ifrCoworker

ifrCoworker provides a rule‑based accounting colleague for AI agents, offering real‑time financial reporting, automated journal entries, XBRL tagging, and disclosure checklists. It integrates via MCP, A2A, and REST APIs, supporting continuous, machine‑assisted accounting flows for enterprises. The platform includes 31 standards, 20 tools, and comprehensive documentation, enabling seamless AI‑driven financial operations.

ifrCoworker is listed with 2 APIs on the APIs.io network. Tagged areas include Accounting, Artificial Intelligence, Financial Reporting, IFRS, and MCP.

The ifrCoworker catalog on APIs.io includes 1 Spectral governance ruleset.

ifrCoworker’s developer surface includes authentication, documentation, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.6/100 emerging Agent 42/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

2 APIs 1 MCP Servers

Accounting Artificial Intelligence Financial ReportingIFRSMCP

Kin Score

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

Composite quality — 20.6/100 · emerging

Contract Quality 2.2 / 21

Developer Ergonomics 3.6 / 17

Access Clarity 1.4 / 17

Operational Transparency 1.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.7 / 9

Regulatory Posture 3.7 / 15

Agent readiness — 42/100 · agent ready

Machine-Readable Contract 18 / 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 0 / 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):

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 →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →

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 10.5 — up to +22.4 composite points Ask about this →
Access Clarity scores 8.5 — up to +18.3 composite points Ask about this →
Developer Ergonomics scores 21.4 — up to +15.7 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/ifrcoworker-app/apis.yml: open an issue on github.com/api-evangelist/ifrcoworker-app 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 2

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

ifrcoworker API

API documentation is behind a sign‑in wall; only preview of standards is visible without authentication.

ifrCoworker API

ifrCoworker API as documented publicly: 5 operations. Contract generated from the documentation by API Evangelist (2026-11-12); not the provider's own document.

MCP Servers 1

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

ifrCoworker MCP Server

Remote MCP server at mcp.ifrcoworker.app.

MCP SERVER

Spectral Rules 1

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

ifrCoworker API Rules

28 rules · 26 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 3

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

ifrCoworker Authentication

1 scheme

SECURITY

ifrCoworker Domain Security

TLSv1.3 · HSTS

SECURITY

ifrCoworker Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Vocabulary

Vocabulary

Conformance

Conformance

Access & Security 6

Authentication, authorization, and security posture

Security

Authentication

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Source (apis.yml)

aid: ifrcoworker-app
name: ifrCoworker
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://ifrcoworker.app/s/ifrcoworker-og.png
description: ifrCoworker provides a rule‑based accounting colleague for AI agents, offering real‑time financial reporting,
  automated journal entries, XBRL tagging, and disclosure checklists. It integrates via MCP, A2A, and REST APIs, supporting
  continuous, machine‑assisted accounting flows for enterprises. The platform includes 31 standards, 20 tools, and comprehensive
  documentation, enabling seamless AI‑driven financial operations.
url: https://artifacts.apis.io/ifrcoworker-app/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-12 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Accounting
- Artificial Intelligence
- Financial Reporting
- IFRS
- MCP
tags_raw:
- Accounting
- AI
- Financial-Reporting
- IFRS
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/ifrcoworker-app-rules.yml
- type: Vocabulary
  url: vocabulary/ifrcoworker-app-vocabulary.yml
- type: Security
  url: https://ifrcoworker.app/terms
- type: Authentication
  url: authentication/ifrcoworker-app-authentication.yml
- type: Conformance
  url: conformance/ifrcoworker-app-conformance.yml
- type: LLMsTxt
  url: llms/ifrcoworker-app-llms.txt
- type: AgentCard
  url: a2a/ifrcoworker-app-a2a.yml
- type: MCPServer
  url: mcp/ifrcoworker-app-mcp.yml
- type: SecurityTxt
  url: well-known/ifrcoworker-app-security.txt
- type: SecurityTxt
  url: well-known/ifrcoworker-app-mcp-security.txt
- type: WellKnown
  url: well-known/ifrcoworker-app-well-known.yml
- type: Hosts
  url: hosts/ifrcoworker-app-hosts.yml
- type: VulnerabilityDisclosure
  url: security/ifrcoworker-app-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/ifrcoworker-app-domain-security.yml
- type: Website
  url: https://ifrcoworker.app/
- type: Documentation
  url: https://ifrcoworker.app/api-docs/ifrs/
- type: TermsOfService
  url: https://ifrcoworker.app/terms
apis:
- name: ifrcoworker API
  description: API documentation is behind a sign‑in wall; only preview of standards is visible without authentication.
  humanURL: https://ifrcoworker.app/api-docs/ifrs/
  baseURL: null
  aid: ifrcoworker-app:ifrcoworker-api
- aid: ifrcoworker-app:ifrcoworker-app-api
  name: ifrCoworker API
  description: 'ifrCoworker API as documented publicly: 5 operations. Contract generated from the documentation by API Evangelist
    (2026-11-12); not the provider''s own document.'
  humanURL: https://ifrcoworker.app/api-docs/ifrs
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/ifrcoworker-app-openapi-generated.yml
    x-provenance: generated
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Documentation requires sign‑in to view full OpenAPI spec, only preview is public.
  evidence:
  - url: https://ifrcoworker.app/api-docs/ifrs/
    status: 200
  checked: '2026-11-12'
x-enrichment:
  date: '2026-11-12'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

ifrCoworker API — frequently asked questions

Does ifrCoworker have an API?

Yes. APIs.io lists 2 APIs from ifrCoworker, including ifrcoworker API and ifrCoworker API.

Is there an OpenAPI specification for the ifrCoworker API?

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

How do I authenticate with the ifrCoworker API?

ifrCoworker documents its authentication (1 scheme). The details are profiled on APIs.io as ifrCoworker Authentication.

Does ifrCoworker have an MCP server?

Yes. APIs.io lists 1 MCP server for ifrCoworker: Remote MCP server at mcp.ifrcoworker.app.

Is the ifrCoworker API ready for AI agents?

ifrCoworker has a Kin Score of 20.6 out of 100 (emerging) and an Agent Readiness score of 42.1 (agent-ready), scored by API Evangelist on 2026-11-13.

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