WANDR D
AI benchmark · Agentic
- Publisher
- Official Technical Report
- Tier
- D why
- Snapshot
What is WANDR?
WANDR (Wide ANd Deep Research) evaluates research agents on 500 realistic, high-volume data-collection tasks that require broad entity discovery, systematic enrichment, and evidence-backed claims. Its reference-free grader re-fetches cited pages and reports soft and hard precision, recall, and F1 over hierarchical task structures.
Tier D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 3 models scored
- fewer than 5 models scored
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: 3 models scored; fewer than 5 models scored. Tier D.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.