MAC Address Lookup: Find Vendor, OUI & Device Type Agentic Access

x-agentic-access generated

MAC Address Lookup: Find Vendor, OUI & Device Type exposes 4 API operations that an AI agent could call, of which 0 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: 4 read.

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.

NetworkingNetwork Access ControlSecuritySecOpsIoTDevice Fleet ManagementMDMReference DataIEEE OUI LookupDeveloper ToolsMCPagent-native
Operations: 4 Acting: 0 Human-in-the-loop: 0 Method: generated

By consequence

read 4 write 0 physical 0 safety-critical 0

Source

Agentic Access

Raw ↑
generated: '2026-08-28'
method: generated
source: openapi/macadress-openapi.yaml
description: >
  Recommended x-agentic-access execution contracts for exposing the macadress.com API to AI
  agents. Classified from the published OpenAPI plus the provider's own quota and billing
  rules. A governance starting point — review and bind audience per deployment.
posture: >
  This is one of the low-risk shapes: every operation is a read, nothing mutates
  provider-side state, and the only irreversible consequence of any call is quota spend.
  That makes the interesting control here ECONOMIC rather than safety-critical. A batch
  lookup bills per address resolved, so a single agent call can consume 100 lookups, and a
  free-plan agent can exhaust its whole 1,000-lookup cycle in ten calls with no way to
  reverse it. Budget caps and retry discipline are the governance surface, not human
  approval.
provider_consent_signals:
  robots_txt: https://macadress.com/robots.txt
  content_signal: 'search=yes, ai-input=yes, ai-train=no'
  named_agents_allowed: [GPTBot, ChatGPT-User, ClaudeBot, anthropic-ai, Google-Extended, PerplexityBot, CCBot]
  disallowed_paths: [/admin]
  llms_txt: https://macadress.com/llms.txt
  reading: >
    The provider explicitly permits inference-time agent retrieval and explicitly refuses
    training use, and it publishes an llms.txt naming its own surfaces. Its llms.txt also
    states that every /lookup/:mac and /vendor/:id page is safe for an agent to fetch and
    cite, and asks agents to prefer linking a human to the HTML page over the raw API.
    Honour the ai-train=no signal: results retrieved here are for answering, not for
    corpus building.
summary:
  operations: 4
  by_action_class:
    connected: 4
    acting: 0
  by_consequence:
    read: 4
    write: 0
    physical: 0
    safety-critical: 0
  human_in_the_loop_required: 0
  metered_operations: 3
  unmetered_operations: 1
operations:
- path: /v1/mac/{mac}
  method: get
  operationId: lookupMAC
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
      note: 'Static API key (mk_ prefix), no expiry issued by the provider; rotate on your own schedule.'
    cost:
      billed: true
      unit: 1 lookup per call
    audit: none
- path: /v1/mac/batch
  method: post
  operationId: lookupMACBatch
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    cost:
      billed: true
      unit: 1 lookup per address resolved, up to 100 per call
      note: >
        The highest-cost call on the surface. POST does not mean write here — the method is
        chosen only because a 100-address list does not fit in a URL — but an agent retry
        loop on this endpoint is the one way to spend real money against this API.
    escalation:
      human-in-the-loop: 'no'
      budget-cap: recommended
      triggers:
      - repeated-retry-after-429
      - batch-volume-above-plan-cycle-fraction
    audit: recommended
- path: /v1/vendors
  method: get
  operationId: searchVendors
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    cost:
      billed: true
      unit: 1 lookup per call
      note: >
        Bills as a full lookup even though it returns at most 50 rows and has no cursor.
        An agent trying to walk the directory by repeated filtered searches will spend
        heavily and still cannot reach beyond 50 rows per filter; direct it to the static
        bulk downloads at https://macadress.com/downloads instead.
    audit: none
- path: /v1/healthz
  method: get
  operationId: healthz
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: none
    authentication: none
    token:
      max-ttl: null
    cost:
      billed: false
      unit: unmetered
      note: The only free call on the surface. Safe for an agent to poll before a large job.
    audit: none
non_contract_surface:
- path: /v1/mac/extract
  method: post
  present_in_openapi: false
  documented_at: https://macadress.com/docs
  note: >
    Fully documented but absent from the machine-readable contract, so an agent driven by
    the OpenAPI or by the MCP tool list cannot discover it. Same read-only, per-address
    billing profile as the batch endpoint. Recorded here so a governance review sees the
    whole surface, not just the declared one.

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.

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