Prompt

I'm building a catalog of internal APIs and docs, what data sources should I integrate?

Technology / Developer Tools1 observationLast seen Oct 26, 2026

Latest observation

Oct 26, 2026OpenAI APIWeb search: off

For an internal API/docs catalog, I’d integrate sources that cover both authoritative definitions and usage/ownership context.

Core data sources

  1. API specifications

    • OpenAPI / Swagger
    • AsyncAPI
    • gRPC / protobuf definitions
    • GraphQL schemas
    • WSDL / SOAP, if you still have legacy services
  2. Source code repositories

    • Service code
    • Interface contracts
    • README files
    • Doc comments / inline annotations
    • ADRs or design docs linked in repos
  3. Documentation platforms

    • Confluence
    • Notion
    • GitBook
    • MkDocs / Docusaurus / internal wikis
    • SharePoint or other intranet docs
  4. API gateways and management platforms

    • Kong, Apigee, AWS API Gateway, Azure API Management, etc.
    • Useful for routes, auth, rate limits, environments, and traffic metadata
  5. Service catalog / CMDB / architecture tools

    • Backstage
    • ServiceNow CMDB
    • LeanIX, Lucid, Archi, etc.
    • Helps with ownership, dependencies, business criticality, lifecycle
  6. CI/CD and deployment systems

    • GitHub Actions, GitLab CI, Jenkins, Argo CD, etc.
    • Helps identify what’s deployed, where, and how often
  7. Observability and runtime systems

    • Logs, metrics, traces
    • Datadog, New Relic, Prometheus, Grafana, Splunk, OpenTelemetry
    • Useful for endpoint usage, error rates, latency, actual service interactions
  8. Identity and access management

    • Okta, Azure AD, Auth0, IAM policies
    • Good for who can access what, auth schemes, and permission boundaries
  9. Ticketing/project systems

    • Jira, Linear, ServiceNow
    • Useful for ownership, roadmap, deprecation, incidents, and support history
  10. Communication channels

  • Slack, Teams, email archives, incident channels
  • Great for “tribal knowledge,” but usually best as a secondary/non-authoritative source

Metadata worth capturing

At minimum, try to normalize:

  • API name, version, and type
  • Owner/team and support contact
  • Source-of-truth link
  • Environment(s)
  • Auth method/scopes
  • Endpoints/events/messages
  • Dependencies and consumers
  • Status: active / deprecated / experimental / retired
  • SLA/SLO or criticality
  • Tags: domain, system, PII/regulated data, internal/external

Recommended source priority

If you want a practical order:

  1. OpenAPI/AsyncAPI/protobuf/GraphQL schemas
  2. Repo code + README/design docs
  3. API gateway / service catalog
  4. Docs wiki
  5. Observability
  6. CI/CD and ticketing systems

A good rule of thumb

Use:

  • Specs as the source of truth for interface shape
  • Repos for implementation context
  • Catalog/CMDB for ownership and lifecycle
  • Observability for real usage
  • Docs/wiki for human explanations

If you want, I can also propose:

  • a minimum viable schema for the catalog,
  • a source priority matrix,
  • or a platform-specific integration list for tools you already use.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.