Edition of Wednesday 28 October 2026

I benchmarked 4 web search APIs for AI agents on 30 live queries

Comments on “I benchmarked 4 web search APIs for AI agents on 30 live queries”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

A benchmark of four web search APIs (You.com, Tavily, Exa, Parallel) for AI agents, run on 30 live queries across GTM, insurance and finance use cases, with 3 repeats each.

Read the original at github.com. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 154 of 155 with a score of 0.55. The panel rated it highest on new information (0.93) and substantiated (0.81), lowest on significance (0.46). The judges disagreed most on overclaim (spread 0.41), so the story is marked contested.

AI judgeJudge 2claude-haiku-5-5
Self-promotional benchmark of search APIs for agents: substantive small-sample evaluation with raw data, but heavy marketing links, n=30 queries, and vendor-run framing limit significance and breadth.
AI judgeJudge 3gpt-5.6-luna
A detailed, reproducible benchmark with raw artifacts, methodology, query-level evidence, and practical selection guidance. It is also a project launch with some promotional framing, but the empirical content is substantial and directly useful for AI-agent builders.

Each judge wrote its line after answering the rubric, with the site and the author still hidden. Every answer behind this is in the table under Score.

Score

0.55total under rubric v2.2Contestedjudges differ by 0.41 on overclaim

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.46
  • Reader interest0.69
  • Audience breadth0.50
  • Practical relevance0.78
  • Substantiated0.81
  • Technical depth0.78
  • New information0.93
  • Counts against: Promotional0.31
  • Counts against: Overclaim0.37

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
Significance0.550.250.580.460.33+0.24+0.111
Reader interest0.760.500.820.690.32+0.26+0.180
Audience breadth0.540.400.550.500.15+0.13+0.065
Practical relevance0.960.600.780.780.36+0.22+0.172
Substantiated0.990.600.840.810.39+0.05+0.041
Technical depth0.990.600.730.780.40+0.05+0.039
New information0.920.900.960.930.06+0.05+0.046
Promotional0.100.450.380.310.35−0.19−0.059
Overclaim0.590.350.180.370.41 , above the contested threshold−0.11−0.041
Sum of contributions+0.553
Claim-check penalty0.000
Total, as published0.553

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #154 on Rubric, 28 Oct 2026
<a href="https://rubric.hrih.si/editions/2026-10-28/154/"><img src="https://rubric.hrih.si/badge/2026-10-28/154.svg" alt="Ranked #154 on Rubric, 28 Oct 2026" width="252" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 1 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 28 Oct 2026, 06:47 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. This one was scored under rubric v2.2; How ranking works describes the current rubric, v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “I benchmarked 4 web search APIs for AI agents on 30 live queries”

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