Akridata

Akridata builds AI-powered visual data and inspection tooling for data-centric AI teams and manufacturers. Its Data Explorer product helps ML engineers visualize large image and video datasets, detect and remove outliers, check class balance, sample and de-duplicate data, run image-based similarity search, curate and label training sets, and analyze model accuracy. Data Explorer ships a first-party Python SDK (akride) plus Docker images and an ingest CLI for programmatic access to catalogs, explore/analyze jobs, similarity search, labeling, and visualization job metadata against the SaaS endpoint at app.akridata.ai. Akridata also offers Vision Assist, Vision Command, and Vision Copilot for real-time AI visual inspection and defect detection across manufacturing, automotive, medical device, railway, and agriculture. The company was acquired by Dimaag-AI and originally surfaced as a portfolio company of Accel and Partech.

Akridata is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Computer Vision, Data Curation, and Machine Learning.

Akridata’s developer surface includes documentation, getting-started guide, engineering blog, pricing, support, signup flow, CLI, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

33.1/100 thin ▬ flat Agent 3/100 human only Heartbeat 3/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Artificial Intelligence Computer Vision Data Curation Machine Learning Visual Inspection Data Explorer MLOps

Kin Score

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

Composite quality — 33.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.3 / 17

Access Clarity 13.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 6.2 / 9

Regulatory Posture 2.7 / 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
Operational Transparency scores 2.6 — up to +12.7 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/akridata/apis.yml: open an issue on github.com/api-evangelist/akridata 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
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	distribution	9.6 (thin)	-	-

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.

APIs 1

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

Akridata Data Explorer API

Programmatic access to Akridata Data Explorer via the first-party Python SDK (akride) and ingest CLI: data/dataset registration, catalog operations, explore and analyze jobs, im...

Akridata API pricing

Prices published by Akridata, read 2026-10-07 from akridata.ai/pricing/.

Plan	Price
Vision Assist	Get in Touch
Vision Command	Get in Touch
Vision Copilot	Get in Touch

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Akridata Plans Pricing

3 plans

PLANS

Security Posture 2

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

Akridata Authentication

apiKey · 1 scheme

SECURITY

Akridata Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

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

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

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: akridata
name: Akridata
description: Akridata builds AI-powered visual data and inspection tooling for data-centric AI teams and manufacturers. Its
  Data Explorer product helps ML engineers visualize large image and video datasets, detect and remove outliers, check class
  balance, sample and de-duplicate data, run image-based similarity search, curate and label training sets, and analyze model
  accuracy. Data Explorer ships a first-party Python SDK (akride) plus Docker images and an ingest CLI for programmatic access
  to catalogs, explore/analyze jobs, similarity search, labeling, and visualization job metadata against the SaaS endpoint
  at app.akridata.ai. Akridata also offers Vision Assist, Vision Command, and Vision Copilot for real-time AI visual inspection
  and defect detection across manufacturing, automotive, medical device, railway, and agriculture. The company was acquired
  by Dimaag-AI and originally surfaced as a portfolio company of Accel and Partech.
url: https://raw.githubusercontent.com/api-evangelist/akridata/refs/heads/main/apis.yml
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:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://akridata.ai/wp-content/uploads/2026/05/Akridata-Preview-Image-1.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
- partech
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Computer Vision
- Data Curation
- Machine Learning
- Visual Inspection
- Data Explorer
- MLOps
tags_raw:
- Company
- Artificial Intelligence
- Computer Vision
- Data Curation
- Machine Learning
- Visual Inspection
- Data Explorer
- MLOps
- Computer-Vision
- Machine-Learning
apis:
- name: Akridata Data Explorer API
  description: 'Programmatic access to Akridata Data Explorer via the first-party Python SDK (akride) and ingest CLI: data/dataset
    registration, catalog operations, explore and analyze jobs, image-based similarity search, labeling, and visualization
    job metadata. Accessed against the SaaS endpoint using an API key downloaded from the Data Explorer profile.'
  humanURL: https://docs.akridata.ai/docs/sdk-for-api-access
  baseURL: https://app.akridata.ai
  properties:
  - type: Documentation
    url: https://docs.akridata.ai/docs/sdk-for-api-access
  - type: GettingStarted
    url: https://docs.akridata.ai/docs/quick-start
  - type: Authentication
    url: authentication/akridata-authentication.yml
  - type: SDKs
    url: packages/akridata-packages.yml
  - type: CLI
    url: cli/akridata-cli.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/akridata-plans-pricing.yml
- url: https://akridata.ai/feed/
  type: BlogRSS
- type: Website
  url: https://akridata.ai/
- type: DeveloperPortal
  url: https://docs.akridata.ai/
- type: Documentation
  url: https://docs.akridata.ai/docs
- type: GettingStarted
  url: https://docs.akridata.ai/docs/quick-start
- type: Blog
  url: https://akridata.ai/blog/
- type: Pricing
  url: https://akridata.ai/pricing/
- type: Support
  url: https://akridata.ai/contact-us/
- type: SignUp
  url: https://app.akridata.ai/
- type: Login
  url: https://app.akridata.ai/
- type: TermsOfService
  url: https://akridata.ai/terms/
- type: PrivacyPolicy
  url: https://akridata.ai/privacy/
- type: GitHubOrganization
  url: https://github.com/akridata-ai
- type: Packages
  url: packages/akridata-packages.yml
- type: SDKs
  url: packages/akridata-packages.yml
- type: CLI
  url: cli/akridata-cli.yml
- type: Authentication
  url: authentication/akridata-authentication.yml
- type: LLMsTxt
  url: llms/akridata-llms.txt
- type: DomainSecurity
  url: security/akridata-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Akridata API — frequently asked questions

Does Akridata have an API?

Yes. APIs.io lists 1 API from Akridata, including Akridata Data Explorer API.

How do I authenticate with the Akridata API?

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

How much does the Akridata API cost?

Akridata publishes its prices; its Vision Assist plan is Get in Touch as of 2026-10-07. APIs.io lists 3 pricing plans for Akridata, with each plan's price, limits and inclusions under Pricing on this page.

Is the Akridata API ready for AI agents?

Akridata has a Kin Score of 33.1 out of 100 (thin) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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