Ogochukwu Ozor

I build tools that turn raw prediction-market data into lists you can act on. No dashboards to learn: run the Actor, get a clean table, export to CSV, JSON or Excel, or plug it into your own bot through the Apify API.

Polymarket pays makers a daily reward for keeping orders near the midpoint. The pot for each market is shared by whoever is quoting, so an empty pool pays one maker the whole amount.

The scanner checks all ~12,000 reward pools in about a minute and returns, for each one:

• daily reward, reward band and minimum order size
• midpoint, best bid and ask, and book width
• Polymarket's competition score and an order-book check
• whether anyone is competing right now
• a ready Buy YES / Buy NO quote with its cost and estimated daily reward

Filter by minimum reward, uncontested only, book width, price range and hours left. Sort by reward per dollar, total reward or least competition.

Pricing: $0.005 per pool returned. A 200-pool run costs about $1, and you can cap the spend per run.

• Public data only, from official endpoints
• Every output field is documented, with a sample result
• Limits are stated plainly: estimates are snapshots, and fills can lose money

Open an issue on the Actor's Issues tab. I read every one, and feature requests shape what I build next.