apis.io/api/v1/providers/latent-space/operations?limit=25"
How their score was established
curl "https://apis.io/api/v1/providers/latent-space/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.