Finance AI Index
Index Vendors › Monk · September 2026 Edition
3 categories · Ranked

Monk

24Judge labels
3First choices
1Negative labels
9 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
4% in Accounts receivable auto for mid-market buyers
Rank 10 of 77 in the mid-market standing
1 of 12 models made it the first choice on the direct prompt; 0% of its 2 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In accounts receivable auto · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Monk for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Accounts receivable automationReceivables and billing4%10 of 770%2under 10 labels · led by Zoho Books at 15%
Cash applicationReceivables and billing0%24 of 830%7under 10 labels · led by HighRadius at 16%
B2B payment acceptanceReceivables and billing0%23 of 910%3under 10 labels · led by Helcim at 17%

Movement

This is the first edition on this tier, so no move can be computed for Monk yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Monk across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510102
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small10001
DeepSeek V4 Flash03003
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.502002

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct4 labels1
Paraphrase11 labels1
Comparative5 labelsNone
Budget-constrained3 labels1
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative24 labels in all, every segment counted; 3 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Monk emerges as the strongest overall choice for most mid-market and enterprise businesses” Claude Haiku 4.5 · Accounts receivable auto · direct prompt · first choice
“Monk and Finvi are standout choices for their ease of use and workflow automation” Mistral Small · Accounts receivable auto · paraphrase prompt · first choice
“tend to receive fewer complaints about implementation friction and pricing transparency in recent reviews” Qwen 3.7 Flash · Cash application · negative prompt · alternative
“If you want flat, predictable pricing and despise percentage-based models: Monk.” DeepSeek V4 Flash · Cash application · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Monk, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Monk was named but was not.
ProductSame answerTook the first choice insteadHead to head
Billtrust15 of 242Not in the top three
HighRadius14 of 246Not in the top three
Versapay13 of 242Not in the top three
BILL8 of 242Not in the top three
Esker6 of 242Not in the top three
Upflow6 of 240Not in the top three
Chaser5 of 240Not in the top three
Gaviti5 of 240Not in the top three
Quadient Accounts Receivable4 of 241Not in the top three
BlackLine Cash Application4 of 240Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Monk. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 22 of the 24 answers that named Monk and are not a share of its labels.

Domains cited

monk.comYour site20
highradius.com13
chaserhq.com10
upflow.io10
lunos.ai9
transformance.ai9
bluecopa.com8
cashflowpick.com8
learn.g2.com8
gaviti.com7

Eighty-two of the 102 domain citations in answers naming Monk came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Monk's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Monk, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at monk.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.