River AI, Inc.

River AI, Inc. provides an AI-powered platform that helps businesses automate data extraction, analysis, and decision-making processes. Leveraging advanced machine learning models, the service offers real-time insights, predictive analytics, and customizable workflows for enterprises across various industries. The company focuses on delivering scalable, secure, and easy-to-integrate solutions that enhance operational efficiency and drive innovation.

River AI, Inc. is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Automation, Data Analytics, and Enterprise.

The River AI, Inc. catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

River AI, Inc.’s developer surface includes changelog, authentication, support, getting-started guide, documentation, pricing, engineering blog, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

36.8/100 thin ▲ 9.4 Agent 17/100 agent aware Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Company Artificial Intelligence Automation Data Analytics Enterprise

Kin Score

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

Composite quality — 36.8/100 · thin

Contract Quality 4.5 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 3.6 / 17

Operational Transparency 2.6 / 11

Contract Governance 3.6 / 10

Discoverability 7.1 / 9

Regulatory Posture 3.7 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 18 / 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 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 0 / 5

Distinct Operations 0 / 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):

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 →
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 →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →

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 21.4 — up to +19.7 composite points Ask about this →
Access Clarity scores 21.3 — up to +15.7 composite points Ask about this →
Developer Ergonomics scores 50.0 — up to +10.0 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/river-ai/apis.yml: open an issue on github.com/api-evangelist/river-ai 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.

River AI, Inc. API

River AI, Inc. API as documented publicly: 5 operations. Contract generated from the documentation by API Evangelist (2026-10-18); not the provider's own document.

Rate Limits 1

Documented rate limits and quota policies.

River AI, Inc. Rate Limits

0 limits

RATE LIMITS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

River AI, Inc.

26 quoted statements, read from River AI, Inc.'s own page on 2026-11-10.

PRIVACY

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

River Ai Context

3 classes · 6 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

River AI, Inc. API Rules

12 rules · 10 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 3

Standalone JSON Schema definitions for this provider's data models.

GetV1ModelsResponse

1 properties

JSON SCHEMA

PostV1ChatCompletionsRequest

4 properties

JSON SCHEMA

PostV1ChatCompletionsResponse

2 properties

JSON SCHEMA

Security Posture 3

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

River AI, Inc. Authentication

1 scheme

SECURITY

River AI, Inc. Domain Security

TLSv1.3 · DMARC

SECURITY

River AI, Inc. Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 5

Authentication, authorization, and security posture

Authentication

Authentication

SecurityTxt

SecurityTxt

Security

Security

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

Coverage

DataProcessing

Source (apis.yml)

aid: river-ai
name: River AI, Inc.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://river.ai/assets/og-river-monogram.jpg
description: River AI, Inc. provides an AI-powered platform that helps businesses automate data extraction, analysis, and
  decision-making processes. Leveraging advanced machine learning models, the service offers real-time insights, predictive
  analytics, and customizable workflows for enterprises across various industries. The company focuses on delivering scalable,
  secure, and easy-to-integrate solutions that enhance operational efficiency and drive innovation.
url: https://raw.githubusercontent.com/api-evangelist/river-ai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Company
- Artificial Intelligence
- Automation
- Data Analytics
- Enterprise
tags_raw:
- Company
- AI
- Automation
- Data-Analytics
- Enterprise
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/river-ai-rules.yml
- type: JSONLD
  url: json-ld/river-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/river-ai-vocabulary.yml
- type: DataModel
  url: data-model/river-ai-data-model.yml
- type: ChangeLog
  url: changelog/river-ai-changelog.yml
- type: Authentication
  url: authentication/river-ai-authentication.yml
- type: Conformance
  url: conformance/river-ai-conformance.yml
- type: LLMsTxt
  url: llms/river-ai-llms.txt
- type: SecurityTxt
  url: well-known/river-ai-security.txt
- type: WellKnown
  url: well-known/river-ai-well-known.yml
- type: Hosts
  url: hosts/river-ai-hosts.yml
- type: Vendors
  url: vendors/river-ai-vendors.yml
- type: Support
  url: https://river.ai/support
- type: Security
  url: https://river.ai/security
- type: PrivacyPolicy
  url: https://river.ai/privacy-policy
- type: ChangeLog
  url: https://river.ai/changelog
- type: GettingStarted
  url: https://docs.river.ai/quickstart
- type: VulnerabilityDisclosure
  url: security/river-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/river-ai-domain-security.yml
- type: Website
  url: https://river.ai/
- type: Documentation
  url: https://docs.river.ai/
- type: Pricing
  url: https://river.ai/pricing
- type: Blog
  url: https://river.ai/blog
- type: DeveloperPortal
  url: https://console.river.ai/
- type: Coverage
  url: https://river.ai/
  x-coverage:
    state: unreadable
    reason: no-machine-readable-spec
    detail: No OpenAPI or other machine-readable contract found despite probing known endpoints.
    evidence:
    - url: https://api.river.ai/openapi.json
      status: 200
    checked: '2026-10-18'
- type: DataProcessing
  url: privacy/river-ai-privacy-policy.yml
apis:
- aid: river-ai:river-ai-api
  name: River AI, Inc. API
  description: 'River AI, Inc. API as documented publicly: 5 operations. Contract generated from the documentation by API
    Evangelist (2026-10-18); not the provider''s own document.'
  humanURL: https://docs.river.ai/guides/inference.md
  baseURL: https://api.river.ai
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/river-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/river-ai-post-v1-chat-completions-request-schema.json
  - type: JSONSchema
    url: json-schema/river-ai-post-v1-chat-completions-response-schema.json
  - type: JSONSchema
    url: json-schema/river-ai-get-v1-models-response-schema.json
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 25
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

River AI, Inc. API — frequently asked questions

Does River AI, Inc. have an API?

Yes. APIs.io lists 1 API from River AI, Inc., including River AI, Inc. API.

Is there an OpenAPI specification for the River AI, Inc. API?

Yes. APIs.io indexes 1 OpenAPI specification for River AI, Inc., each linked for download from this page.

How do I authenticate with the River AI, Inc. API?

River AI, Inc. uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as River AI, Inc. Authentication.

Is the River AI, Inc. API ready for AI agents?

River AI, Inc. has a Kin Score of 36.8 out of 100 (thin) and an Agent Readiness score of 17.0 (agent-aware), scored by API Evangelist on 2026-11-13.

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