AML and transaction monitoring
Asked as “AML and transaction monitoring platform”, and as “anti-money laundering compliance software”, on behalf of a mid-market B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
39%
Contested · Unit21 14%
39ComplyAdvantage14Unit2109Flagright38others
39% of first choices, contested.
Since October 2026▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.ComplyAdvantage held the lead, +6 points on 33%, inside the 10-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
ComplyAdvantage29%Contested▲+9Since October 2026: 20% → 29%, +9 points. Inside the 10-point floor: within noise.Standing →Mid-marketComplyAdvantage39%Contested▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.This pageEnterprise
NICE Actimize38%Contested▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.Standing →
ComplyAdvantage29%Contested▲+9Since October 2026: 20% → 29%, +9 points. Inside the 10-point floor: within noise.Standing →Mid-marketComplyAdvantage39%Contested▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.This pageEnterpriseNICE Actimize38%Contested▲+2Since October 2026: 36% → 38%, +2 points. Inside the 10-point floor: within noise.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01ComplyAdvantage39%0%57endorsed leader▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.33% → 39%
ComplyAdvantage39%0%57endorsed leader▲+6Since October 2026: 33% → 39%, +6 points. Inside the 10-point floor: within noise.33% → 39%02
Unit2114%5%40accepted challenger▲+8Since October 2026: 6% → 14%, +8 points. Inside the 10-point floor: within noise.6% → 14%
Unit2114%5%40accepted challenger▲+8Since October 2026: 6% → 14%, +8 points. Inside the 10-point floor: within noise.6% → 14%03
Flagright9%0%27accepted challenger▼−4Since October 2026: 13% → 9%, −4 points. Inside the 10-point floor: within noise.13% → 9%
Flagright9%0%27accepted challenger▼−4Since October 2026: 13% → 9%, −4 points. Inside the 10-point floor: within noise.13% → 9%04
AML Watcher7%0%11accepted challenger▲+5Since October 2026: 2% → 7%, +5 points. Inside the 10-point floor: within noise.2% → 7%
AML Watcher7%0%11accepted challenger▲+5Since October 2026: 2% → 7%, +5 points. Inside the 10-point floor: within noise.2% → 7%05
Sanction Scanner5%0%15accepted challenger▼−8Since October 2026: 13% → 5%, −8 points. Inside the 10-point floor: within noise.13% → 5%
Sanction Scanner5%0%15accepted challenger▼−8Since October 2026: 13% → 5%, −8 points. Inside the 10-point floor: within noise.13% → 5%06
Sumsub2%8%25accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Sumsub2%8%25accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%08
Fraudio2%0%10accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Fraudio2%0%10accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%Show the seven products at 0%, ordered by negative rate
14SAS AML0%58%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
15NICE Actimize0%55%42criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
NICE Actimize0%55%42criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%13
Oracle Financial Crime and Compliance Management0%48%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Oracle Financial Crime and Compliance Management0%48%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%12
SAS0%43%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SAS0%43%14criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%10
Hawk AI0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Hawk AI0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
Feedzai0%4%25accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
Feedzai0%4%25accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%11
Napier AI0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Napier AI0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
ComplyAdvantage vs Sanction ScannerComplyAdvantage vs SumsubComplyAdvantage vs AMLYZEComplyAdvantage vs FraudioUnit21 vs FlagrightUnit21 vs AML WatcherUnit21 vs Sanction ScannerUnit21 vs SumsubUnit21 vs AMLYZEUnit21 vs FraudioFlagright vs AML WatcherFlagright vs Sanction ScannerFlagright vs SumsubFlagright vs AMLYZEFlagright vs FraudioAML Watcher vs Sanction ScannerAML Watcher vs SumsubAML Watcher vs AMLYZEAML Watcher vs FraudioSanction Scanner vs SumsubSanction Scanner vs AMLYZESanction Scanner vs FraudioSumsub vs AMLYZESumsub vs FraudioAMLYZE vs Fraudio
