Neutrino AI

Neutrino AI provides AI-powered solutions for data analysis, automation, and predictive modeling. The company offers a suite of APIs that enable developers to integrate advanced machine learning capabilities into their applications, including natural language processing, computer vision, and time-series forecasting. Their platform focuses on scalability, security, and ease of use, targeting enterprises and developers seeking to leverage AI without building infrastructure from scratch. Neutrino AI is committed to responsible AI practices and provides comprehensive documentation and support for its services.

Neutrino AI is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Machine Learning, Data Analytics, Enterprise, and Platform.

Neutrino AI’s developer surface includes documentation, API reference, getting-started guide, support, pricing, signup flow, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.0/100 emerging ▬ flat Agent 0/100 human only Heartbeat 0/100 dormant Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 API

Artificial Intelligence Machine Learning Data Analytics Enterprise Platform Company

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 20.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 5.7 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.5 / 11

Contract Governance 0.0 / 10

Discoverability 5.2 / 9

Regulatory Posture 0.0 / 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

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 Ask about this →
Developer Ergonomics scores 33.3 — up to +13.3 composite points Ask about this →
Operational Transparency scores 4.8 — up to +12.4 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/neutrinoapp/apis.yml: open an issue on github.com/api-evangelist/neutrinoapp 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 →

APIs 1

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

Neutrino AI API

Neutrino AI provides AI-powered APIs for natural language processing, computer vision, time-series forecasting and more.

Neutrino AI API pricing

Prices published by Neutrino AI, read 2026-10-21 from docs.neutrinoapp.com/pricing/models.md.

Plan	Price
GPT-4o	$5
GPT-4-Turbo	$10
GPT-4	$30
GPT-3.5	$1
Claude 3 Opus	$15
Claude 3 Sonnet	$3
Claude 3 Haiku	$0.25
Claude 2.1	$8

All 38 plans, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Neutrino AI Plans Pricing

38 plans

PLANS

Security Posture 1

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

Neutrino AI Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

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

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: neutrinoapp
name: Neutrino AI
description: Neutrino AI provides AI-powered solutions for data analysis, automation, and predictive modeling. The company
  offers a suite of APIs that enable developers to integrate advanced machine learning capabilities into their applications,
  including natural language processing, computer vision, and time-series forecasting. Their platform focuses on scalability,
  security, and ease of use, targeting enterprises and developers seeking to leverage AI without building infrastructure from
  scratch. Neutrino AI is committed to responsible AI practices and provides comprehensive documentation and support for its
  services.
url: https://raw.githubusercontent.com/api-evangelist/neutrinoapp/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-21 (modular-v1; was harvest)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-10-21'
modified: '2026-10-21'
tags:
- Artificial Intelligence
- Machine Learning
- Data Analytics
- Enterprise
- Platform
- Company
tags_raw:
- AI
- Machine-Learning
- Data-Analytics
- Enterprise
- Platform
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/neutrinoapp-plans-pricing.yml
- type: LLMsTxt
  url: llms/neutrinoapp-llms.txt
- type: AgentCard
  url: a2a/neutrinoapp-a2a.yml
- type: WellKnown
  url: well-known/neutrinoapp-well-known.yml
- type: Hosts
  url: hosts/neutrinoapp-hosts.yml
- type: Vendors
  url: vendors/neutrinoapp-vendors.yml
- type: DomainSecurity
  url: security/neutrinoapp-domain-security.yml
- type: Website
  url: https://neutrinoapp.com/
- type: Documentation
  url: https://docs.neutrinoapp.com/
- type: APIReference
  url: https://docs.neutrinoapp.com/api-reference/openapi.json
- type: GettingStarted
  url: https://docs.neutrinoapp.com/introduction.md
- type: Support
  url: https://platform.neutrinoapp.com/
- type: GitHubOrganization
  url: https://github.com/neutrino-ai
- type: Pricing
  url: https://docs.neutrinoapp.com/pricing/models.md
- type: SignUp
  url: https://platform.neutrinoapp.com/signup
apis:
- name: Neutrino AI API
  description: Neutrino AI provides AI-powered APIs for natural language processing, computer vision, time-series forecasting
    and more.
  humanURL: https://docs.neutrinoapp.com/introduction.md
  baseURL: null
  aid: neutrinoapp:neutrino-ai-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: OpenAPI spec at /api-reference/openapi.json is a sample unrelated to Neutrino AI, indicating docs are not machine‑readable
    for the real API.
  evidence:
  - url: https://docs.neutrinoapp.com/api-reference/openapi.json
    status: 200
  checked: '2026-10-21'
x-enrichment:
  date: '2026-10-21'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Neutrino AI API — frequently asked questions

Does Neutrino AI have an API?

Yes. APIs.io lists 1 API from Neutrino AI, including Neutrino AI API.

How much does the Neutrino AI API cost?

Neutrino AI publishes its prices; its GPT-4o plan is $5 as of 2026-10-21. APIs.io lists 38 pricing plans for Neutrino AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Neutrino AI API ready for AI agents?

Neutrino AI has a Kin Score of 20.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

Work with this as data

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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.

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