Eventual

Eventual is a data infrastructure company building Daft, an open-source, high-performance data engine for AI and multimodal workloads. Written in Rust with Python and SQL interfaces, Daft lets teams query and process images, audio, video, documents, embeddings, and structured data from a local laptop to petabyte-scale distributed clusters on Ray or Kubernetes. Eventual also builds MultiBase, a semantic data platform for Physical AI teams. Daft runs in production at exabyte scale at organizations including Amazon, Mobileye, and Together AI, and Eventual is backed by CRV and Felicis.

Eventual is profiled on the APIs.io network. Tagged areas include Company, Data, Data Engine, AI, and Multimodal.

Eventual’s developer surface includes documentation, API reference, getting-started guide, quickstart, engineering blog, support, changelog, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

24.6/100 emerging ▬ flat Agent 5/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyDataData EngineAIMultimodalAnalyticsOpen SourcePythonRustDataframePhysical AIDistributed Computing

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 24.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 10.9 / 20

Commercial Clarity 4.2 / 20

Operational Transparency 2.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 5/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/eventual: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Quickstart

Quickstart

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: eventual
name: Eventual
description: Eventual is a data infrastructure company building Daft, an open-source, high-performance data engine for AI
  and multimodal workloads. Written in Rust with Python and SQL interfaces, Daft lets teams query and process images, audio,
  video, documents, embeddings, and structured data from a local laptop to petabyte-scale distributed clusters on Ray or Kubernetes.
  Eventual also builds MultiBase, a semantic data platform for Physical AI teams. Daft runs in production at exabyte scale
  at organizations including Amazon, Mobileye, and Together AI, and Eventual is backed by CRV and Felicis.
url: https://raw.githubusercontent.com/api-evangelist/eventual/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- crv
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://github.com/Eventual-Inc.png
tags:
- Company
- Data
- Data Engine
- AI
- Multimodal
- Analytics
- Open Source
- Python
- Rust
- Dataframe
- Physical AI
- Distributed Computing
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.eventual.ai/
- type: DeveloperPortal
  url: https://www.daft.ai/
- type: Documentation
  url: https://docs.daft.ai/en/stable/
- type: APIReference
  url: https://docs.daft.ai/en/stable/api/
- type: GettingStarted
  url: https://docs.daft.ai/en/stable/quickstart/
- type: Quickstart
  url: https://docs.daft.ai/en/stable/quickstart/
- type: Blog
  url: https://www.daft.ai/blog
- type: GitHubOrganization
  url: https://github.com/Eventual-Inc
- type: Support
  url: https://www.daft.ai/slack
- type: TermsOfService
  url: https://www.eventual.ai/terms-of-use
- type: PrivacyPolicy
  url: https://www.eventual.ai/privacy-policy
- type: Packages
  url: packages/eventual-packages.yml
- type: SDKs
  url: packages/eventual-packages.yml
- type: ChangeLog
  url: changelog/eventual-changelog.yml
- type: Lifecycle
  url: lifecycle/eventual-lifecycle.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/eventual-llms.txt
- type: DomainSecurity
  url: security/eventual-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence