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AffiliateOS vs Strackr
Multi-network affiliate aggregator and dashboard
Strackr is the closest thing to a direct comparison AffiliateOS has: both connect the affiliate network accounts you already own and normalize what comes back. The difference is who the output is for.
The short answer
Both aggregate your own network accounts, and neither takes a cut of your commissions. Strackr is a dashboard: it connects a large number of networks and puts unified reporting in front of a human, with an API available for developers. AffiliateOS is infrastructure: five networks normalized into one schema, exposed first as an MCP server so an AI assistant can search programs, mint tagged links and read earnings back without a human at a screen. Pick Strackr for breadth of network coverage and human reporting. Pick AffiliateOS if an agent is doing the work and attribution needs to close the loop automatically.
Side by side
| AffiliateOS | Strackr | |
|---|---|---|
| Primary interface | MCP server for AI assistants, with REST parity and a thin dashboard | Web dashboard for a human operator, with an API for developers |
| Network coverage | Awin, Impact, CJ, Rakuten and Amazon — deliberately narrow, deeply normalized | A much wider list of networks and platforms |
| Commission flow | BYOC — networks pay you directly, no revenue share | BYOC — networks pay you directly, no revenue share |
| Attribution model | Attribution tags are the core abstraction: one tag per campaign, translated to each network’s sub-ID convention and resolved back on every conversion | Sub-ID data is reported where the network provides it |
| Agent integration | Native: OAuth connect from an assistant’s settings, tools shaped for agent reasoning, responses budgeted to fit a context window | None specific to agents — you would build an MCP wrapper over the API yourself |
| Event feed | Signed webhooks plus a pull-based event feed on commission created, approved, reversed and paid | Reporting and API polling |
Choose Strackr if
- —You earn on networks outside AffiliateOS’s five and coverage breadth is the deciding factor.
- —A human is the one reading the numbers, and a mature reporting UI is what you want.
- —You have no agent or automation in the loop and do not plan to add one.
Choose AffiliateOS if
- —An AI assistant — Claude, ChatGPT, or your own agent — is doing the discovery and link minting.
- —You want one attribution convention that works identically across every connected network, with earnings grouped by tag as the primary view.
- —You want to connect from your assistant’s settings screen with an OAuth popup rather than provisioning and pasting API keys into agent config.
- —You need push events on commission state changes rather than polling a reporting API.
Questions people actually ask
Does AffiliateOS support as many networks as Strackr?
No, and that is a deliberate trade. AffiliateOS supports Awin, Impact, CJ, Rakuten and Amazon, normalized deeply enough that one attribution tag round-trips through all of them. Aggregators that cover far more networks generally surface each one’s data as-is. If your earnings are concentrated in a network AffiliateOS does not support, an aggregator with wider coverage is the better fit today.
Do either of them take a percentage of my commissions?
Neither does. Both are BYOC tools: you connect accounts you own, the networks pay you directly, and the tool charges for software rather than a share of earnings. That is the main thing separating this category from auto-monetizers like Skimlinks and Sovrn.
Could I just wrap Strackr’s API in my own MCP server?
You could, and for some stacks that is the right call. What you would be rebuilding is the part that is not a thin API wrapper: cross-network sub-ID translation, tag resolution on inbound conversions, currency-converted earnings grouped by tag, plan-aware error hints, and responses trimmed to fit an agent’s context window.
Claims about Strackr were last checked on August 5, 2026 and describe how the products are structured, not their current pricing. Other products change — verify anything decision-critical against their own documentation.