# Parallect

> Use this tool when you need to conduct comprehensive research across multiple AI providers and consolidate findings into a single, reliable report. Parallect solves the problem of manual result aggregation and inconsistency by synthesizing outputs from top AI providers, including Perplexity, Gemini, and OpenAI. It is ideal for researchers, analysts, and developers seeking high-confidence research outputs with cross-referenced citations and contradiction detection.

Canonical page: https://skillsregistry.net/skills/parallect  
JSON: https://api.skillsregistry.net/v1/skills/parallect

## Description

Parallect orchestrates deep research queries across five AI providers — Perplexity, Gemini, OpenAI, Grok, and Claude — simultaneously, then synthesizes their findings into a single report with cross-referenced citations, confidence-scored claims, and contradiction detection. Researchers, analysts, and developers use it to get higher-confidence research outputs without manually aggregating results from multiple tools. The pay-per-use model charges per research job with budget tiers ranging from single-provider to all-provider runs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/parallect)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "parallect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parallect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parallect/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt