Two pricing versions
In October 2026, Swan started rolling out a new way to use credits. Every org is on one of two pricing versions:
Both versions run side by side while Swan gradually moves orgs from v1 to v2. Orgs created from October 12, 2026 start on v2 by default; the gradual move applies to orgs created before then. Your org uses one version at a time, and every charge follows that version. Swan knows which version your org is on — ask it, or open Settings → Subscription, which shows the plans for your version.
v2 was built to make credits easier to predict and control:
- Clearer. On v1, many small actions each had their own price, so it was hard to know what cost credits. On v2, data has a public price list, and everything else is the work Swan does.
- No penalty for getting work done. On v1, every CRM update, Slack message, or sequence build cost a credit, which discouraged automations that act in your other systems. On v2, those actions have no price of their own.
- Closer to the real work. Credits follow how much work a task really takes, so Swan’s incentives and yours line up: simpler, focused work costs less.
- More control. You decide how complex and how long-running your tasks and automations are, and where it’s available, which model does the work.
What you pay per credit
The price of one credit depends on your plan. Standard plans have a fixed price per credit. Custom and enterprise plans are priced individually. Your plan and its credits are on Settings → Subscription. Custom and annual plans can differ — contact the Swan team for those.What costs credits on v1
Most of Swan’s paid actions cost 1 credit each: web research, scraping a URL, building a sequence, generating a presentation, writing to your CRM, running code, and calling a custom tool (including tools from an MCP server you’ve connected). A few actions cost more because they call more expensive third-party data providers:- Enriching a full contact or company profile costs 1 credit, charged only when enrichment data is returned.
- Enriching an email address or phone number costs 2 credits each, charged only on a successful match.
- Fetching business/intent events costs 1 credit per event returned.
- Fetching latest website changes costs 1 credit per new provider date for each company. Repeated same-date results, unmatched companies, and no-data companies are free.
- Finding similar companies costs 1 credit per 5 results returned, rounded up; no matches cost nothing.
What costs credits on v2
On v2, credits come in two kinds. Both come from the same balance. Data credits. Data lookups — enriching a contact or company, finding an email or phone number, web research, scraping a page, fetching business events, finding similar companies — each have a fixed price per result. The full list is public in credit costs, and Swan sees each charge as it happens. A lookup with no result costs nothing. Swan prices its data competitively against what the same data costs elsewhere on the market. Triggers that bring in data have a data-credit fee too: business events, Bombora intent, website visitors, and Website Changes. Other trigger types have no fee on v2. Intelligence credits. Everything Swan does to think and work — reading your data, reasoning, researching, writing, and deciding which actions to take — uses intelligence credits. The amount depends on:- How complex the task is. A quick question uses fewer than a multi-step plan.
- How much context Swan works with. Long conversations, large files, and big lists use more.
- How long the work runs. More steps use more. Each sub-agent is its own run and uses its own intelligence credits.
- Which AI model does the work. A lighter model uses fewer intelligence credits for simple work. Some orgs can already choose the model in the app for some conversations and automations. This isn’t available to everyone yet, and it will reach more places over time.
Spending fewer intelligence credits
- Keep tasks focused. Start a new conversation for a new topic instead of continuing a very long one.
- Filter a list before you ask Swan to work through it record by record.
- For the same simple action on many records, let Swan batch it in one code run instead of one sub-agent per record.
- If your org can choose the model in the app, use a lighter model for simple, repetitive work.
- Keep automations short and specific. An automation that fires often multiplies whatever each run uses.