At a glance
Parallel vs askFinz
Row by row — what a call buys on each side.
| Compared on | Parallel | askFinz |
|---|---|---|
| What you buy | A search API for your own application | Workspaces, research agents, a browser extension and a desktop app, on one sign-in |
| What comes back | Ranked links, with shortened extracts | The matched passage and an answer, together |
| Rate per 1,000 searches | $1.00 turbo and fast · $5.00 basic and advanced | $0.75 top-up · $1.00 with the extension or a paid plan · $3.50 standalone |
| What the rate covers | The first 10 results, then $1.00 per 1,000 further results | As many results as the question needs |
| Page text | Extracts, not the full page | Included — the matched passage, with the address it was read from |
| Filed by document type | No — ranked web pages | Yes: a judgment comes back as a judgment, with its citation |
| Underlying index | Its own | Its own, read continuously |
Swipe the table sideways to see both columns.
Parallel rates as published on its own pricing page, verified 7 September 2026. askFinz rates as published on pricing. Check Parallel's current page before relying on these figures.
Where the two prices actually separate
At ten results a call the two are about the same, and that is worth saying plainly rather than burying: on the headline figure Parallel matches askFinz.
The separation is in what a rate covers. Parallel's turbo and fast tiers include the first ten results and then meter every result after that at $1.00 per 1,000. A question that has to weigh forty sources is four calls' worth of results, not one. On the same published rates, a call returning a hundred works out at roughly $91 per 1,000 — which is the figure worth carrying into a comparison, because it is the shape of question an agent actually asks.
askFinz does not meter results. A question draws on as many passages as it needs at the same rate, because the index is ours rather than rented, and the marginal cost of returning a fortieth passage is not a line item.
What comes back
Parallel returns ranked links with shortened extracts. That is a real product and for many jobs it is the right one — if your application already knows what to do with a ranked list, an endpoint that hands you one is exactly what you want.
askFinz returns the passage that answered the question, with the address to check it against. The difference is not depth of extract; it is whether you receive a list to work through or the part that addresses the question.
Where Parallel is the better buy
If you are building your own application and want an index-backed search endpoint, Parallel is a straight fit and matches askFinz on price at ten results a call. It holds its own index, which most of the market does not, and it publishes its arithmetic clearly enough that you can work out what a call will cost before you make it.
Pick askFinz when the index needs to be something a team opens rather than something an application calls — Search, the workspaces, and the browser extension all read the same index.
What askFinz does that an endpoint cannot
The index is not only an endpoint here. The same index answers in askFinz Search, is read by the workspaces, and reaches the browser through the extension — so a price you can compare is attached to a product your team can actually open. Records also keep their type: a filing stays a filing, with its identifiers and dates, rather than being flattened into a web page.