
One integration. Five platforms.
Normalized. Documented. Maintained. The foundation that makes everything built on top of it look brilliant.
48M creators. Full audience intelligence. Proprietary metrics.
The brain behind Discovery and Intel, in JSON.

Built over a decade. Integrated in hours.

Normalized. Documented. Maintained. The foundation that makes everything built on top of it look brilliant.

48M creators with audience intelligence no one else has. Inside your product from day one.

Platform changes, data decay, compliance — off your plate. Every sprint goes to product, not pipeline.
The same intelligence powering Discovery and Intel.
Now in your stack.

TikTok, Instagram, YouTube, Twitch, and X. Normalized and linked across platforms, with published contact details where a creator lists them.

Every video, stream, and post. Engagement stats, view counts, and watch time, at the latest available reading.

Age, gender, income, education, occupation, ethnicity, family status, brand safety. On every profile.

Demographics, interests, content topics, brand partnerships. AI-enriched and refreshed monthly.
Built for teams that move fast.

Integration
Scope, coverage, freshness, and how the data is derived — before you write the first request.
Programmatic access to the creator and content data behind Workflow and Intelligence: creator profiles, audience analysis, and published content with its engagement history.
Coverage differs by endpoint, so the endpoint reference in the API documentation is the authority — each endpoint lists the platforms it accepts rather than promising a single number across the whole surface.
Freshness depends on the source, platform, creator, and field. Streamforge does not treat every field as universally daily; the right interpretation depends on what was measured and when it was observed. Read the timestamp on the record rather than assuming a universal cadence.
Creator analysis combines directly supported evidence from creator profiles, published content, and other public web sources with model-inferred qualitative details. Streamforge has benchmarked its audience-analysis technique against first-party audience data from the platforms and found it to be highly accurate.
Streamforge uses IGDB as its source of truth for game and genre metadata, then applies proprietary techniques to connect that taxonomy to creators and content across social platforms.
Access is arranged directly — book a 15-minute call and we will scope the endpoints, volume, and plan against what you are building. The documentation is public if you want to read the endpoint reference first.