pith:E5K7KBOU
DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis
DataClaw is a new benchmark that evaluates data-analysis agents on noisy real-world records by tracking their step-by-step progress through 492 annotated tasks.
arxiv:2605.02503 v2 · 2026-05-04 · cs.AI
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\pithnumber{E5K7KBOUPDPERRJ4KDMYIHXC3D}
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Record completeness
Claims
Experiments with eight advanced LLMs show that current agents remain far from reliable in this setting, with seven models achieving below 50% overall accuracy.
That the 492 cross-domain tasks and their intermediate milestone annotations faithfully represent the process and difficulty of real-world exploratory data analysis in underexplored environments.
DataClaw supplies a process-oriented benchmark of real-world noisy data and milestone-annotated tasks that shows seven of eight tested LLMs achieve below 50% accuracy on exploratory analysis.
Receipt and verification
| First computed | 2026-05-20T00:04:33.747376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2755f505d478de48c53c50d9841ee2d8e0fa5c428507e1617fce2f5dd823db08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E5K7KBOUPDPERRJ4KDMYIHXC3D \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2755f505d478de48c53c50d9841ee2d8e0fa5c428507e1617fce2f5dd823db08
Canonical record JSON
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