Valendata Inc.
Valendata turns website tasks into reusable, structured-data skills that can be called as APIs or by AI assistants. Its stated goal is to make the web open and usable as an API for anyone who needs its data.
At a Glance
- AI-agent and developer teams
- Sales, marketing, and go-to-market teams
- Recruiting and talent teams
- E-commerce and retail intelligence teams
- +4 more
AI Tools by Valendata Inc.
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Valendata
Self Repairing Web Data Skills
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Latest News
Valendata published how its API and MCP server provide reliable web data for Meta Muse, OpenAI dots, Instinct, and other personal AI agents.
Valendata published 'What Is GTM Data? On-Demand Data for Go-to-Market Teams,' describing fresh accounts, contacts, and signals pulled from public sources.
Valendata published a guide to web scraping without getting blocked, emphasizing browser automation and resilient data extraction.
Valendata published a guide to turning any website into a structured API.
Products & Services
Reusable website tasks with typed inputs and fixed output fields. A Skill can be created from a plain-language request or a recorded browser session, then run on demand or on a schedule and exposed as an API endpoint.
Multi-step automations that chain Skills with code, HTTP calls, connected apps, and exports; they can be started from the app, API, schedules, webhooks, or AI assistants.
Hosted REST/API access and the MCP server at https://api.valendata.com/mcp, allowing applications and AI assistants to find and run Skills and Workflows.
MIT-licensed open-source kit for Claude Code, Codex, and Cursor, including the MCP connection, agent skill, plugins, installation scripts, and examples.
Market Position
Valendata positions itself between one-off scraping APIs, actor marketplaces, and general browser agents: unlike page-oriented scraping APIs, it saves typed tasks as reusable endpoints; unlike actor marketplaces, it can build a Skill for a site on demand; and unlike general browser agents, it emphasizes repeatable structured rows, self-repair, version history, scheduling, and workflows. Its own comparison material names Browser Use, Skyvern, and Apify as comparison points.
Leadership
Founders
Valentine Onuoha
Full-stack software engineer with TypeScript and Python experience, including FastAPI, Node.js, React, Playwright/CDP, AI agents, browser automation, and real-time backends. His public GitHub profile describes him as a FullStack/Backend Developer; he is identified as Valendata's founder on the company website.
Executive Team
Valentine Onuoha
Founder
Full-stack software engineer and AI/browser-automation builder; public profiles list TypeScript, Python, FastAPI, Node.js, React, Playwright/CDP, and backend development experience.
Founding Story
Valentine Onuoha says he started Valendata after repeatedly building scrapers, automation scripts, and desktop apps to get websites to do what he needed, only to have them break when sites changed. The initial vision was to let people use any website like an API: ask for what they need, receive clean data, and have the integration keep working as the site evolves.
Business Model
Revenue Model
Credit-based SaaS: customers pay monthly for credits consumed by AI models, browser and proxy time, searches, code runs, rows, and verification. Customers can also buy non-expiring one-time top-up credits; Enterprise is custom-priced.
Pricing Tiers
1,000 credits per month; $1 per 100 credits.
5,000 credits per month; saves $5 versus the $1-per-100-credit rate.
10,000 credits per month; saves $20 versus the $1-per-100-credit rate.
Larger volumes, invoicing, and setup help.
Target Markets
- AI-agent and developer teams
- Sales, marketing, and go-to-market teams
- Recruiting and talent teams
- E-commerce and retail intelligence teams
- Real-estate data users
- Finance and risk teams
- Web data extraction and structured API creation
- Sales research, lead generation, contact enrichment, and GTM signals
- E-commerce product, price, stock, and review monitoring
- Job-board and recruiting research
- Real-estate listing extraction
- Finance, risk, and portal monitoring workflows