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506A07
080910111213S14
15Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01ComplyAdvantage39%
ComplyAdvantage39%02Unit2114%
Unit2114%03Flagright9%
Flagright9%04AML Watcher7%
AML Watcher7%05Sanction Scanner5%
Sanction Scanner5%06Sumsub2%
Sumsub2%07AMLYZE2%
08Fraudio2%
Fraudio2%09Feedzai0%
Feedzai0%10Hawk AI0%
Hawk AI0%11Napier AI0%
Napier AI0%12SAS0%
SAS0%13Oracle Financial Crime and Compliance Management0%
Oracle Financial Crime and Compliance Management0%14SAS AML0%
15NICE Actimize0%
NICE Actimize0%What they warned about
Three of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
NICE Actimize55%
23 of 42 labels negative · 10 of 14 models · 6 hard negative
“Avoid or be cautious about: Legacy systems with documented high false-positive rates and limited scalability (e.g., NICE Actimize, SAS AML, Oracle Mantas, FICO TONBELLER).” GLM 4.7 FlashX, negative prompt
SAS AML
58%
7 of 12 labels negative · 6 of 14 models · 5 hard negative
“Legacy vendors like SAS AML, Oracle Mantas, and FICO TONBELLER (Siron): Highlighted in 2025 analyses as outdated for payment processors.” Grok 4.20, negative prompt
SAS43%
6 of 14 labels negative · 6 of 14 models · 4 hard negative
“Avoid enterprise platforms like NICE Actimize, Oracle, or SAS if budget is a concern” DeepSeek V4 Flash, budget prompt
Oracle Financial Crime and Compliance Management48%
12 of 25 labels negative · 6 of 14 models · 3 hard negative
“Avoid enterprise platforms like NICE Actimize, Oracle, or SAS if budget is a concern” DeepSeek V4 Flash, budget prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 899 links across 238 sites, every framing counted. Ranked by the number of answers carrying the site or page. 12 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
27 answers · 53 citations · 9 models
vendor site · Know Your Customer27 answers · 27 citations · 11 models
vendor site · Fraudio25 answers · 46 citations · 11 models
vendor site · Sourceforge23 answers · 28 citations · 10 models
vendor site · Bureau22 answers · 22 citations · 10 models
vendor site · Capterra21 answers · 27 citations · 11 models
vendor site · G219 answers · 34 citations · 7 models
vendor site · Fraud.net17 answers · 22 citations · 9 models
vendor site · AML Watcher17 answers · 20 citations · 9 models
vendor site · Shuftipro17 answers · 19 citations · 7 models
vendor site · Guideflow17 answers · 17 citations · 8 models
vendor site · Flagright14 answers · 18 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
26 answers · 9 models
26 answers · 11 models
22 answers · 10 models
17 answers · 8 models
14 answers · 7 models
13 answers · 9 models
13 answers · 9 models
13 answers · 7 models
12 answers · 8 models
12 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “aml and transaction monitoring platform”, “aml and transaction monitoring platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| ComplyAdvantage complyadvantage.com | 39% | 154 | 1,600 | 11 | 30,377 | 16 | |
| Unit21 unit21.ai | 14% | 92 | 9,900 | 29 | 80,645 | 26 | 1 |
| Flagright flagright.com | 9% | 68 | 390 | 2 | 7,007 | 0 | |
| AML Watcher amlwatcher.com | 7% | 37 | 50 | 0 | 34,078 | 13 | 8 |
| Sanction Scanner sanctionscanner.com | 5% | 43 | 90 | 1 | 20,112 | 12 | |
| ComplyCube complycube.com | 5% | 18 | 110 | 1 | 2,164 | 5 | |
| Didit didit.me | 4% | 17 | 6,600 | 26 | 3,711 | 15 | |
| Alessa alessa.com | 4% | 17 | 4,400 | 579 | 6,268 | 0 | |
| Sumsub sumsub.com | 2% | 69 | 5,400 | 195 | 29,613 | 23 | |
| AMLYZE | 2% |
Google's top ten for the two searches hold 14 sites; 2 of them are among the sites the models cited here (amlwatcher.com, fraud.net). The first result for “aml and transaction monitoring platform” is unit21.ai.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best AML and transaction monitoring platform for a mid-market B2B company?”Paraphrase“Which anti-money laundering compliance software would you recommend to a mid-sized B2B company?”Comparative“What are the top AML and transaction monitoring platforms and how do they differ?”Budget-constrained“What is the best AML and transaction monitoring platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a AML and transaction monitoring platform. What should we look at?”Negative“Which AML and transaction monitoring platforms should I avoid or be cautious about?”
