Data foundations
How Streamforge builds and maintains creator data
Follow the data from platform records to comparable creator profiles, identity links, analysis and game context.
How our data works
Streamforge began with the data. We started collecting our own because the numbers influencer marketing platforms reported didn’t match what the social platforms themselves said. This is how that data is built, how it has been tested, and how to test it against the creators you already know.
{
"payload": {
"platform_id": "twitch",
"id": "411377640",
"name": "jynxzi",
"display_name": "Jynxzi",
"language": "en",
"statistics": {
"followers": 11641174
},
"updated_at": "2026-10-15T03:50:30.000Z",
"last_active_at": "2026-10-15T03:40:00.000Z"
},
"meta": {
"received_at": "2026-10-16T09:30:00.000Z"
}
}Our story
Streamforge started in 2018 as a Discord community of gaming creators. Running it meant living inside Twitch’s API every day, so we could see what the platform’s own data said about a channel. When we compared that with what influencer marketing platforms were reporting, the gap wasn’t subtle. The industry was running on stale, flawed numbers.
We decided the only data we could trust was data we collected ourselves, and started building our own database. Then we put it to work. For years we ran creator campaigns for gaming publishers on it, Twitch first, then YouTube, Instagram and TikTok, and every claim the data made got tested against a real campaign. In March 2023 we opened the platform to customers.
That history is why data comes first here. Search results, audience reports and campaign numbers are only as good as the records underneath them, and we learned that with our own campaigns on the line.
If your current platform keeps missing creators you know exist, or tells you too little about their audiences to choose between them, bring those cases to an evaluation. They are the ones we would rather be tested on.
Data foundations
Collecting a profile is the easy part. What makes the data useful is what happens next: connecting creator identity, content, performance and audience context so you can search, compare and explain a shortlist.
Platform-specific records are organized into a shared model. Profiles are linked across platforms where identity evidence supports a match, while metrics retain the meaning of their source platform.
Creator analysis combines directly supported evidence from creator profiles, published content, and other public web sources with model-inferred qualitative details.
Audience analysis combines demographic and psychographic estimates with interests, authenticity and community health, so you can compare a creator’s audience with the people your campaign needs to reach.
Streamforge analyzes the comments on a creator’s posts, videos and streams using AI to detect bot behavior, writing styles, and repetitive phrases or comments that do not engage with the content.
Streamforge uses IGDB as its source of truth for game and genre metadata, then connects that taxonomy to creators and content on social platforms.
Platform record
Twitch · stream
IGDB game
Valorant
IGDB 126459
Creator profile
tarik
3.3M followers
Targeted gamesLast 90 days
GameStreams
Validation
Compare creators
Side by side on the same metrics as Lists, over the metric window you pick. The best value in each row is crowned.
Streamforge’s audience analysis is AI-based and does not require the creator to authenticate through OAuth. The model was trained on first-party audience data, and in Streamforge’s tests its results are extremely close to the platforms’ direct metrics.
Audience analysis is supported across YouTube, Twitch, TikTok, Instagram, and X. Because no creator has to connect an account, you can research an audience before the creator has heard from you.
Read the audience analysis methodFortune 500 companies have tested Streamforge’s creator data side by side against other vendors. Streamforge came out ahead in every completed evaluation.
You can run the same test. Bring creators you know well and the audience you need to reach, then compare what comes back with what you already know to be true.
Book a demoMethods
Follow the method behind the fields you use: how they are produced, how to interpret them and how they support creator decisions. Each explanation includes the coverage and context relevant to that data type.
Data foundations
Follow the data from platform records to comparable creator profiles, identity links, analysis and game context.
Audience analysis
Understand audience demographics, interests, authenticity and community health, with the evidence and validation behind the estimates.
Content value
Compare estimated content value using the model for each format, with audience geography and industry context.
Data freshness
See how refreshes work across platforms, creators and fields, and how to read update times when evaluating a shortlist.
Sponsorship detection
Understand how disclosure signals, brand context and promotional evidence help classify creator-brand relationships.
Evaluating creator data
Five questions to ask about any vendor’s creator data, ours included, and a test to run on creators you already know.
Questions
Yes. Streamforge has benchmarked its audience-analysis technique against first-party audience data from the platforms and found it to be highly accurate. Buyers have tested it side by side too. See “By buyers, side by side” above.
Brands choosing creators for the customers they want to reach, agencies running campaigns for clients, and gaming teams planning creator partnerships. Streamforge is an influencer marketing platform for creator discovery, audience analysis, competitive intelligence, campaign workflow, and API data access.
Streamforge’s audience analysis is AI-based and does not require the creator to authenticate through OAuth. Audience analysis is supported across YouTube, Twitch, TikTok, Instagram, and X. This lets teams research audiences before a creator joins their program.
Start with creators you already know and the audience criteria that matter to your campaign. Check whether you can find those creators, compare their content and audiences, and explain why each belongs on the shortlist. Review the fields and update times you would actually use for the decision.
The Streamforge API provides programmatic access to creator, content and analysis data. Start with the public documentation, then bring your required platforms, fields and expected volume so we can work through the integration with you.
Influencer marketing guides
The guides take the research into campaign planning, creator vetting, outreach, rates, creative briefs and measurement. Build on the data with a process your team can use.
Bring your current shortlist, the creators you’ve struggled to find, and the audience you need to reach. We’ll work through the data with you.
We work through your requirements and where Streamforge fits, then agree on the next step.