"Unreal Engine" matching MCP connectors:
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Find novel, statistically validated patterns in tabular data — hypothesis-free.
Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.
Mine, validate and paper-trade quantitative trading strategies. The engine runs on your machine.
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.
Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.
Compare two versions of a JSON row list: what was added, removed or changed, field by field.
GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
Send one HTTP request, or one per row of a dataset, CSV or Google Sheet, and get the response back
Bulk phone validation for an Apify dataset, CSV/Excel/JSON file or Google Sheet
Cleans an email list from an Apify dataset, a CSV/Excel file or Google Sheet, keeping every...
Returns two Apify datasets, files or Google Sheets by URL, or JSON arrays joined on key fields...
Returns rows of any Apify dataset, CSV/Excel/JSON file URL or Google Sheet that pass filter...
Returns what was added, removed or changed between two Apify datasets, files, Google Sheets or...
Returns a deduplicated, flattened and cleaned copy of any Apify dataset, file or Google Sheet by...
Returns GROUP BY and pivot tables for any Apify dataset, file or Google Sheet by URL, or JSON...
OCR every image and scanned PDF linked in an Apify dataset, CSV, Excel or Google Sheet, keeping...
Upscales every image linked in a dataset, CSV, Excel file or Google Sheet 2x, 3x or 4x with AI...
Push rows from a dataset, file or Google Sheet into a Postgres, Supabase, Neon or MySQL table.