Hyperplexity

# 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)