Neurifly vs Zapier
Zapier is automation billed per task, with the widest catalogue of connected applications on the market. Neurifly is an agent platform built for runs a model drives, with approvals, evidence and usage based billing.
Zapier counts tasks, starting with a free allowance on a single seat and moving to paid tiers billed annually, and its catalogue of connected applications is the largest in the category. For breadth of integration it remains the reference point. A Zapier alternative earns its place when the automation has to be defensible rather than merely connected: when a model decides what happens next, when an action cannot be undone, and when finance and compliance both need an answer. Neurifly is designed for that case. Models sit on the same account and the same invoice as the run, irreversible actions wait for human approval, every run is hash chained with an evidence pack, generated code executes in a sandbox with no network of its own, spending limits refuse before the budget is exceeded, and the platform is hosted in the European Union on every plan.
| What you are comparing | Neurifly Apptivity | Zapier Zapier |
|---|---|---|
| Paid for what runs, not per seat | Confirmed A balance you top up, spent on tokens, searches, runs and storage. No seats and no minimum. | In part Per task: 100 a month free on one seat, Professional from 19.99 dollars a month billed annually. source |
| Runs in the European Union without changing plan | Confirmed European Union by default, on every plan. There is no region to switch on. | Unconfirmed See Zapier's own pages for where data is processed. source |
| Models from more than one vendor on one account | Confirmed Models from several vendors, including open weight ones, picked per conversation and billed on one account. | In part Connect whichever provider you like and pay that provider separately. source |
| Every call recorded with its tokens, latency and cost | Confirmed An append only trail with the model, tokens, latency, cost and the key that made the call. Agent runs are hash chained. | In part Task history is kept in the account. source |
| A budget per key, refused before the spend | Confirmed A limit per key and per organization. The call is refused before it goes past the limit rather than invoiced after. | In part The plan caps how many tasks a month are included. source |
| Attach files to a conversation | Confirmed Documents and images go into the conversation and land in a knowledge base you control. | Unconfirmed See the vendor's own pages. source |
| Answers can search the web | Confirmed Search is a platform service: the organization picks the engine, results are redacted before the model sees them, and every query is priced and recorded. | Unconfirmed See the vendor's own pages. source |
| Single sign on for the whole company | Confirmed Sign in with the company account, with roles and a permission catalogue enforced by every service rather than by the interface. | Unconfirmed See the vendor's own pages. source |
| Several models answer the same question at once | Confirmed Fusion sends the question to a panel of models in parallel and a separate model synthesises the result. | Unconfirmed See the vendor's own pages. source |
| Every source opens on the passage it came from, with its page and relevance | Confirmed Sources are numbered from what retrieval actually returned, and each opens the passage with its page number and its relevance score. | Unconfirmed See the vendor's own pages. source |
| You choose what a conversation may read: a base, folders, or single documents | Confirmed Retrieval is pointed at a knowledge base, at folders in it, or at named documents, and access is granted per base and per group. | Unconfirmed See the vendor's own pages. source |
| Code the model writes runs in a sandbox with its network cut | Confirmed The runner installs a filter on itself that cuts the network, files it produces come back to you, and the run is recorded like any other action. | Unconfirmed See the vendor's own pages. source |
Confirmed
In part
Unconfirmed
Last updated 4 August 2026
Start with a question, not a project.
Create an account, ask something real, and look at what the trail recorded. That is the whole evaluation.