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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Public recommendation prompt in the Rank.ai AI API Brands benchmark.
A current roll-up of published ranks, normalized facts, primary evidence, and entity relationships. No missing value is inferred.
| Metric | Value | As of | Evidence | Confidence |
|---|---|---|---|---|
| public_prompt_insightsCross-engine brand disagreement | 42.86 percentderived | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 16 urlsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 7 brandsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsLeading-brand engine consensus | 100 percentderived | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsReviewed-brand presence events | 15 presence_eventsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
Every currently published position, joined to its snapshot, confidence, and methodology version.
| Rank | Leaderboard | Score | Movement | Confidence | As of | Method | Open explanation |
|---|---|---|---|---|---|---|---|
| #14 | Prompt Brand Leadersai-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-4-ai-model-api-platforms-2026-07-26-models-64232fd32583 | Explain → |
| #18 | AI Engine Disagreement by Promptai-prompt-engine-disagreement | 42.86 | — | 100% | Jul 27, 2026 | v1-4-ai-model-api-platforms-2026-07-26-models-64232fd32583 | Explain → |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 15 | 0% | — | 1 | available |
| public prompt citation urls | 16 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 7 | 0% | — | 1 | available |
10 published observations for Which AI model API providers are strongest for enterprise software teams?. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | As of | Confidence | Evidence |
|---|---|---|---|---|---|
| Distinct citation URLspublic-prompt-citation-urls | 16urls | measured | Jul 27, 2026 | 100% | View source
|
| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
| public prompt engine disagreement | 42.857143 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
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methodology_changed
The methodology changed from the prior snapshot; movement is not directly comparable.
No comparable component drivers were published.
{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"enterprise-llm-api-providers","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["b65ae72d-42a7-46d0-9bbf-0fe410794a30","7cb372f7-a7af-4a3c-9645-fe6f444aa3dc","687eace1-ea73-4803-beb2-e870e00a73af"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 7brands | measured | Jul 27, 2026 | 100% | View source
|
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| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 42.8571percent | derived | Jul 27, 2026 | 100% | View source
|
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 15presence_events | measured | Jul 27, 2026 | 100% | View source
|
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| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 42.8571percent | derived | Jul 27, 2026 | 100% | View source
|
|---|
| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
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| Distinct citation URLspublic-prompt-citation-urls | 16urls | measured | Jul 27, 2026 | 100% | View source
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 15presence_events | measured | Jul 27, 2026 | 100% | View source
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| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 7brands | measured | Jul 27, 2026 | 100% | View source
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