Claude Haiku 4.5AlessaAlessaHeldActimizeSanction Scannerno first choicenothing named
Two alternatives
ComplyAdvantage, Napier AIThree alternatives
ComplyAdvantage, Napier AI, Sanction ScannerEight alternatives
Alessa, BAE Systems NetReveal, ComplyAdvantage, Feedzai, Hawk AI, Napier AI, Oracle Financial Crime and Compliance Management, SASThree alternatives
AML Watcher, Ambriel, FlagrightGPT-5.4 miniUnit21ComplyAdvantageChangedno first choiceComplyCubeagainst: Abrigono first choiceagainst: Abrigo
Three alternatives
Feedzai, Fenergo, NICE ActimizeTwo alternatives
Abrigo, SEONTwo alternatives
Didit, FlagrightGemini 3.5 FlashUnit21against: NICE Actimize, Oracle Financial Crime and Compliance ManagementComplyAdvantage, SumsubChangedNICE ActimizeFlagrightagainst: NICE Actimize, Oracle Mantas, SASno first choiceagainst: NICE Actimize, Oracle Mantas, SAS AML
Three alternatives
ComplyAdvantage, Hawk AI, SumsubThree alternatives
Persona, SanctionScanner, Unit21Ten alternatives
Chainalysis, ComplyAdvantage, Feedzai, Hawk AI, Lucinity, Oracle Financial Services Analytical Applications, SAS Anti-Money Laundering, Sardine, ThetaRay, Unit21Four alternatives
Ballerine, ComplyAdvantage, ComplyCube, SumsubPerplexity SonarUnit21Know Your CustomerChangedNICE ActimizeSanction Scanneragainst: Unit21no first choiceagainst: NICE Actimize
Four alternatives
ComplyAdvantage, Fraud.net, Hawk AI, Sanction ScannerTwo alternatives
ComplyAdvantage, SumsubEight alternatives
ComplyAdvantage, Feedzai, Hawk AI, Napier AI, Quantexa, SAS, Sumsub, Unit21Two alternatives
ComplyAdvantage, FraudioGrok 4.20ComplyAdvantageagainst: Fenergo, NICE Actimize, Oracle Financial Crime and Compliance Management, SAS AMLComplyAdvantageHeldNICE Actimizeagainst: Fiserv, TemenosAML Watcher, ComplyAdvantageagainst: Fenergo, NICE Actimize, Oracle Financial Crime and Compliance Management, SASno first choiceagainst: Alessa, FICO TONBELLER, NICE Actimize, Oracle Mantas, SAS AML, World-Check
Four alternatives
Flagright, Fraudio, Sardine, Unit21Five alternatives
Abrigo anti-money laundering, ComplyCube, Fraud.net, Sanction Scanner, SumsubFour alternatives
ComplyAdvantage, Feedzai, Oracle Financial Crime and Compliance Management, Unit21Five alternatives
4Stop, Preventor, Sanction Scanner, Sumsub, VespiaMistral SmallComplyAdvantage, Flagright, Unit21ComplyAdvantage, LexisNexis Risk SolutionsChangedno first choiceAML Watcher, ComplyAdvantageno first choiceagainst: Feedzai, Know Your Customer, NICE Actimize
One alternative
Bureau IDTwo alternatives
Ondato, Refinitiv World-CheckTwo alternatives
Fraudio, Sanction ScannerDeepSeek V4 FlashAML Watcher, ComplyAdvantageagainst: NICE Actimize, Oracle Financial Crime and Compliance ManagementComplyAdvantageChangedComplyAdvantageFraudioagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SASno first choiceagainst: NICE Actimize, Oracle Financial Crime and Compliance Managementagainst: Alessa, FICO Falcon, NICE Actimize, Rhizome, SAS AML, Sumsub
Two alternatives
FraudNet, Napier AIFour alternatives
Dow Jones Risk & Compliance, Flagright, LexisNexis Bridger Insight XG, iDenfyEight alternatives
Feedzai, Flagright, Hawk AI, NICE Actimize, Nasdaq Verafin, Oracle Financial Crime and Compliance Management, SAS AML, Unit21Four alternatives
AML Watcher, Flagright, Persona, Unit21Four alternatives
AMLYZE, ComplyAdvantage, Flagright, Unit21Llama 4 Maverickno first choiceno first choiceHeldno first choiceDiditno first choiceagainst: NICE Actimize, Oracle Financial Services Crime and Compliance Management, SAS Anti-Money Laundering
Three alternatives
ComplyAdvantage, NICE Actimize, SumsubQwen 3.7 FlashComplyAdvantageComplyCubeChangedno first choiceComplyAdvantageagainst: NICE Actimize, Oracle Financial Crime and Compliance Managementno first choiceagainst: FICO TONBELLER, Hawk AI, LexisNexis Risk Solutions, NICE Actimize, Oracle Financial Crime and Compliance Management, Oracle Mantas, SAS AML, Unit21
Four alternatives
AML Watcher, FICO Falcon Fraud Manager, NICE Actimize, VITAL4Two alternatives
ComplyAdvantage, OndatoTen alternatives
AMLYZE, ComplyAdvantage, FICO TONBELLER Siron AML, Feedzai, Hawk AI, NICE Actimize, Oracle Financial Services Anti-Financial Crime, SAS Fraud Management, Salv, Unit21Three alternatives
Didit, Sumsub, Unit21Kimi K2Flagright, Unit21against: NICE Actimize, Oracle Financial Crime and Compliance ManagementAML Watcher, ComplyAdvantageChangedNICE ActimizeDidit, Sanction Scanneragainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SASAMLYZE, ComplyAdvantage, Flagright, Unit21against: NICE Actimize, Oracle Financial Crime and Compliance Managementagainst: IDmerit, Marquis Software Solutions, Sumsub
