IT AI Index
Index Vendors › Flowise / OpenAI Agent Builder · September 2026 Edition
1 category · Named, not ranked

Flowise / OpenAI Agent Builder

1Judge labels
0First choices
1Negative labels
1 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Flowise / OpenAI Agent Builder was named 1 time in Orchestration, where Prefect led with 24%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In orchestration · 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 Flowise / OpenAI Agent Builder 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
Workflow orchestrationData platform0%76 of 86100%1under 10 labels · led by Prefect at 24%

Movement

This is the first edition on this tier, so no move can be computed for Flowise / OpenAI Agent Builder 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 Flowise / OpenAI Agent Builder across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative1 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“Agent-builder platforms being wound down (Agent Builder shuts down Nov 30, 2026)” DeepSeek V4 Flash · Orchestration · negative prompt · hard negative

Named alongside

The products named in the same answers as Flowise / OpenAI Agent Builder, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Flowise / OpenAI Agent Builder was named but was not.
ProductSame answerTook the first choice insteadHead to head
AWS Step Functions1 of 10Not in the top three
Apache Airflow1 of 10Not in the top three
Apache Oozie1 of 10Not in the top three
Databricks Lakeflow Jobs1 of 10Not in the top three
JFrog Pipelines1 of 10Not in the top three
Microsoft Power Automate1 of 10Not in the top three
Orchest1 of 10Not in the top three
Relay.app1 of 10Not in the top three
SharePoint 2013 Workflow1 of 10Not in the top three
Snowflake Tasks1 of 10Not 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 Flowise / OpenAI Agent Builder. 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 1 of the 1 answers that named Flowise / OpenAI Agent Builder and are not a share of its labels.

Domains cited

attic.apache.org1
dash0.com1
datacamp.com1
datadoghq.com1
docs.jfrog.com1
en.wikipedia.org1
getorchestra.io1
kanerika.com1
kestra.io1
kleene.ai1

Ten of the ten domain citations in answers naming Flowise / OpenAI Agent Builder 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 Flowise / OpenAI Agent Builder'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 Flowise / OpenAI Agent Builder, 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 flowise.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.

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