DataGrout

DataGrout provides AI agents with memory, reliability, and cost control. It offers a platform to connect to any system, remember across sessions, and run continuously without burning budgets. Built for production teams, it includes tools for data integration, prompt injection defense, and AI workflow automation, targeting enterprises across finance, healthcare, gaming, and more.

DataGrout is listed with 2 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Enterprise, Platform, Memory, and Tools.

The DataGrout catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.

DataGrout’s developer surface includes authentication, sandbox, pricing, getting-started guide, documentation, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.0/100 thin Agent 40/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessSelf serve

2 APIs

Artificial Intelligence Enterprise Platform Memory Tools

Kin Score

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

Composite quality — 37.0/100 · thin

Contract Quality 7.2 / 21

Developer Ergonomics 9.7 / 17

Access Clarity 5.4 / 17

Operational Transparency 1.5 / 11

Contract Governance 2.2 / 10

Discoverability 4.9 / 9

Regulatory Posture 3.0 / 15

Agent readiness — 40/100 · agent ready

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 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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):

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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 33.9 — up to +16.5 composite points
Access Clarity scores 31.6 — up to +13.7 composite points
Operational Transparency scores 13.2 — up to +11.3 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/datagrout-ai/apis.yml: open an issue on github.com/api-evangelist/datagrout-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 →

Standards implemented 2

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.

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 2

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

DataGrout API

API for DataGrout platform, documented at the developer portal.

DataGrout API

DataGrout API as documented publicly: 21 operations. Contract generated from the documentation by API Evangelist (2026-11-05); not the provider's own document.

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Datagrout Ai Webhooks

ASYNCAPI

Semantic Vocabularies 1

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

Datagrout Ai Context

26 classes · 38 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

DataGrout API Rules

46 rules · 42 errors 3 warnings 1 info

SPECTRAL

JSON Schema 6

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

GetTasksTaskidResponse

5 properties

JSON SCHEMA

PostAnswersResponse

8 properties

JSON SCHEMA

PostApiV1ServersUuidConclusionsRequest

3 properties

JSON SCHEMA

PostConclusionsRequest

8 properties

JSON SCHEMA

PostMemoriesNameRecallResponse

5 properties

JSON SCHEMA

PostTransformsResponse

5 properties

JSON SCHEMA

Security Posture 2

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

Datagrout Ai Authentication

3 schemes

SECURITY

Datagrout Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

Sandbox

Sandbox

Login

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

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 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Webhooks

DataModel

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: datagrout-ai
name: DataGrout
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Self-serve signup
  confidence: medium
  probe_state: unreadable
  source:
  - authentication
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
image: https://media.base44.com/images/public/68eadd766119b64d13710a59/cae7bbd53_YouTubeCoverImage1.png/v1/fill/w_1200,h_630/cae7bbd53_YouTubeCoverImage1.png
description: DataGrout provides AI agents with memory, reliability, and cost control. It offers a platform to connect to any
  system, remember across sessions, and run continuously without burning budgets. Built for production teams, it includes
  tools for data integration, prompt injection defense, and AI workflow automation, targeting enterprises across finance,
  healthcare, gaming, and more.
url: https://artifacts.apis.io/datagrout-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-05 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-05'
modified: '2026-11-05'
tags:
- Artificial Intelligence
- Enterprise
- Platform
- Memory
- Tools
tags_raw:
- AI
- Enterprise
- Platform
- Memory
- Tools
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/datagrout-ai-rules.yml
- type: JSONLD
  url: json-ld/datagrout-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/datagrout-ai-vocabulary.yml
- type: Webhooks
  url: asyncapi/datagrout-ai-webhooks.yml
- type: DataModel
  url: data-model/datagrout-ai-data-model.yml
- type: Authentication
  url: authentication/datagrout-ai-authentication.yml
- type: Conformance
  url: conformance/datagrout-ai-conformance.yml
- type: LLMsTxt
  url: llms/datagrout-ai-llms.txt
- type: WellKnown
  url: well-known/datagrout-ai-well-known.yml
- type: Hosts
  url: hosts/datagrout-ai-hosts.yml
- type: Vendors
  url: vendors/datagrout-ai-vendors.yml
- type: SDKs
  url: packages/datagrout-ai-packages.yml
- type: Packages
  url: packages/datagrout-ai-packages.yml
- type: TrustCenter
  url: https://trust.datagrout.ai/users/log-in
- type: Sandbox
  url: https://library.datagrout.ai/sandbox
- type: Pricing
  url: https://datagrout.ai/pricing
- type: Login
  url: https://api.datagrout.ai/users/log-in
- type: DeveloperPortal
  url: https://datagrout.ai/roles/developer
- type: GettingStarted
  url: https://docs.datagrout.ai/quick-start
- type: Documentation
  url: https://docs.datagrout.ai/
- type: GitHubOrganization
  url: https://github.com/DataGrout
- type: DomainSecurity
  url: security/datagrout-ai-domain-security.yml
- type: Website
  url: https://datagrout.ai/
apis:
- name: DataGrout API
  description: API for DataGrout platform, documented at the developer portal.
  humanURL: https://datagrout.ai/roles/developer
  baseURL: null
  aid: datagrout-ai:datagrout-api
- aid: datagrout-ai:datagrout-ai-api
  name: DataGrout API
  description: 'DataGrout API as documented publicly: 21 operations. Contract generated from the documentation by API Evangelist
    (2026-11-05);

    not the provider''s own document.'
  humanURL: https://docs.datagrout.ai/rest-api
  baseURL: https://gateway.datagrout.ai
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/datagrout-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/datagrout-ai-post-conclusions-request-schema.json
  - type: JSONSchema
    url: json-schema/datagrout-ai-post-api-v1-servers-uuid-conclusions-request-schema.json
  - type: JSONSchema
    url: json-schema/datagrout-ai-post-answers-response-schema.json
  - type: JSONSchema
    url: json-schema/datagrout-ai-get-tasks-taskid-response-schema.json
  - type: JSONSchema
    url: json-schema/datagrout-ai-post-memories-name-recall-response-schema.json
  - type: JSONSchema
    url: json-schema/datagrout-ai-post-transforms-response-schema.json
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Docs site renders HTML shells and hides the OpenAPI spec behind a JavaScript UI.
  evidence:
  - url: https://docs.datagrout.ai/openapi.json
    status: 200
  checked: '2026-11-05'
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 42
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

DataGrout API — frequently asked questions

Does DataGrout have an API?

Yes. APIs.io lists 2 APIs from DataGrout, including DataGrout API and DataGrout API.

Is there an OpenAPI specification for the DataGrout API?

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

How do I authenticate with the DataGrout API?

DataGrout documents its authentication (3 schemes). The details are profiled on APIs.io as Datagrout Ai Authentication.

Is the DataGrout API ready for AI agents?

DataGrout has a Kin Score of 37.0 out of 100 (thin) and an Agent Readiness score of 39.8 (agent-ready), scored by API Evangelist on 2026-11-06.

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