INDEX
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AI_RESEARCH
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STORM
v2026.9
PROVED: 0xpricing checked 2026-09-15
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archive:data/tools
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LATENCY: Performance 82/100
Article generation
Simulated experts
FREE PRICING
Verified Audit
STORM
/ STRUCTURED TOPIC OVERVIEWS
business
Stanford OVAL
•
verified
Verified Research Audit
Stanford system generating Wikipedia-style articles with citations
Composite Index Rating
CLASS: A-TIER
84.4/100
Rank #14 in Research & Retrieval
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Snapshot 2026-09-15
30d Velocity
Benchmark Confidence:
v2-5dim rubric
Recorded features:
4 recorded features
Primary Engine:
Co-STORM
Citation Precision
link
84.0%
Answer grounding against retrieved sources (5-dim quality).
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84.0% rubric quality
Research Automation
hub
78/100
Depth of autonomous multi-source investigation capabilities.
Avg Depth: 4 recorded features
Runtime Performance
speed
82/100
Runtime performance & latency dimension (v2-5dim rubric).
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Rubric v2-5dim
Onboarding Usability
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84.0%
Workflow ergonomics from the v2-5dim rubric.
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Usability dimension
Recorded Score Vectors
Archive snapshots refreshed on each data update cycle.
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Output Quality & Reliability
84.0%
correctness and consistency of primary task output.
v2-5dim
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Feature Depth & Integrations
78.0%
breadth of integrations, APIs, and advanced capabilities.
v2-5dim
fact_check
Onboarding & Usability
84.0%
onboarding friction, UI clarity, and workflow ergonomics.
v2-5dim
attachment
Runtime Performance & Latency
82.0%
latency, throughput, and stability under load.
v2-5dim
psychology
Price-to-Value Efficiency
94.0%
capability delivered per pricing tier dollar.
v2-5dim
30-Day Evaluation Quality & Consistency Index
Precision
Baseline
Day -30 (baseline audit)
Day -15 (audit refresh)
Today (84.4 Composite)
Engine Architecture
Technical primitives powering the STORM pipeline.
01
Article generation
Wikipedia-like articles with citations.
Source: STORM · 2026-09-15
02
Simulated experts
Multi-perspective question asking.
Source: STORM · 2026-09-15
03
Co-STORM
Collaborative mind-map discourse mode.
Source: STORM · 2026-09-15
04
Open source
knowledge-storm package for custom deployment.
Source: STORM · 2026-09-15
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Head-to-Head Comparison
Direct Peer Evaluation Matrix
Updated: Per-audit refresh
| Engine / Platform | AiRecMark Score | Retrieval Paradigm | Deep Research Mode | Model Agility | Hallucination Delta | Pricing / Seat |
|---|---|---|---|---|---|---|
|
S
STORM
Target
|
● 84.4 | Stanford system generating Wikipedia-style a | check_circle Agentic research mode | Stanford OVAL | -—% vs raw LLM | $0/mo |
|
C
Claude
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96.1 | Adaptive Reasoning Engine | check_circle Guided research mode | Managed models | -—% vs raw LLM | — |
|
P
Perplexity
|
93.6 | Multi-Turn Source Grounding | remove Guided research mode | Managed models | -—% vs raw LLM | $20/mo Pro |
|
C
ChatGPT
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90.9 | General Reasoning | check_circle Guided research mode | Managed models | -—% vs raw LLM | $20/mo |
|
G
Gemini
|
88.5 | Users embedded in Google's ecosystem who wan | remove Guided research mode | Managed models | -—% vs raw LLM | $19.99/mo |
Metrics aggregated from published archive fields.
Five-dimension rubric v2 (25/20/15/20/20 weighting).
Financial & Token Econometrics
Subscription & API Tiers
Verified plan specifications and monthly throughput allowances.
Engineering Tier
Pro
$0
/ mo
- check Article generation
- check Simulated experts
- check Co-STORM
- close Research-preview limits may change
- close Article-length output, not conversational search
Recommended
TEAM
Teams
Custom
volume
- check Team seats & workspaces
- check Volume discounts
- check Priority support
- check SSO / SAML & audit controls
Sovereign Deployment
Enterprise
Custom
SLA terms
- check SSO / SAML & audit controls
- check Dedicated support channel
- check Custom quota & SLA
- close Research-preview limits may change
- close Article-length output, not conversational search
verified_user
AiRecMark Lead Analyst Assessment
"STORM stands out for generates cited, structured topic reports free. Stanford system generating Wikipedia-style articles with citations anchors its proposition, and AiRecMark's five-dimension audit lands it at 84.4/100 — a pragmatic default for structured Topic Overviews."
EVALUATION SIGN-OFF:
SIGNER: AiRecMark Editorial · 2026-09-15 (AIRECMARK-DAO)
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Empirical Advantages
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Documented Technical Trade-offs
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Pricing Source Verification
sha256: 2026-09-15