DecisionNext

DecisionNext is a San Francisco-founded (2015) AI and machine-learning software company whose prescriptive analytics platform helps commodity-driven businesses decide what to buy and sell, when, at what price, and on what formula. The platform is organised in three layers — MarketView (transparent, commodity-specific price and supply forecasts built on USDA, CME and 100+ other market sources), Enterprise (scenario, formula, mix and timing optimisation through applications such as ScenarioLab, DecisionBuilder, MarketSim, DataMiner, YieldMax and MarketPosition) and Governance (executive accountability and market benchmarking). It serves food and agriculture (beef, pork, poultry, dairy, grains, edible oils) and natural resources (iron ore, thermal coal, LNG, copper, nickel, zinc, shipping). DecisionNext is delivered as a SaaS product — sold direct and through AWS Marketplace — and, as of this profiling pass, publishes no public API, SDK, developer portal or machine-readable specification.

DecisionNext is profiled on the APIs.io network. Tagged areas include Company, Analytics, Artificial Intelligence, Machine Learning, and Forecasting.

DecisionNext’s developer surface includes engineering blog, support, pricing, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.4/100 emerging ▬ flat Agent 3/100 human only Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Analytics Artificial Intelligence Machine Learning Forecasting Commodities Agriculture Food and BeverageMining and Natural ResourcesSupply Chain Procurement Pricing Risk Management Decision Support Software-as-a-Service

Kin Score

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

Composite quality — 19.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 10.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 2.6 / 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 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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
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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Operational Transparency scores 0.0 — up to +13.0 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/decisionnext/apis.yml: open an issue on github.com/api-evangelist/decisionnext 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
Procurement and B2B Buying (source-to-pay suites, spend management)	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.

DecisionNext API pricing

Prices published by DecisionNext.

Plan	Price
DecisionNext Direct Annual License	$103392.0

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Decisionnext Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Decisionnext Rate Limits

0 limits

RATE LIMITS

Security Posture 1

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

Decisionnext Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

PrivacyPolicy

TermsOfService

Pricing

Plans

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Source (apis.yml)

aid: decisionnext
name: DecisionNext
description: DecisionNext is a San Francisco-founded (2015) AI and machine-learning software company whose prescriptive analytics
  platform helps commodity-driven businesses decide what to buy and sell, when, at what price, and on what formula. The platform
  is organised in three layers — MarketView (transparent, commodity-specific price and supply forecasts built on USDA, CME
  and 100+ other market sources), Enterprise (scenario, formula, mix and timing optimisation through applications such as
  ScenarioLab, DecisionBuilder, MarketSim, DataMiner, YieldMax and MarketPosition) and Governance (executive accountability
  and market benchmarking). It serves food and agriculture (beef, pork, poultry, dairy, grains, edible oils) and natural resources
  (iron ore, thermal coal, LNG, copper, nickel, zinc, shipping). DecisionNext is delivered as a SaaS product — sold direct
  and through AWS Marketplace — and, as of this profiling pass, publishes no public API, SDK, developer portal or machine-readable
  specification.
url: https://raw.githubusercontent.com/api-evangelist/decisionnext/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: stub
x-tier-reason: harvest
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  probe_state: none
  source:
  - plans
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-08-12'
modified: '2026-08-12'
image: https://decisionnext.com/images/dn-logo-color.svg
tags:
- Company
- Analytics
- Artificial Intelligence
- Machine Learning
- Forecasting
- Commodities
- Agriculture
- Food and Beverage
- Mining and Natural Resources
- Supply Chain
- Procurement
- Pricing
- Risk Management
- Decision Support
- Software-as-a-Service
tags_raw:
- Company
- Analytics
- Artificial Intelligence
- Machine Learning
- Forecasting
- Commodities
- Agriculture
- Food and Beverage
- Mining and Natural Resources
- Supply Chain
- Procurement
- Pricing
- Risk Management
- Decision Support
- SaaS
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/decisionnext-domain-security.yml
- type: Website
  url: https://decisionnext.com/
- type: Blog
  url: https://decisionnext.com/blog/
- type: Support
  url: https://decisionnext.com/contact-us/
- type: PrivacyPolicy
  url: https://decisionnext.com/privacy-policy/
- type: TermsOfService
  url: https://decisionnext.com/terms-conditions/
- type: LinkedIn
  url: https://www.linkedin.com/company/decisionnext/
- type: Pricing
  url: https://aws.amazon.com/marketplace/pp/prodview-b2s6cxniqaysm
- type: Compliance
  url: https://decisionnext.com/company/
- type: Plans
  url: plans/decisionnext-plans-pricing.yml
- type: RateLimits
  url: rate-limits/decisionnext-rate-limits.yml
- type: LLMsTxt
  url: llms/decisionnext-llms.txt
x-enrichment:
  date: '2026-08-12'
  status: minimal
  artifacts_added: 6
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: DecisionNext ships an enterprise SaaS analytics product only — api., docs. and developer.decisionnext.com do not
    resolve in DNS, the 294-URL sitemap contains no developer, API or documentation page, and every /.well-known/, /openapi.json,
    /swagger.json and /api-docs probe on decisionnext.com returned 404; its GitHub org exists but has zero public repositories.
  evidence:
  - url: https://decisionnext.com/openapi.json
    status: 404
  - url: https://decisionnext.com/.well-known/api-catalog
    status: 404
  - url: https://decisionnext.com/developers
    status: 404
  - url: https://decisionnext.com/sitemap.xml
    status: 200
  - url: https://api.github.com/orgs/DecisionNext/repos
    status: 200
  checked: '2026-08-12'

DecisionNext API — frequently asked questions

How much does the DecisionNext API cost?

DecisionNext publishes its prices; its DecisionNext Direct Annual License plan is $103392.0 as of 2026-08-12. APIs.io lists 1 pricing plan for DecisionNext, with each plan's price, limits and inclusions under Pricing on this page.

Is the DecisionNext API ready for AI agents?

DecisionNext has a Kin Score of 19.4 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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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.
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