Parallel

High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...

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Last updated: April 29, 2026

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Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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Parallel.ai 🔬

High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.

Setup

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",  # or "fast" for lower latency/cost, "agentic" for multi-hop
    max_results=10,
    objective="your query"
)

Modes

Mode	Use Case	Tradeoff
`one-shot`	Default, balanced accuracy	Best for most queries
`fast` ⚡	Quick lookups, cost-sensitive	Lower latency/cost, may sacrifice some accuracy
`agentic`	Complex multi-hop research	Higher accuracy, more expensive

Quick Usage

# Default search (one-shot mode)
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5
Fast mode - lower latency/cost ⚡
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --mode fast
Agentic mode - complex research
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "compare transformer architectures" --mode agentic
JSON output
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --json

Response Format

Returns structured results with:

```
search_id
```
- unique search identifier
```
results[]
```
- array of results with:
- ```
url
```
  - source URL
- ```
title
```
  - page title
- ```
excerpts[]
```
  - relevant text excerpts
- ```
publish_date
```
  - when available
```
usage
```
- API usage stats

When to Use

Deep research requiring cross-referenced facts
Company/person research with citations
Fact-checking with evidence-based outputs
Complex queries that need multi-hop reasoning
Higher accuracy than traditional search for research tasks

API Reference

Docs: https://docs.parallel.ai Platform: https://platform.parallel.ai

Parallel

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Quick Start

Manual Installation

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Parallel.ai 🔬

Setup

Modes

Quick Usage

Fast mode - lower latency/cost ⚡

Agentic mode - complex research

JSON output

Response Format

When to Use

API Reference

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