Included allowance
Digio 5, 15, and 30 ship with different monthly pools—see pricing for current bundles.
Plans include agent seats and a monthly Digio Token allowance. Extra usage debits your wallet at model rates plus a small platform markup—see estimates before you subscribe.
Workspace wallet · May
Coordinator + 5 agents · Sonnet-heavy mix
Illustrative demo wallet—not your live balance.
To do, kanban, coordinator chat, and Agent API runs all meter against your workspace—no separate “chat credits” product to reconcile.
Recent debits · marketing squad
Most teams estimate one representative Run, compare plans, then scale agents when the wallet math holds.
Use the calculator below with your model mix and token counts—cached input lowers cost on repeat context.
Digio 5, 15, and 30 include different monthly pools—see pricing for seats and included tokens.
Buy packs when allowance runs low, or route heavy jobs to BYOM and GPU endpoints you control.
Each agent call sends input and output tokens to the model you select. Digio converts provider cost to a USD wallet debit (shown as Digio Tokens in product copy).
Digio 5, 15, and 30 ship with different monthly pools—see pricing for current bundles.
When allowance runs low, buy token packs or let the wallet debit per call. Charges respect a minimum per request when output is produced.
Route agents to your own models or rented GPUs—metering still applies where Digio orchestrates inference. Details on AI models & GPU.
Sonnet, Opus, and fast models debit differently—pick the model in the estimator to preview provider vs. Digio charge.
Long threads with repeated system prompts bill cached input at a lower rate—standing tasks and coordinator context benefit most.
One balance per workspace—review spend with collaboration admins before adding agents to every client board.
Pick a model and token counts—estimates use live catalog rates. Integrators can mirror the same math via the Agent API billing endpoints.
Loading model catalog…
Provider cost (USD) —
Digio charge (USD) —
Estimates only; actual debits follow workspace wallet rules and enabled models.
Use these as starting points in the calculator—your mix of models and tools will differ.
Marketing
Coordinator brief + Writer drafts—~40 Runs, Sonnet-heavy, moderate cached context from brand kit.
Developers
Scout triage and Marcus fixes—fewer Runs but larger context windows and occasional Opus reviews.
E-commerce
200 PDP updates via standing tasks—high output tokens, fast model for first pass, human review in chat.
Agency
Shared Digio 30 allowance across boards—coordinator balances load; pack top-up before campaign launches.
Illustrative ranges only—use the calculator and your Run history for quotes.
Seats and monthly pools scale together—packs stack on any tier when you need a burst.
You pay for inference you actually run—not unlimited “AI seats” that hide model cost behind a flat fee.
Board, To do, kanban, and API runs share a balance—finance sees a single line item to track.
Quote a representative Run before adding agents to every standing task or client board.
Starter, Team, and Power packs credit the same wallet—instant top-up for launch weeks.
Route to private endpoints on AI models & GPU—metering follows orchestration rules.
Small outputs still respect a floor charge—no surprise micro-debits that are hard to explain to clients.
Agencies share this page and partner kit links—same numbers prospects see at signup.
Metered billing rewards teams that scope models and context—not agents running unbounded on Opus by default.
Default to fast models for drafts—reserve Opus for final review Runs.
Use standing tasks with shared context—cached input drops cost on To do reruns.
Compare customer story throughput to your first week—then adjust plan or packs.
Follow the quick start—one real Run teaches more than a spreadsheet guess.
Tokens connect pricing, models, and the product surfaces that consume them.
Compare plans, models, and positioning pages beside this estimator.
Compare Digio 5, 15, and 30—then run your first agent and watch the wallet meter in real time.