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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Public commercial prompt in the Rank.ai Agent Frameworks 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 | 44.44 percentderived | Jul 27, 2026 | Rank.ai Agent Frameworks Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 15 urlsmeasured | Jul 27, 2026 | Rank.ai Agent Frameworks Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 3 brandsmeasured | Jul 27, 2026 | Rank.ai Agent Frameworks Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsLeading-brand engine consensus | 100 percentderived | Jul 27, 2026 | Rank.ai Agent Frameworks Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsReviewed-brand presence events | 5 presence_eventsmeasured | Jul 27, 2026 | Rank.ai Agent Frameworks 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 |
|---|---|---|---|---|---|---|---|
| #4 | Agent Frameworks Prompt Brand Leadersai-agent-frameworks-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-parent-b391f18dce56ed52 | Explain → |
| #9 | Agent Frameworks Engine Disagreement by Promptai-agent-frameworks-prompt-engine-disagreement | 44.44 | — | 100% | Jul 27, 2026 | v1-parent-b391f18dce56ed52 | 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 | 5 | 0% | — | 1 | available |
| public prompt citation urls | 15 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 3 | 0% |
5 published observations for When should an engineering team adopt an agent framework instead of building a tool-calling loop directly on a model API?. 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
|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 44.4444percent | derived | Jul 27, 2026 | 100% | View source
|
| — |
| 1 |
| available |
| public prompt engine disagreement | 44.444444 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}{"promptSlug":"agent-framework-vs-raw-model-sdk","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["5fc16d3b-5141-4373-913a-5d1e9a058fbf","a3f7a0ba-412f-46e3-90cb-838e1a351773","56684c5c-d321-4d2c-be1f-278046624a71"],"parentSnapshotId":"2c0c4061-f378-4eae-8051-719dd21a6217","providerMatrixVersion":"64232fd32583"}| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 3brands | measured | Jul 27, 2026 | 100% | View source
|
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| Distinct citation URLspublic-prompt-citation-urls | 15urls | measured | Jul 27, 2026 | 100% | View source
|
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 5presence_events | measured | Jul 27, 2026 | 100% | View source
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