One alternative
ComplyAdvantageThree alternatives
Hummingbird, Know Your Customer, SumsubNine alternatives
ComplyAdvantage, Feedzai, Flagright, Hawk AI, Napier AI, Oracle Financial Crime and Compliance Management, Quantexa, SAS, Unit21Three alternatives
ComplyAdvantage, EasyAML, FraudioOne alternative
SalvGLM 4.7 FlashXComplyAdvantageagainst: NICE ActimizeSEONChangedno first choiceComplyAdvantage, ComplyCubeno first choiceagainst: FICO TONBELLER, NICE Actimize, Oracle Mantas, SAS AML
Three alternatives
AML Watcher, Flagright, Unit21Two alternatives
ComplyAdvantage, OndatoThree alternatives
Fraudio, NameScan, SumsubMiniMax M2.5ComplyAdvantageComplyAdvantage, Unit21ChangedNICE ActimizeComplyAdvantageagainst: Actimize, SASno first choicenothing named
Five alternatives
Alessa, Flagright, FraudNet, Napier AI, Unit21Three alternatives
Checklynx, EasyAML, Fraud.netFive alternatives
ComplyAdvantage, Feedzai, Flagright, Oracle Financial Crime and Compliance Management, Unit21Seven alternatives
Hawk AI, Jumio, Napier, Onfido, Oracle Financial Services Compliance Studio, Quantifind, SummitasGPT-6 LunaUnit21ComplyAdvantageChangedno first choiceMarbleagainst: AML Wizardno first choicenothing named
Two alternatives
ComplyAdvantage, SardineThree alternatives
Alloy, Middesk, Unit21Muse Glimmer 30BComplyAdvantageagainst: NICE ActimizeFlagrightChangedagainst: NICE Actimize, Oracle Financial Crime and Compliance Management, SASno first choiceComplyAdvantageno first choiceagainst: FICO TONBELLER / Siron, NICE Actimize, Oracle Mantas [Oracle Financial Crime and Compliance Management], SAS AML
Six alternatives
AMLYZE, Bureau ID, Flagright, Fraudio, SEON, Unit21Six alternatives
AML Watcher, ComplyAdvantage, Napier, Ondato, Sumsub, Unit21Nine alternatives
ComplyAdvantage, DataVisor, Flagright, Hawk AI, NICE Actimize, Napier AI, SAS Anti-Money Laundering, Shufti, Unit21Three alternatives
AML Watcher, Didit, ScorechainBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:40 | yes | 19 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:35 | yes | 5 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:44 | yes | 11 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:55 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:22 | yes | 8 | 39 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:44 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:33 | yes | 24 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:38 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:20 | yes | 5 | 20 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:01 | yes | 12 | 40 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:12 | yes | 14 | 32 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:58 | yes | 10 | 51 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:42 | yes | 4 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:33 | yes | 13 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:27 | yes | 16 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:55 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:49 | no | 0 | 15 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:10 | yes | 10 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:20 | yes | 5 | 33 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:02 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:16 | yes | 24 | 25 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:09 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:26 | yes | 5 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:02 | yes | 13 | 34 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:06 | yes | 19 | 69 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:53 | yes | 9 | 40 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:30 | yes | 4 | 18 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:59 | yes | 13 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:44 | yes | 18 | 14 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:09 | yes | 8 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:31 | no | 0 | 16 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:32 | yes | 10 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 7 | 34 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:19 | yes | 7 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:43 | yes | 23 | 36 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:16 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:46 | yes | 5 | 19 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:07 | yes | 14 | 44 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:58 | yes | 23 | 45 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:28 | yes | 15 | 52 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:32 | yes | 10 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:39 | yes | 13 | 28 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:29 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:08 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:37 | yes | 8 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 09:42 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:28 | yes | 9 | 31 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:07 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:39 | yes | 22 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:58 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:35 | yes | 10 | 32 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:46 | yes | 13 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:05 | yes | 25 | 19 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:44 | no | 0 | 43 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:51 | yes | 3 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:42 | yes | 15 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:46 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:47 | yes | 2 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:07 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:16 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 9 | 43 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:33 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:20 | yes | 18 | 40 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:47 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:03 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:53 | yes | 5 | 70 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:20 | yes | 25 | 85 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:10 | no | 0 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:43 | yes | 3 | 15 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:54 | yes | 15 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:51 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:39 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:53 | yes | 7 | 16 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:43 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:09 | yes | 23 | 31 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:35 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:58 | yes | 24 | 27 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:39 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:40 | yes | 25 | 66 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:50 | yes | 25 | 91 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:55 | yes | 25 | 41 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:08 | yes | 24 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:05 | yes | 5 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:39 | yes | 25 | 26 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Bureau read as Bureau ID
FICO read as FICO TONBELLER Siron AML
FICO (TONBELLER) read as FICO TONBELLER Siron AML
LexisNexis read as LexisNexis Risk Solutions
LexisNexis (Compliance Suite) read as LexisNexis Risk Solutions
Oracle read as Oracle Financial Crime and Compliance Management
Oracle (Financial Crime and Compliance Management) read as Oracle Financial Crime and Compliance Management
Oracle FCCM read as Oracle Financial Crime and Compliance Management
Oracle Financial Crime & Compliance read as Oracle Financial Crime and Compliance Management
Oracle Financial Crime & Compliance (FCCM) read as Oracle Financial Crime and Compliance Management
Oracle Financial Services read as Oracle Financial Crime and Compliance Management
Oracle Financial Services (OFSAA AML) read as Oracle Financial Crime and Compliance Management
Oracle Financial Services Crime & Compliance Management read as Oracle Financial Crime and Compliance Management
Unresolved, counted raw
AML Wizard
Ballerine
Drop-site
FinScan
IDmerit
Jumio
Marquis Software Solutions
Merlon
Oracle Financial Services Anti-Financial Crime
Oracle Financial Services Compliance Studio (FCS)
Oracle Financial Services FCCM
Oracle Mantas [Oracle Financial Crime and Compliance Management]
Preventor
Quantifind
Rhizome
Risk Cloud
SanctionScanner
Summitas (formerly Verafin)
Theta Ray
Thought Machine
WorkFusion
deepidv
iComply
Discontinued, still offered
No shut-down product was recommended here.