Lamina Labs · Agentic Access

Lamina Labs Agentic Access

x-agentic-access generated

Lamina Labs exposes 2 API operations that an AI agent could call, of which 1 are state-changing ‘acting’ operations. This is a recommended x-agentic-access execution contract — the scope, audience, consequence tier, short-lived token constraints, and escalation each action should carry before it is handed to an autonomous agent.

By consequence: 1 read and 1 write.

Contracts are classified heuristically from the provider’s OpenAPI and refresh on every APIs.io network build; audience is bound per deployment. The model follows Curity’s Access Intelligence (apidays Munich 2026). Browse every provider’s agent contracts at agentic-access.apis.io.

CompanyArtificial IntelligenceVideoVideo GenerationMachine-LearningEducationMediaMCPContent Generation
Operations: 2 Acting: 1 Human-in-the-loop: 0 Method: generated

By consequence

read 1 write 1

Source

Agentic Access

lamina-labs-agentic-access.yml Raw ↑
generated: '2026-07-19'
method: generated
source: mcp/lamina-labs-mcp.yml
model: x-agentic-access (Curity Access Intelligence vocabulary)
disclaimer: A governance starting point derived from the provider's published MCP tool
  annotations and OAuth scopes, not an authoritative provider claim. `audience` is left
  null to bind per deployment.
summary:
  operations: 2
  by_action_class: {connected: 1, acting: 1}
  by_consequence: {read: 1, write: 1}
  human_in_the_loop: 0
  audit_required: 1
operations:
- operation: simi_get_video
  surface: mcp
  scope: jobs:read
  x-agentic-access:
    action-class: connected
    consequence: read
    scope: jobs:read
    audience: null
    token: {max-ttl: 3600}
    audit: optional
    human-in-the-loop: not-required
  rationale: Provider annotates this tool readOnlyHint true, idempotentHint true,
    destructiveHint false. It returns signed media URLs, so the response is sensitive
    even though the call is read-only.
- operation: simi_submit_video
  surface: mcp
  scope: jobs:create
  x-agentic-access:
    action-class: acting
    consequence: write
    scope: jobs:create
    audience: null
    token: {max-ttl: 900}
    audit: required
    human-in-the-loop: not-required
  rationale: Creates a billable video generation job. Provider annotates idempotentHint
    false, so a retry produces a second job; a governing agent should de-duplicate and
    treat repeat submission as a cost event.
  cautions:
  - No idempotency key exists, so at-least-once agent retry semantics will double-charge
    and double-generate.
  - openWorldHint is true on both tools; outputs are model-generated video and should not
    be treated as authoritative content.
notes:
- The provider's authorization server supports dynamic client registration with the
  `none` token endpoint auth method, so an agent can self-register as a public client.
  Deployments should constrain which agents may complete that flow.

Work with this as data

Every access contract here is available over the APIs.io API and to AI agents over MCP. Agentic Access is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.

MCP server

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

https://apis.io/mcp

Tools for agentic access

3 MCP tools reach this
  • 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.
All 92 tools →

Call it yourself

curl for this page
Search the catalog
curl "https://apis.io/api/v1/search?q=lamina-labs-agentic-access&limit=10"
Everything under a tag
curl "https://apis.io/api/v1/tags/lamina-labs-agentic-access"

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