Loading company intelligence…
Loading the latest published snapshot and its supporting evidence.
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 | 58.23 percentderived | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 14 urlsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 13 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 | 24 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 |
|---|---|---|---|---|---|---|---|
| #7 | Prompt Brand Leadersai-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-4-ai-model-api-platforms-2026-07-26-models-64232fd32583 | Explain → |
| #11 | AI Engine Disagreement by Promptai-prompt-engine-disagreement | 58.23 | — | 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 | 24 | 0% | — | 1 | available |
| public prompt citation urls | 14 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 13 | 0% | — | 1 | available |
10 published observations for What are the best LLM API platforms for a production application?. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | As of | Confidence | Evidence |
|---|---|---|---|---|---|
| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
| Distinct citation URLspublic-prompt-citation-urls | 14urls | measured | Jul 27, 2026 | 100% | View source
|
| public prompt engine disagreement | 58.228438 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
|---|
methodology_changed
The methodology changed from the prior snapshot; movement is not directly comparable.
No comparable component drivers were published.
{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-production-llm-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["531606f0-6b61-4511-ac4d-3ab45b9daa62","4561d1d2-8257-4a92-b584-e2db6b5c6c82","4dae7ede-9240-4d19-94a1-fcfbfcd959f5"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 24presence_events | measured | Jul 27, 2026 | 100% | View source
|
|---|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 58.2284percent | derived | Jul 27, 2026 | 100% | View source
|
|---|
| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 13brands | measured | Jul 27, 2026 | 100% | View source
|
|---|
| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 13brands | measured | Jul 27, 2026 | 100% | View source
|
|---|
| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 24presence_events | measured | Jul 27, 2026 | 100% | View source
|
|---|
| Distinct citation URLspublic-prompt-citation-urls | 14urls | measured | Jul 27, 2026 | 100% | View source
|
|---|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 58.2284percent | derived | Jul 27, 2026 | 100% | View source
|
|---|
| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
|---|