akta.pro

akta.pro is a private company data and signals API built for agents and data teams that need structured business intelligence without sending every research task through search results and long LLM prompts. The official site positions it as agent-native infrastructure from Wokelo AI, with access through API, MCP, CLI, and bulk data. That makes it a useful source for AI agents that need company facts, event signals, sector monitoring, or diligence inputs in a predictable schema. The strongest public claims are about coverage and structure. akta.pro says it covers 20M+ global companies, includes 70+ data points per company, monitors 30K+ sub-sectors, and filters roughly 80% of irrelevant news noise. Product Hunt launch material adds claims around 100+ event signal types, private-market use cases, and consumption-based access. For builders, the key value is not just more data. It is data that is already resolved to companies and shaped for downstream workflows. Typical use cases include deal sourcing, due diligence, company monitoring, outbound list building, credit risk, sales intelligence, recruiting research, and portfolio tracking. An agent can monitor a company, sector, or topic, then trigger workflows when funding rounds, leadership changes, expansion, hiring signals, or other events appear. That is cleaner than asking a general web search API to retrieve pages and then paying a model to read noisy results. Pricing is described as pay-as-you-go, with subscription and enterprise options available. The Product Hunt launch included 50 free credits with code PH50, while the official site points users to a playground signup and engineer conversations. Teams should verify current credit terms before building a production agent around them. The site also claims benchmark work across 71,408 news articles and 133 companies, with akta.pro ranking high on F1 score, accuracy, and cost per accurate article in its own comparison. Use akta.pro when your agent needs private-company data, firmographics, funding history, industry signals, or event monitoring with source-traceable payloads. It is less relevant for general consumer search or simple website scraping. The most important evaluation step is testing coverage on the sectors you care about, then setting spend controls around high-volume monitoring jobs. If the data matches your market, akta.pro can replace a lot of brittle scraping and manual enrichment in agent workflows. For evaluation, start with a small workflow and check the official docs, setup path, and pricing page before connecting production data. Confirm which model accounts, API keys, hosting resources, and permissions the tool needs. Then test one realistic task end to end: setup, first run, error handling, output review, and cleanup. This keeps the decision grounded in your own environment instead of launch-page claims. It also helps teams decide whether the tool belongs in a prototype, an internal workflow, or a customer-facing agent stack.