// BENCHMARK_REPORT_V2.5

Grounding the
intelligence

Wield provides the missing layer to make LLMs more efficient, eliminate hallucinated and stale predictions, and add powerful scientific and computational capabilities.

Grounding Success
96%
Baseline: 12%
Verified accuracy across live data feeds (Finance, Network, etc.)
Hallucination Gap
98%
Baseline: 45%
Reduction in fabricated data points vs baseline LLM performance
Data Freshness
100%
Baseline: 5%
Average recency of retrieved info compared to real-time events

Proof Points & Live Examples

Network & Web Intelligence
100% CONNECTIVITY
PROMPT_INPUT

"Identify the top 3 items on Hacker News right now and audit their technology stacks (frameworks, CDNs, analytics) using only live network headers and page content."

Vanilla_LLM_Output
Hallucinated trending items based on 2023 data. Failed to access live HN feed. Provided generic tech stack assumptions.
[HALLUCINATED]
Wield_Augmented_LLM
Successfully identified "guppylm", "pg_flo", and "PyVideo" as trending. Executed deep-scans on GitHub and identified Next.js/Vercet stacks via headers.
[GROUNDED]
Financial Audit & Filings
+LIVE SEC DATA
PROMPT_INPUT

"Analyze Reddit (RDDT) performance: get current ticker price and market cap; retrieve the latest 10-Q filing from EDGAR and summarize top 2 risk factors."

Vanilla_LLM_Output
Stale price ($132.88). Failed to retrieve EDGAR filing. Provided a general summary of Reddit rather than specific 10-Q risks.
[STALE]
Wield_Augmented_LLM
Price: $136.00 | Cap: $25.9B. Retrieved 10-Q (Accession 0001713445-25-000227). Identified ad-revenue concentration risks.
[LIVE]
Security & Vulnerability
REAL-TIME AUDIT
PROMPT_INPUT

"Search the NVD for 'High' or 'Critical' severity CVEs published in the last 12 months for 'Linux Kernel'."

Vanilla_LLM_Output
Listed outdated CVEs from 2010/2023. Failed to identify 2024 exploits. Summaries were generic.
[ERROR]
Wield_Augmented_LLM
Identified CVE-2024-1086 (Netfilter UAF) and CVE-2024-26602 (io_uring race). Provided precise technical impact summaries.
[VERIFIED]
Precision Science
100% MATH_LOGIC
PROMPT_INPUT

"Perform a molecular analysis of peptide sequence: calculate weight, pI, instability; find motif; perform Smith-Waterman alignment."

Vanilla_LLM_Output
Estimated weight (+/- 100 Da error). Failed to perform local alignment calculation, providing a description instead of a score.
[STALE]
Wield_Augmented_LLM
MW: 8781.94 Da | pI: 7.91. Successfully located HGKK motif and performed perfect Smith-Waterman alignment (Score: 40).
[VERIFIED]
Temporal Reasoning
+DATE ALIGNMENT
PROMPT_INPUT

"What time is it in Tokyo right now, and how many days remain until Christmas 2026?"

Vanilla_LLM_Output
Stale date anchor. Hallucinated current Tokyo time. Math for 2026 countdown was inconsistent with current year.
[STALE]
Wield_Augmented_LLM
Tokyo: 17:39:26 JST. Countdown: 262 days, 15 hours, 20 minutes remaining. Verified against live system clock.
[LIVE]
Methodology: SOTA LLM comparison across 10 modules using Wield vs baseline reasoning. 180s timeout cap with deterministic validation.

Live Trace Explorer

Trace #8392-F (Cryptography)

Prompt: Generate SHA-256 for "wield-toolkit"

VERIFIED
CALLcryptography_hash_text(text="wield-toolkit", algorithm="sha256")
RETN55f75da3dc8721068ae3985474d927bc9e1c1fab5ddd...
Model Success
98.2%
Tool Latency
142ms
Correctness
100.0%
Grounding
Active

Infrastructure Audit

RUNNING_EVAL
Concurrency: 4 worker threads
Model: Low-latency SOTA LLM
GROUNDING_SYSLOG
SEC Filings: EDGAR v2.4 (Active)
Live Web: Firecrawl/Fetch (Active)
LATENCY_P95
Agent Reasoning: 1.2s
Tool Execution: 840ms

Built for Absolute Control

The core difference between a chatbot and a system agent is its ability to interact with deterministic reality. Wield provides the bridge.