iLang

iLang is an open protocol that enables communication between artificial intelligences. It defines a structured language for AI agents to exchange intents, data, and judgments, supporting versioned specifications, a runtime interpreter, and a suite of tools for developers. The protocol is MIT‑licensed, community‑driven, and aims to become a universal lingua franca for AI systems, facilitating interoperability, reproducibility, and transparent AI reasoning across platforms.

iLang publishes 1 API contract indexed on the APIs.io network: Agent API. Tagged areas include Company, Artificial Intelligence, Protocol, Open Source, and Interoperability.

The iLang catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

iLang’s developer surface includes sandbox, documentation, API reference, engineering blog, and 21 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

30.0/100 thin Agent 49/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

Company Artificial Intelligence Protocol Open Source Interoperability

Kin Score

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

Composite quality — 30.0/100 · thin

Contract Quality 12.0 / 21

Developer Ergonomics 2.5 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.9 / 11

Contract Governance 2.2 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 49/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 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):

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)
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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too

3 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 10.5 — up to +17.9 composite points
Developer Ergonomics scores 14.9 — up to +17.0 composite points
Operational Transparency scores 7.9 — up to +12.0 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/ilang-ai/apis.yml: open an issue on github.com/api-evangelist/ilang-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)

OpenAPI

measured — observed by APIs.io (published)

APIs 1

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

iLang Agent API

The Agent API from iLang — 3 operation(s) for agent.

MCP Servers 1

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

iLang MCP Server

Remote MCP server at ilang.ai.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

lookup

AGENT SKILL

Semantic Vocabularies 1

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

Ilang Ai Context

5 classes · 17 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

iLang API Rules

31 rules · 29 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Ilang Ai Openapi Overlay

0 actions · update

UNRECORDED

JSON Schema 3

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

FaqResult

3 properties

JSON SCHEMA

Health

3 properties

JSON SCHEMA

LookupResult

5 properties

JSON SCHEMA

Security Posture 1

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

Ilang Ai Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Ilang Ai Agentic Access

3 operations

3 operations · 0 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

Sandbox

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

MCPServer

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

Security

Security

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: ilang-ai
name: iLang
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://ilang.ai/ilang-logo.png
description: iLang is an open protocol that enables communication between artificial intelligences. It defines a structured
  language for AI agents to exchange intents, data, and judgments, supporting versioned specifications, a runtime interpreter,
  and a suite of tools for developers. The protocol is MIT‑licensed, community‑driven, and aims to become a universal lingua
  franca for AI systems, facilitating interoperability, reproducibility, and transparent AI reasoning across platforms.
url: https://artifacts.apis.io/ilang-ai/apis.yml
x-type: company
x-source: harvest:new-submission
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-04 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Company
- Artificial Intelligence
- Protocol
- Open Source
- Interoperability
tags_raw:
- Company
- AI
- Protocol
- Open-Source
- Interoperability
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/ilang-ai-agentic-access.yml
- type: Spectral
  url: rules/ilang-ai-rules.yml
- type: JSONLD
  url: json-ld/ilang-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/ilang-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/ilang-ai-data-model.yml
- type: ErrorCatalog
  url: errors/ilang-ai-problem-types.yml
- type: Conformance
  url: conformance/ilang-ai-conformance.yml
- type: LLMsTxt
  url: llms/ilang-ai-llms.txt
- type: AgentCard
  url: a2a/ilang-ai-a2a.yml
- type: ToolCrosswalk
  url: mcp/ilang-ai-tool-crosswalk.yml
- type: MCPServer
  url: mcp/ilang-ai-mcp.yml
- type: WellKnown
  url: well-known/ilang-ai-well-known.yml
- type: Hosts
  url: hosts/ilang-ai-hosts.yml
- type: Vendors
  url: vendors/ilang-ai-vendors.yml
- type: Security
  url: https://ilang.ai/security/
- type: Sandbox
  url: https://ilang.ai/playground/
- type: GitHubOrganization
  url: https://github.com/ilang-ai
- type: DomainSecurity
  url: security/ilang-ai-domain-security.yml
- type: Website
  url: https://ilang.ai
- type: Documentation
  url: https://github.com/ilang-ai/ilang-spec
- type: APIReference
  url: https://ilang.ai/spec/
- type: Blog
  url: https://ilang.ai/blog
- type: PrivacyPolicy
  url: https://ilang.ai/privacy
- type: TermsOfService
  url: https://ilang.ai/terms
apis:
- aid: ilang-ai:ilang-ai-agent-api
  name: iLang Agent API
  description: The Agent API from iLang — 3 operation(s) for agent.
  humanURL: https://ilang.ai/spec/
  baseURL: https://ilang.ai
  tags:
  - Agents
  tags_raw:
  - Agent
  properties:
  - type: OpenAPI
    url: openapi/ilang-ai-agent-api-openapi.yml
  - type: JSONSchema
    url: json-schema/ilang-ai-faq-result-schema.json
  - type: JSONSchema
    url: json-schema/ilang-ai-lookup-result-schema.json
  - type: JSONSchema
    url: json-schema/ilang-ai-health-schema.json
x-submission-notes: MIT protocol; hosted MCP https://mcp.ilang.ai/mcp
x-submitted-by: assistant@ilang.ai (apisio-add-form, 2026-11-03)
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 32
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

iLang API — frequently asked questions

Does iLang have an API?

Yes. APIs.io lists 1 API from iLang, including iLang Agent API.

Is there an OpenAPI specification for the iLang API?

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

Does iLang have an MCP server?

Yes. APIs.io lists 1 MCP server for iLang: Remote MCP server at ilang.ai.

Is the iLang API ready for AI agents?

iLang has a Kin Score of 30.0 out of 100 (thin) and an Agent Readiness score of 49.0 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

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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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