Fine Structure

Fine Structure builds your systems, commands autonomous AI agent teams, and gives your business a brain over all your data. It offers full apps, automation, and integrations from one prompt, enabling developers to create software by describing desired outcomes. The platform provides a unified API for building, running, and managing AI-driven workflows across data sources, with support for custom agents, scaling, and monitoring.

Fine Structure publishes 4 API contracts indexed on the APIs.io network, including Bridge API, Discovery API, MCP API, and 1 more. Tagged areas include Artificial Intelligence, Automation, Platform, Integration, and Business.

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

Fine Structure’s developer surface includes authentication, support, pricing, getting-started guide, documentation, API reference, and 17 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

39.9/100 developing Agent 54/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 1 Agent Skills

Artificial Intelligence Automation Platform Integration Business

Kin Score

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

Composite quality — 39.9/100 · developing

Contract Quality 12.5 / 21

Developer Ergonomics 8.0 / 17

Access Clarity 4.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 6.5 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 54/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 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 4 / 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 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 →
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 →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too Ask about this →
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's Ask about this →

1 more unmet check in the Agent Readiness table above.

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

Access Clarity scores 25.5 — up to +14.9 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →
Developer Ergonomics scores 47.0 — up to +10.6 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/finestructure-ai/apis.yml: open an issue on github.com/api-evangelist/finestructure-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)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Fine Structure Bridge API

Generic call-by-name REST bridge

Fine Structure Discovery API

Unauthenticated discovery and health endpoints

Fine Structure MCP API

Model Context Protocol (JSON-RPC 2.0)

Fine Structure Tools API

Per-tool REST operations (one per Fine Structure tool)

Agent Skills 1

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

finestructure-ai-create-and-publish-app

AGENT SKILL

Semantic Vocabularies 1

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

Finestructure Ai Context

3 classes · 8 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.

