IronShard

IronShard provides governed S3-compatible storage tailored for AI agents, enabling secure, copy‑on‑write bucket branches that agents can access via the Managed Compute Protocol (MCP). Their platform offers per‑agent access control, automatic snapshots, and a zero‑credit‑card free tier, positioning it as a storage solution for autonomous AI workloads. The service includes detailed audit logs, compliance controls, and integration guides for popular LLMs, aiming to simplify data management for agentic applications.

IronShard is listed with 1 API on the APIs.io network. Tagged areas include Storage, Artificial Intelligence, Cloud, S3, and MCP.

IronShard’s developer surface includes authentication, documentation, pricing, getting-started guide, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

28.8/100 thin Agent 6/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers

Storage Artificial Intelligence Cloud S3 MCP

Kin Score

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

Composite quality — 28.8/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.3 / 17

Access Clarity 9.4 / 17

Operational Transparency 0.5 / 11

Contract Governance 1.9 / 10

Discoverability 4.5 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 6/100 · agent aware

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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
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 →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 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 →

11 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 Ask about this →
Operational Transparency scores 4.8 — up to +12.4 composite points Ask about this →
Developer Ergonomics scores 42.9 — up to +11.4 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/ironshard-ai/apis.yml: open an issue on github.com/api-evangelist/ironshard-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 1

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

IronShard API

Governed S3-compatible storage API for AI agents

MCP Servers 1

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

IronShard MCP Server

Remote MCP server at agents-mcp.ironshard.ai.

MCP SERVER

IronShard API pricing

Prices published by IronShard, read 2026-11-12 from www.ironshard.ai/pricing.

Plan	Price
Build	$0.018/ GB/ mo

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

IronShard Plans Pricing

1 plans

PLANS

Security Posture 3

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

IronShard Authentication

1 scheme

SECURITY

IronShard Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

IronShard Trust Center

SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, GDPR, CSA STAR

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

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

MCPServer

MCPServer

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

Compliance

Authentication

TrustCenter

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

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: ironshard-ai
name: IronShard
description: IronShard provides governed S3-compatible storage tailored for AI agents, enabling secure, copy‑on‑write bucket
  branches that agents can access via the Managed Compute Protocol (MCP). Their platform offers per‑agent access control,
  automatic snapshots, and a zero‑credit‑card free tier, positioning it as a storage solution for autonomous AI workloads.
  The service includes detailed audit logs, compliance controls, and integration guides for popular LLMs, aiming to simplify
  data management for agentic applications.
url: https://artifacts.apis.io/ironshard-ai/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)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  probe_state: gated
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Storage
- Artificial Intelligence
- Cloud
- S3
- MCP
tags_raw:
- Storage
- AI
- Cloud
- S3
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/ironshard-ai-plans-pricing.yml
- type: Compliance
  url: https://www.ironshard.ai/trust-center
- type: Authentication
  url: authentication/ironshard-ai-authentication.yml
- type: Conformance
  url: conformance/ironshard-ai-conformance.yml
- type: LLMsTxt
  url: llms/ironshard-ai-llms.txt
- type: MCPServer
  url: mcp/ironshard-ai-mcp.yml
- type: Hosts
  url: hosts/ironshard-ai-hosts.yml
- type: Vendors
  url: vendors/ironshard-ai-vendors.yml
- type: TermsOfService
  url: https://www.ironshard.ai/legal/terms
- type: PrivacyPolicy
  url: https://www.ironshard.ai/legal/privacy
- type: GitHubOrganization
  url: https://github.com/IronShardAI
- type: TrustCenter
  url: security/ironshard-ai-trust-center.yml
- type: DomainSecurity
  url: security/ironshard-ai-domain-security.yml
- type: Website
  url: https://ironshard.ai/
- type: DeveloperPortal
  url: https://www.ironshard.ai/docs
- type: Documentation
  url: https://www.ironshard.ai/docs
- type: Pricing
  url: https://www.ironshard.ai/pricing
- type: GettingStarted
  url: https://www.ironshard.ai/docs/s3-quickstart
apis:
- name: IronShard API
  description: Governed S3-compatible storage API for AI agents
  humanURL: https://www.ironshard.ai/docs
  baseURL: null
  aid: ironshard-ai:api
x-coverage:
  state: gated
  reason: partner-login
  method: derived
  generated: '2026-11-12'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company serves an API surface but requires credentials before any description of it can be read
  evidence:
  - url: https://agents-mcp.ironshard.ai/mcp
    status: null
  - url: https://mcp.ironshard.ai/mcp
    status: 401
  - url: https://ironshard.ai/
    status: 200
x-enrichment:
  date: '2026-11-12'
  status: enriched
  artifacts_added: 14
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

IronShard API — frequently asked questions

Does IronShard have an API?

Yes. APIs.io lists 1 API from IronShard, including IronShard API.

How do I authenticate with the IronShard API?

IronShard uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as IronShard Authentication.

How much does the IronShard API cost?

IronShard publishes its prices; its Build plan is $0.018/ GB/ mo as of 2026-11-12. APIs.io lists 1 pricing plan for IronShard, with each plan's price, limits and inclusions under Pricing on this page.

Does IronShard have an MCP server?

Yes. APIs.io lists 1 MCP server for IronShard: Remote MCP server at agents-mcp.ironshard.ai.

Is the IronShard API ready for AI agents?

IronShard has a Kin Score of 28.8 out of 100 (thin) and an Agent Readiness score of 6.0 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

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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.
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resolveTurn a domain, URL or GitHub org into the provider it belongs to.
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