Profiles describe professional identity
Profile endpoints should focus on information that helps applications understand a creator or specialist in a professional context. Public fields might include display name, biography, regions, languages, subjects, platform references, portfolio items, production capabilities, and collaboration preferences. Private account settings, internal notes, contact history, or sensitive personal information should remain outside the public profile resource. The endpoint should distinguish clearly between data supplied by the member and data derived from connected public services.
Organizations describe business participation
Organization resources can represent companies, agencies, associations, production teams, and other professional groups. They may include public industry categories, operating regions, partnership interests, verified domains, and official contacts. Membership relationships should identify roles without exposing unnecessary account details. Applications may need to determine whether a user can edit an organization, publish an opportunity, or view analytics, but those permissions should be represented through authorization rather than added casually to every public response.
Opportunities describe work that may happen
An opportunity resource should include enough structure to support useful discovery. Relevant fields may describe the purpose, target audience, required skills, regions, languages, platforms, schedule, compensation category, application process, and current status. Sensitive commercial terms may be restricted to approved participants. Status transitions should be documented so clients understand whether an opportunity is drafted, published, paused, closed, or completed. Applications should not need to infer state from missing dates or ambiguous text.
Collaborations describe work already underway
Collaboration resources may connect creators, businesses, specialists, deliverables, milestones, and approved usage. These endpoints require stronger permissions because they can contain private operational information. A participant may need access to schedules and assigned tasks without seeing financial records intended for another role. The API should avoid returning a single oversized collaboration object containing everything. Smaller related resources and role-aware expansions can provide useful detail while respecting boundaries.
Analytics describe measured activity
Analytics endpoints should define every metric carefully. A field called engagement can mean reactions, messages, clicks, watch-time activity, or a calculated score. Ambiguous metrics make comparisons unreliable. Time zones, aggregation windows, sampling, data freshness, and missing values should be documented. Clients may need summaries for dashboards and more detailed records for analysis. The API can support both, but it should make the difference between raw observations, platform-provided metrics, and StreamerB2B calculations explicit.
Endpoint design becomes easier when each resource answers a clear question. Who is this professional? What is this organization? What work is available? What collaboration is active? What activity was measured? When these questions remain stable, developers can combine resources without repeatedly relearning the API. Predictability allows clients to grow from a simple directory integration into more advanced workflow and analytics applications.