Decision Log

Decision Log provides a system of record for decisions made by people and AI agents, offering immutable decision storage, provenance, audit trails, and supersession history. Teams can retrieve, review, and manage decisions through a web app, REST API, GraphQL endpoint, CLI, or MCP, ensuring reliable retrieval and governance across organizational workflows. The platform supports authentication, role‑based access, rate‑limits, and sandboxed agent interactions, enabling secure and auditable decision management.

Decision Log is listed with 1 API on the APIs.io network. Tagged areas include DecisionLog, Artificial Intelligence, Knowledge Management, Audit Trail, and Collaboration.

Decision Log’s developer surface includes CLI, sandbox, documentation, getting-started guide, pricing, signup flow, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

23.6/100 emerging Agent 31/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers

DecisionLogArtificial Intelligence Knowledge Management Audit Trail Collaboration

Kin Score

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

Composite quality — 23.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.8 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 31/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

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 0.0 — up to +25.0 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points
Developer Ergonomics scores 35.7 — up to +12.9 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/decisionlog-ai/apis.yml: open an issue on github.com/api-evangelist/decisionlog-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 4

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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

Decision Log API

REST API generated from the GraphQL schema

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Decision Log MCP Server

Remote MCP server at www.decisionlog.ai requiring OAuth.

MCP SERVER

Decision Log API pricing

Prices published by Decision Log, read 2026-11-05 from www.decisionlog.ai/pricing. A free plan or tier is listed.

Plan	Price
Individual	Free
Team	$10 per user per month, or $40 per user per year

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Decisionlog Ai Plans Pricing

2 plans

PLANS

Security Posture 1

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

Decisionlog Ai Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

Sandbox

Sandbox

GettingStarted

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Vocabulary

Vocabulary

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

CLI

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

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: decisionlog-ai
name: Decision Log
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
image: https://www.decisionlog.ai/og/marketing/home.png
description: Decision Log provides a system of record for decisions made by people and AI agents, offering immutable decision
  storage, provenance, audit trails, and supersession history. Teams can retrieve, review, and manage decisions through a
  web app, REST API, GraphQL endpoint, CLI, or MCP, ensuring reliable retrieval and governance across organizational workflows.
  The platform supports authentication, role‑based access, rate‑limits, and sandboxed agent interactions, enabling secure
  and auditable decision management.
url: https://artifacts.apis.io/decisionlog-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:
- DecisionLog
- Artificial Intelligence
- Knowledge Management
- Audit Trail
- Collaboration
tags_raw:
- DecisionLog
- AI
- KnowledgeManagement
- AuditTrail
- Collaboration
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/decisionlog-ai-plans-pricing.yml
- type: Vocabulary
  url: vocabulary/decisionlog-ai-vocabulary.yml
- type: CLI
  url: cli/decisionlog-ai-cli.yml
- type: Sandbox
  url: sandbox/decisionlog-ai-sandbox.yml
- type: Conformance
  url: conformance/decisionlog-ai-conformance.yml
- type: AgentCard
  url: a2a/decisionlog-ai-a2a.yml
- type: MCPServer
  url: mcp/decisionlog-ai-mcp.yml
- type: WellKnown
  url: well-known/decisionlog-ai-well-known.yml
- type: Hosts
  url: hosts/decisionlog-ai-hosts.yml
- type: Vendors
  url: vendors/decisionlog-ai-vendors.yml
- type: Sandbox
  url: https://www.decisionlog.ai/sandbox
- type: DomainSecurity
  url: security/decisionlog-ai-domain-security.yml
- type: Website
  url: https://www.decisionlog.ai/
- type: Documentation
  url: https://www.decisionlog.ai/docs
- type: GettingStarted
  url: https://www.decisionlog.ai/sign-up
- type: Pricing
  url: https://www.decisionlog.ai/pricing
- type: SignUp
  url: https://www.decisionlog.ai/sign-up
apis:
- name: Decision Log API
  description: REST API generated from the GraphQL schema
  humanURL: https://www.decisionlog.ai/docs
  baseURL: https://www.decisionlog.ai
  aid: decisionlog-ai:decision-log-api
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 25
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Decision Log API — frequently asked questions

Does Decision Log have an API?

Yes. APIs.io lists 1 API from Decision Log, including Decision Log API.

How much does the Decision Log API cost?

Decision Log publishes its prices; its Team plan is $10 per user per month, or $40 per user per year as of 2026-11-05. APIs.io lists 2 pricing plans for Decision Log, with each plan's price, limits and inclusions under Pricing on this page.

Does Decision Log have an MCP server?

Yes. APIs.io lists 1 MCP server for Decision Log: Remote MCP server at www.decisionlog.ai requiring OAuth.

Is the Decision Log API ready for AI agents?

Decision Log has a Kin Score of 23.6 out of 100 (emerging) and an Agent Readiness score of 30.8 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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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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