Anypoint Platform Operations

Overview

Navigate the Anypoint Platform developer portal to discover available APIs, agent skills, and extension schemas. The portal is the single source of truth for all public Anypoint Platform API specifications and agent-executable workflows. The portal URL is provided in the agent context preamble injected at the top of this file.

The portal exposes three machine-readable discovery files designed for AI agent consumption. Start with llms.txt for a quick inventory, read AGENTS.md for the full operating manual, and query registry.json for programmatic access to every document.

Important: All portal files are plain-text source documents (YAML, JSON, Markdown). Always retrieve them with raw HTTP tools (curl, direct GET requests) — never pass portal URLs through summarizer or browser-rendering tools, which will truncate structured content.

llms.txt -- Quick Inventory

Fetch {portal-url}/llms.txt for a lightweight, one-page summary following the llmstxt.org convention. It lists:

• A link to AGENTS.md (the full agent entry point)
• A link to registry.json (the machine-readable catalog)
• Schema references for x-origin and JTBD extensions
• Every public API with a one-line description
• Every agent skill with a one-line description

Use llms.txt when you need a quick overview of what the portal offers before diving deeper.

AGENTS.md -- The Agent Operating Manual

Fetch {portal-url}/AGENTS.md for the complete reference designed specifically for AI agents. This is the most important file to read thoroughly. It covers:

• Site structure -- where every file type lives (specs, skills, schemas)
• Registry format -- field definitions for registry.json entries
• URN scheme and resolution -- how to convert identifiers to fetchable URLs:
  • urn:api:{slug} resolves to {portal-url}/apis/{slug}/api.yaml
  • urn:skill:{slug} resolves to {portal-url}/skills/{slug}/SKILL.md
  • urn:schema:x-origin resolves to {portal-url}/schemas/x-origin.schema.json
• API spec conventions -- operationId format, authentication, server variables
• x-origin extension -- how dynamic parameters reference other APIs
• Skill format (JTBD) -- step structure, input types, output chaining
• Common agent workflows -- step-by-step patterns for discovery, execution, and resolution

registry.json -- Programmatic Catalog

Fetch {portal-url}/registry.json for the complete document index as a flat JSON array. Each entry contains:

• $id -- URN identifier (e.g., urn:api:api-manager)
• kind -- document type: oas (API spec), agent-skill, json-schema, or schema-doc
• slug -- URL-safe short name
• name and description -- human-readable metadata
• href -- relative path to the raw source file
• docs -- relative path to the rendered HTML page
• apis -- (skills only) array of API slugs this skill references

Filter by kind to segment the catalog:

• Find all APIs: kind == "oas"
• Find all skills: kind == "agent-skill"
• Find skills for a specific API: kind == "agent-skill" AND apis contains the target slug
• Find extension schemas: kind == "json-schema" or kind == "schema-doc"

Understanding x-origin (Dynamic Parameters)

Many API parameters have valid values that come from another API's response. These parameters carry an x-origin annotation in the OpenAPI spec:

parameters:
  - name: environmentId
    in: path
    schema:
      type: string
    x-origin:
      - api: urn:api:access-management
        operation: listEnvironments
        values: "$.data[*].id"
        labels: "$.data[*].name"

To resolve an x-origin parameter:

1. Read the x-origin array on the parameter
2. For each source, resolve the API URN to fetch the referenced spec
3. Find and call the referenced operation (by operationId)
4. Apply the values JSONPath expression to extract valid identifiers
5. Optionally apply the labels JSONPath to get human-readable display names

The values field is always required. The labels field is optional -- when absent, display the value directly. Both can be single JSONPath strings or arrays of paths.

Full schema: {portal-url}/schemas/x-origin.schema.json Documentation: {portal-url}/schemas/x-origin-schema.md

Understanding JTBD Skills

Skills are multi-step API workflows written in markdown. Each skill's SKILL.md contains:

1. YAML frontmatter with name (kebab-case) and description (includes trigger terms for agent matching)
2. Numbered steps (## Step N: Title) each containing a YAML code block with:
   • api -- URN of the target API (e.g., urn:api:api-manager)
   • operationId -- the operation to call
   • inputs -- parameter mappings with four possible types
   • outputs -- values to capture for subsequent steps

The four input types are:

Outputs chain between steps -- a value captured as name: environmentApiId in Step 1 can be referenced as from.variable: environmentApiId in Step 2.

Some skills define Execution Paths -- alternative routes through the steps depending on what the agent already has (e.g., skip authentication if already logged in).

