# Hyperplexity

> Use this tool when you need to generate verified research tables or fact-check existing documents with confidence scores and citations. Hyperplexity conducts deep research across entire domains, providing structured tables with sourced answers, confidence ratings, and links to evidence. It accepts plain English prompts, existing Excel or CSV files, or text passages as input, and outputs verified tables in Excel format and interactive viewers.

Canonical page: https://skillsregistry.net/skills/hyperplexity-production  
JSON: https://api.skillsregistry.net/v1/skills/hyperplexity-production

## Description

# Hyperplexity — AI Research Tables with Citations and Confidence Scores

**Turn a prompt into a verified, cited research table. Or fact-check any table or document you already have.**

Hyperplexity gives Claude the ability to conduct deep, structured research across entire domains — not one question at a time, but hundreds of cells simultaneously, each with a sourced answer, a confidence rating, and links to the evidence.

---

## What it does

You describe what you want in plain English. Hyperplexity researches it, validates every fact, and returns a structured table where each cell has:

- ✅ A verified answer
- 📊 A confidence score (HIGH / MEDIUM / LOW)
- 🔗 Citations to the actual sources

The output is an Excel file and a shareable interactive viewer. Claude drives the full workflow — you just review and approve.

---

## Three ways to start

Once installed, tell Claude what you want in plain English — it drives everything from there.

| Goal | What to say to Claude |
|------|----------------------|
| **Generate a table from a prompt** | *"Use Hyperplexity to create a table of the top 20 US biotech companies with columns: company, market cap, lead drug, and phase."* |
| **Validate an existing Excel or CSV** | *"Use Hyperplexity to validate `companies.xlsx`. Interview me about what each column means, then run the preview."* |
| **Fact-check a document or passage** | *"Use Hyperplexity to fact-check this analyst report."* *(paste text or share a file path)* |

Claude handles the full workflow — upload, configure, preview, approve — pausing only when a decision genuinely needs you.

---

## What each workflow does

### Generate a table from a prompt
Claude starts a table-maker session, clarifies the structure if needed, builds the table, runs a free 3-row preview, and waits for your approval before billing.

### Validate an existing Excel or CSV file
Upload any table and Hyperplexity fact-checks every cell against live sources. It learns the meaning of your columns through a short interview (or you can skip the interview entirely with a one-line description), then runs the same preview-then-approve flow.

### Fact-check a document or text passage
Paste an analyst report, a research abstract, or any text with factual claims. Hyperplexity extracts each claim, verifies it independently, and returns support levels: **SUPPORTED / PARTIAL / UNSUPPORTED / UNVERIFIABLE** — with the source for every verdict.

### Refresh a table you already ran
Re-run validation on any prior job to pick up changes in source data. No re-upload or configuration needed.

---

## Why it's different

Most AI tools answer one question at a time. Hyperplexity answers a whole research domain at once — running hundreds of targeted searches, applying QC passes, and reconciling conflicting sources — then packages the results into a structured, citable format.

The MCP integration means Claude can drive the entire workflow autonomously: upload, configure, preview, approve, and retrieve results — pausing only when a decision genuinely requires human input.

---

## Pricing

| | Cost |
|--|--|
| Preview (first 3 rows) | Free |
| Standard validation | ~$0.05 / cell |
| Advanced validation | up to ~$0.25 / cell |
| Minimum per run | $2.00 |

New accounts get **$20 in free credits** — enough for several full tables.

---

## Get started

1. Get your API key at [hyperplexity.ai/account](https://hyperplexity.ai/account)
2. Install the MCP server:

**Option A — uvx (recommended):**
```bash
claude mcp add hyperplexity uvx mcp-server-hyperplexity \
  -e HYPERPLEXITY_API_KEY=hpx_live_your_key_here
```

**Option B — Direct HTTP to Railway:**
```bash
claude mcp add hyperplexity \
  --transport http \
  https://mcp-server-hyperplexity-production.up.railway.app/ \
  --header "X-Api-Key: hpx_live_your_key_here"
```

**Option C — Smithery** (for OpenClaw and other Smithery-compatible clients):
```bash
npx -y @smithery/cli@latest login
npx -y @smithery/cli@latest mcp add hyperplexity/hyperplexity --client claude-code
```
Then open your client → `/mcp` → **hyperplexity → Authenticate** → enter your API key.

3. Ask your agent: *"Use Hyperplexity to generate a table of…"*

Full documentation: [eliyahu.ai/api-guide](https://eliyahu.ai/api-guide)

## 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:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hyperplexity/production)

## 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": "hyperplexity-production"
    }
  }
}
```

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

---
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