On an invoice from Markeonbiz.fr, the lines related to artificial intelligence have technical titles: token credits, API calls, inference fees. Each item corresponds to a precise unit of measurement for the work done by the AI model. Reading these lines without confusion requires understanding what each term encompasses and how it translates into euros.
Usage-based pricing on Markeonbiz.fr: the token as the basic unit
A token is the fragment of text that the AI model processes with each request. In French, a common word represents on average one to two tokens. When Markeonbiz.fr bills “AI token credits,” the platform counts the total volume of text generated or analyzed during the period.
This usage-based billing model is gradually replacing per-seat pricing (a fixed price per user). The direct consequence: the final amount depends on the actual volume of usage, not the number of connected users.
An article published on J’aime Mon Job details this mechanism precisely, and consulting the AI pricing of Markeonbiz.fr invoices on J’aime Mon Job allows you to visualize each item with concrete examples.
The distinction between unit cost and total cost is the first reading trap. The price per million tokens has dropped dramatically since 2023 (Montecarlo.ai documents a reduction by a factor of 280 for a model comparable to GPT-3.5, going from 20 dollars to 0.07 dollars per million tokens).
The decrease in unit price does not reduce the total bill, because the number of requests increases as companies integrate AI into more marketing workflows.
API calls and inference fees: two distinct lines on the invoice
The “API calls” line counts each request sent to the AI engine. Generating advertising text, scoring a prospect, segmenting a customer database: each action triggers a call. The more automations there are, the higher this counter climbs.
Inference fees refer to the computational cost incurred by the server to produce the response. On some invoices, this line is merged with the tokens. On others, it appears separately, especially when the complexity of the processing varies (a three-line summary costs less in inference than a semantic analysis of an entire corpus).
How to read the difference between the two
The API call is a frequency counter: how many times the model has been requested. Inference is an intensity counter: how many resources each request has consumed. Two marketing campaigns can generate the same number of API calls, but very different inference fees if one requests short texts and the other long analyses.
To verify the consistency of an invoice, simply cross-reference these two lines. A stable number of calls with rising inference fees indicates more complex requests, not a billing error.
Fixed subscription and variable items: identifying what really weighs
The fixed part of the Markeonbiz.fr invoice covers the access license to the platform, the number of authorized users, and the basic features. This amount does not change from month to month.
The variable part, on the other hand, includes three main items:
- The token credits consumed during the period, directly related to the volume of content generated or analyzed
- The API calls, billed by the number of requests sent to the AI engine (generation, scoring, segmentation)
- The automated processing fees, which cover recurring tasks scheduled by the user (automatic sends, follow-ups, enrichment of customer records)
The item that often goes unnoticed is automated processing. When an automation runs in the background, it generates API calls and consumes tokens without human intervention. Forgotten automations are the primary cause of AI invoices exceeding forecasts.
Markeonbiz.fr AI invoice: three checks before disputing an amount
Before sending a complaint, three checks can help determine whether there is a billing error or underestimated usage.
- Compare the number of API calls displayed on the invoice with the usage history visible in the platform’s dashboard. A significant discrepancy warrants a request for clarification
- Check the active automations: each programmed workflow (automatic follow-up, scheduled content generation, periodic scoring) consumes AI resources even without manual action
- Review the general terms and conditions, particularly the clauses on renewal and consumption tiers. Some subscriptions include a volume of tokens, beyond which the unit price changes
The trap of consumption tiers
Several SaaS platforms apply a tiered pricing structure. The first block of tokens costs a certain price, the next one less. If the Markeonbiz.fr invoice indicates an average price per token that seems high, it may be because consumption has not reached the next tier. Checking the exact threshold in the T&Cs avoids unnecessary disputes.
The AI billing of marketing tools relies on precise mechanisms but becomes readable once the terms are mastered. The most useful reflex remains to consult the usage dashboard each month before opening the invoice, so that the amounts are never a surprise.