Fine Structure API Rules

68 rules · 59 error-severity 8 warn-severity 1 info-severity

SPECTRAL

JSON Schema 7

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

Agent

0 properties

JSON SCHEMA

JsonRpcRequest

4 properties

JSON SCHEMA

Outcome

0 properties

JSON SCHEMA

Speech

0 properties

JSON SCHEMA

ToolResult

3 properties

JSON SCHEMA

Variant

0 properties

JSON SCHEMA

Window

0 properties

JSON SCHEMA

Scroll for all 7

Security Posture 2

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

Fine Structure Authentication

1 scheme

SECURITY

Fine Structure Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

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

Fine Structure Agentic Access

372 operations · 253 acting · 9 human-in-the-loop

372 operations · 253 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

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: finestructure-ai
name: Fine Structure
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://finestructure.ai/og-image.png
description: Fine Structure builds your systems, commands autonomous AI agent teams, and gives your business a brain over
  all your data. It offers full apps, automation, and integrations from one prompt, enabling developers to create software
  by describing desired outcomes. The platform provides a unified API for building, running, and managing AI-driven workflows
  across data sources, with support for custom agents, scaling, and monitoring.
url: https://artifacts.apis.io/finestructure-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-08 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-08'
modified: '2026-11-08'
tags:
- Artificial Intelligence
- Automation
- Platform
- Integration
- Business
tags_raw:
- AI
- Automation
- Platform
- Integration
- Business
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/finestructure-ai-agentic-access.yml
- type: Spectral
  url: rules/finestructure-ai-rules.yml
- type: JSONLD
  url: json-ld/finestructure-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/finestructure-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/finestructure-ai-data-model.yml
- type: Authentication
  url: authentication/finestructure-ai-authentication.yml
- type: ErrorCatalog
  url: errors/finestructure-ai-problem-types.yml
- type: Conformance
  url: conformance/finestructure-ai-conformance.yml
- type: LLMsTxt
  url: llms/finestructure-ai-llms.txt
- type: AgentCard
  url: a2a/finestructure-ai-a2a.yml
- type: WellKnown
  url: well-known/finestructure-ai-well-known.yml
- type: Hosts
  url: hosts/finestructure-ai-hosts.yml
- type: Vendors
  url: vendors/finestructure-ai-vendors.yml
- type: TermsOfService
  url: https://finestructure.ai/terms
- type: Support
  url: https://finestructure.ai/support
- type: PrivacyPolicy
  url: https://finestructure.ai/privacy
- type: Pricing
  url: https://finestructure.ai/pricing
- type: GettingStarted
  url: https://finestructure.ai/docs/quickstart
- type: Documentation
  url: https://docs.finestructure.ai/
- type: APIReference
  url: https://finestructure.ai/docs
- type: DomainSecurity
  url: security/finestructure-ai-domain-security.yml
- type: Website
  url: https://finestructure.ai/
apis:
- aid: finestructure-ai:finestructure-ai-bridge-api
  name: Fine Structure Bridge API
  description: Generic call-by-name REST bridge
  humanURL: https://finestructure.ai/docs
  baseURL: https://finestructure.ai
  tags:
  - Bridge
  tags_raw:
  - bridge
  properties:
  - type: OpenAPI
    url: openapi/finestructure-ai-bridge-api-openapi.yml
  - type: JSONSchema
    url: json-schema/finestructure-ai-tool-result-schema.json
- aid: finestructure-ai:finestructure-ai-discovery-api
  name: Fine Structure Discovery API
  description: Unauthenticated discovery and health endpoints
  humanURL: https://finestructure.ai/docs
  baseURL: https://finestructure.ai
  tags:
  - Discovery
  tags_raw:
  - discovery
  properties:
  - type: OpenAPI
    url: openapi/finestructure-ai-discovery-api-openapi.yml
- aid: finestructure-ai:finestructure-ai-mcp-api
  name: Fine Structure MCP API
  description: Model Context Protocol (JSON-RPC 2.0)
  humanURL: https://finestructure.ai/docs
  baseURL: https://finestructure.ai
  tags:
  - MCP
  tags_raw:
  - mcp
  properties:
  - type: OpenAPI
    url: openapi/finestructure-ai-mcp-api-openapi.yml
  - type: JSONSchema
    url: json-schema/finestructure-ai-json-rpc-request-schema.json
- aid: finestructure-ai:finestructure-ai-tools-api
  name: Fine Structure Tools API
  description: Per-tool REST operations (one per Fine Structure tool)
  humanURL: https://finestructure.ai/docs
  baseURL: https://finestructure.ai
  tags:
  - Tools
  tags_raw:
  - tools
  properties:
  - type: OpenAPI
    url: openapi/finestructure-ai-tools-api-openapi.yml
  - type: JSONSchema
    url: json-schema/finestructure-ai-agent-schema.json
  - type: JSONSchema
    url: json-schema/finestructure-ai-outcome-schema.json
  - type: JSONSchema
    url: json-schema/finestructure-ai-speech-schema.json
  - type: JSONSchema
    url: json-schema/finestructure-ai-variant-schema.json
  - type: JSONSchema
    url: json-schema/finestructure-ai-window-schema.json
x-enrichment:
  date: '2026-11-08'
  status: enriched
  artifacts_added: 39
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Fine Structure API — frequently asked questions

Does Fine Structure have an API?

Yes. APIs.io lists 4 APIs from Fine Structure, including Fine Structure Bridge API, Fine Structure Discovery API and Fine Structure MCP API, and 1 more.

Is there an OpenAPI specification for the Fine Structure API?

Yes. APIs.io indexes 4 OpenAPI specifications for Fine Structure, each linked for download from this page.

How do I authenticate with the Fine Structure API?

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

Is the Fine Structure API ready for AI agents?

Fine Structure has a Kin Score of 39.9 out of 100 (developing) and an Agent Readiness score of 54.0 (agent-ready), scored by API Evangelist on 2026-11-13.

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