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High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Passed 16 of 20 test cases with the skill, and 3 of 20 without it.
and 21 more in the full report
14 fixed4 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a terminal command to execute a web search for 'latest AI news' using the search script located in the repository scripts directory. Someone suggested calling 'python3 scripts/web_search.py'.
| Checked | Without skill | With skill |
|---|---|---|
| Executes scripts/search.py with python3. | Missed | Passed |
| Passes the query argument directly after the script path. | Missed | Passed |
The instructions your model reads when the skill loads.
High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.
pip install parallel-web
API key is configured. Uses Python SDK.
from parallel import Parallel
client = Parallel(api_key="YOUR_KEY")
response = client.beta.search(
mode="one-shot",
max_results=10,
objective="your query"
)
# Search with Python SDK
python3 {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5
# JSON output
python3 {baseDir}/scripts/search.py "latest AI news" --json
Returns structured results with:
search_id - unique search identifierresults[] - array of results with:
url - source URLtitle - page titleexcerpts[] - relevant text excerptstest cases passed, vs 3 / 20 without
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