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, Artificial Intelligence, and Multi-Modal.

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

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23.3/100 emerging ▬ flat Agent 4/100 human only Front door AI 1/6 silent Heartbeat 65/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Data Data Engine Artificial Intelligence Multi-Modal Analytics Open Source Python Rust DataFrames Physical AI Distributed Computing

Kin Score

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

Composite quality — 23.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 10.1 / 17

Access Clarity 3.6 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 4/100 · 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 5 / 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 AI & Biometrics 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

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 21.1 — up to +15.8 composite points
Contract Governance scores 0.0 — up to +12.0 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/eventual/apis.yml: open an issue on github.com/api-evangelist/eventual 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Buf Schema Registry (public Protocol Buffers modules, gRPC / ConnectRPC schema publishers)	standard	17.2 (thin)	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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.

Agent Skills

measured — observed by APIs.io (published)

Security Posture 1

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

Eventual Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

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
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://github.com/Eventual-Inc.png
x-docs-platform: readthedocs
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Data
- Data Engine
- Artificial Intelligence
- Multi-Modal
- Analytics
- Open Source
- Python
- Rust
- DataFrames
- Physical AI
- Distributed Computing
tags_raw:
- Company
- Data
- Data Engine
- AI
- Multimodal
- Analytics
- Open Source
- Python
- Rust
- Dataframe
- Physical AI
- Distributed Computing
- Open-Source
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

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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.

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