Index › Products › iFacts · October 2026 Edition

1 category · Named, not ranked

iFacts

1Judge labels

0First choices

1Negative labels

1 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, 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. iFacts was named 1 time in DDI and IPAM, where BlueCat Micetro led with 15%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market112 of 115

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ddi and ipam · 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 iFacts 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
DDI and IP address management	Network and edge	0%	112 of 115	100%	1	under 10 labels · led by BlueCat Micetro at 15%

Movement

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

By model

How each model treated iFacts across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	1	1
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0

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.

“Multiple studies rank it as one of the less accurate options. In one comparative study, it scored the lowest (191 out of 400 points)” MiniMax M2.5 · DDI and IPAM · negative prompt · hard negative

Named alongside

The products named in the same answers as iFacts, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and iFacts was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Lexidrug1 of 11Not among the top eight

DrugBank1 of 10Not among the top eight

Drugs.com1 of 10Not among the top eight

Medscape1 of 10Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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 iFacts. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 1 of the 1 answers that named iFacts and are not a share of its labels.

Domains cited

citeseerx.ist.psu.edu1

gitnux.org1

jptcp.com1

pmc.ncbi.nlm.nih.gov1

pubmed.ncbi.nlm.nih.gov1

scielo.br1

thecarlatreport.com1

No domain is on file for iFacts, so its own site is not marked.

Pages cited

citeseerx.ist.psu.edu/document1

gitnux.org/best/drug-drug-interaction-software1

jptcp.com/index.php/jptcp/article/download/11501/10737/229021

pmc.ncbi.nlm.nih.gov/articles/PMC125040841

pmc.ncbi.nlm.nih.gov/articles/PMC50844831

pmc.ncbi.nlm.nih.gov/articles/PMC81032711

pubmed.ncbi.nlm.nih.gov/150117661

scielo.br/j/rbti/a/CfB9kjgGGRjBfmVsDKPwHcn1

Pages are listed as the models cited them.

Follow iFacts

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 iFacts'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 iFacts, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for iFacts by email, built from the raw record of the edition. It shows:

where iFacts is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name iFacts, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.