Full schema: {portal-url}/schemas/jtbd-schema.md Template: {portal-url}/schemas/jtbd-template.md

Fetching Strategy

Portal files (*.md, *.yaml, *.json) are plain-text source documents, NOT rendered web pages. When retrieving them:

1. Use raw HTTP tools (curl, direct GET, file-read tools) — NOT browser-rendering or summarizer tools (e.g., WebFetch). Summarizers truncate structured content like JSON arrays, YAML code blocks, and tables.
2. Parse responses verbatim — registry.json must be parsed as JSON, API specs as YAML, and skills as Markdown. Do not summarize or abbreviate.
3. Fetch files individually when you need their content:
   • Registry: GET {portal-url}/registry.json
   • API spec: GET {portal-url}/apis/{slug}/api.yaml
   • Skill definition: GET {portal-url}/skills/{slug}/SKILL.md
   • Agent guide: GET {portal-url}/AGENTS.md

Prerequisites

1. Network access -- ability to make HTTP requests to the portal URL (see agent context preamble for the base URL)
2. Anypoint Platform credentials (for executing skills) -- Bearer token or OAuth2 client credentials for API calls
3. HTTP fetch capability -- ability to fetch and parse YAML, JSON, and Markdown responses directly (raw HTTP, not via summarizer)

Tips and Best Practices

Discovery Strategy

• Start with registry.json for programmatic discovery -- it is structured, filterable, and machine-parseable
• Read AGENTS.md when you need to understand conventions, resolve ambiguity, or learn how the portal works
• Use llms.txt for a quick, lightweight overview before committing to a deeper exploration
• Always use raw HTTP tools (curl, direct GET) for portal files -- never use summarizer tools that pass content through an intermediate model

Working with x-origin

• Always check x-origin on parameters before hardcoding values -- dynamic enums change per organization and environment
• Chain x-origin calls: one API's x-origin often references Access Management, which itself provides foundational IDs for other APIs
• Cache organizationId and environmentId -- they are reused across nearly every API call and rarely change within a session
• Read the full x-origin array -- some parameters offer multiple sources (e.g., different API endpoints for different contexts)

Skill Execution

• Read the full skill before starting -- execution paths may let you skip steps if prerequisites are already met
• Chain variables between steps -- outputs from one step become inputs to the next via from.variable
• Check the troubleshooting section of each skill when errors occur -- skills document known failure modes and solutions
• Resolve user-provided inputs early -- gather all userProvided: true inputs before starting execution to avoid mid-workflow interruptions

Portal Navigation

• Raw files via href -- use this for machine consumption (OpenAPI YAML, SKILL.md, JSON Schema)
• Rendered pages via docs -- use this when you need HTML documentation (useful for extracting formatted content)
• URN resolution -- always resolve URNs through the portal URL, never hardcode file paths

Troubleshooting

Portal Files Not Accessible

Symptoms: HTTP errors when fetching llms.txt, AGENTS.md, or registry.json

Possible causes:

• Incorrect portal URL
• Network connectivity issues
• Portal is being redeployed

Solutions:

• Verify the base URL matches the one in the agent context preamble at the top of this file
• Check that the full URL path is correct (no trailing slash issues)
• Retry after a brief wait if the portal is temporarily unavailable

Registry Returns Empty or Unexpected Results

Symptoms: registry.json parses but filtering returns no results

Possible causes:

• Using wrong kind value for filtering
• API slug does not match any entry

Solutions:

• Valid kind values are exactly: oas, agent-skill, json-schema, schema-doc
• List all slugs first to find exact matches (slugs are kebab-case, e.g., api-manager not API Manager)
• Skills have an apis array field -- APIs do not have a skills field

URN Resolution Fails

Symptoms: Fetching a URL constructed from a URN returns 404

Possible causes:

• Incorrect URN-to-URL mapping
• API or skill has been renamed or removed

Solutions:

• Follow the exact resolution rules: urn:api:{slug} maps to /apis/{slug}/api.yaml, not /apis/{slug}.yaml
• Check registry.json for the href field which gives the canonical relative path
• For schemas, resolution is not slug-based: urn:schema:x-origin maps to /schemas/x-origin.schema.json

x-origin Operation Not Found

Symptoms: The operationId referenced in x-origin does not exist in the target API spec

Possible causes:

• API spec version has changed
• Incorrect operationId spelling (operationIds are camelCase)

Solutions:

• Fetch the latest API spec via its URN and search for the operationId
• Check the API spec's paths for all available operations

Related Jobs

• secure-api: Apply security and traffic management policies to an API instance
• apply-policy-to-api-instance: Apply a specific policy to an existing API instance
• setup-service-scanner: Configure scanners to discover services from cloud platforms
• run-service-scan-and-view-results: Execute a scanner and view discovered services