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Polymarket Liquidity Rewards & Book Depth

Polymarket markets that pay liquidity rewards, joined with the live order book: reward pool, qualifying depth and estimated payout per market.

It lists the Polymarket markets that pay liquidity rewards and joins each one with its live order book. For every market you get the daily reward pool, the reward band and minimum order size, the capital already resting inside the band on the bid and ask side, the reward score of that book, and an estimate of what a quote of your own size would earn. It is built for market makers, quant traders and bot builders who want to know where a dollar of liquidity earns the most, without opening hundreds of market pages.

What can you use the Polymarket reward screener for?

• Finding under-quoted reward markets. Sort by estimated daily yield to see the markets where the published reward is large compared with the capital already competing for it.
• Sizing a quote before you post it. Set your capital and your distance from the midpoint, and read the estimated share, the daily dollars and the daily yield per market. The row also tells you the minimum capital that qualifies.
• Crowding checks. Cap the qualifying depth to skip markets where thousands of dollars of resting liquidity already share the same pool.
• Daily monitoring. Schedule the Actor and feed a spreadsheet, a dashboard or a trading script with the best reward markets of the day.
• Topic screens. Filter by words in the question, for example Fed, Senate or Bitcoin, to look only at the events you already trade.

How to screen Polymarket liquidity rewards

1. Set Minimum daily reward to the smallest pool worth your attention. The default is 100 dollars per day, which keeps the scan to the markets with a meaningful reward.
2. Optionally add Search terms, a minimum 24h volume and a maximum qualifying depth.
3. Enter the Quote capital you would commit to a two-sided quote and the Quote distance from the midpoint in cents.
4. Choose how to sort and how many markets to return, then run.

Reward band, minimum size and qualifying depth

Polymarket pays rewards for resting orders that sit close to the midpoint. Each market publishes a band in cents (rewardMaxSpreadCents) and a minimum order size in shares (rewardMinSizeShares). The Actor reads the order book of every market that passes your filters and counts the bid and ask price levels that are strictly inside the band and whose size is at least the minimum. A level that sits exactly on the edge of the band scores zero under the documented formula, so it is not counted in any of the qualifying fields or in the scores. qualifyingBidUsd and qualifyingAskUsd are the capital behind those levels, qualifyingDepthUsd is both sides together, and rewardPerDayPer1000QualifyingUsd divides the daily pool by that capital. The order book is aggregated per price level, so a level of 500 shares can be one order or ten orders of 50 shares, and only the first qualifies against a minimum of 200. Because of that, the qualifying shares, capital, depth and scores are upper bounds on what really competes for the pool, and the level counts are counts of price levels, not of orders.

Reward score and estimated payout

The score of an order follows the formula Polymarket documents for liquidity rewards: ((band - distance) / band) squared, times the order size. rewardScoreBid and rewardScoreAsk are the sums for each side. rewardScorePool combines them the way the documentation combines the two sides of one maker: the smaller side, or one third of the larger side when that is more and the midpoint is between 0.10 and 0.90.

The estimate adds a two-sided quote of your capital at your distance and computes your share as your score divided by your score plus the score of the book. This is an approximation: the visible book is treated as a single competitor, while Polymarket scores every maker separately and samples the book over time. Read the estimate as a ranking aid that compares markets with each other, not as a forecast of income. When no visible order scores inside the band (no level strictly inside it that meets the minimum size, or only levels on its edge), rewardPoolEmpty is true and the estimate fields are null instead of a share of 100 percent, because there is no competitor to measure against and the midpoint of such a market depends on the next orders placed. Those markets are listed after all others. When your quote capital buys less than the minimum order size, or your distance is at or beyond the edge of the reward band, quoteQualifies is false, the estimate fields are null, and the run status counts those markets; minQuoteCapitalUsd shows the capital that would qualify.

Output fields

Each row contains the identifiers (conditionId, marketId, slug, eventSlug, the two token IDs) and the question with a link, the market data (endDate, volume24hUsd, priceChange1d), the published reward terms (rewardDailyUsd, rewardMaxSpreadCents, rewardMinSizeShares, rewardStartDate), the book (bestBid, bestAsk, midpoint, spreadCents), the qualifying depth (shares, capital and number of price levels per side, plus qualifyingDepthUsd, all upper bounds), the scores (rewardScoreBid, rewardScoreAsk, rewardScorePool), rewardPoolEmpty, rewardPerDayPer1000QualifyingUsd, and the estimate for your quote (minQuoteCapitalUsd, quoteQualifies, estimatedSharePct, estimatedDailyRewardUsd, estimatedDailyYieldPct). A run that matches nothing returns one status row with found set to false.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "found": true,
  "conditionId": "0x12aa13b3da17ceae1b0a59b5d5b77121e91bb79b4bb0b52bf6543ed3f8d0953b",
  "marketId": "2589813",
  "question": "Will the Fed increase interest rates by 25 bps after the October 2026 meeting?",
  "slug": "will-the-fed-increase-interest-rates-by-25-bps-after-the-october-2026-meeting-20260617190324032",
  "eventSlug": "fed-decision-in-october-20260617190323537",
  "sourceUrl": "https://polymarket.com/event/fed-decision-in-october-20260617190323537/will-the-fed-increase-interest-rates-by-25-bps-after-the-october-2026-meeting-20260617190324032",
  "firstOutcome": "Yes",
  "secondOutcome": "No",
  "firstTokenId": "55159722761418013044126414276680602270318000841690689684819994448621694923050",
  "secondTokenId": "78632395083310670734315205502061249602319069653915932320155846460019107676757",
  "endDate": "2026-10-29T03:59:00.000Z",
  "volume24hUsd": 791285.96,
  "priceChange1d": -0.06,
  "rewardDailyUsd": 1000,
  "rewardMaxSpreadCents": 2.5,
  "rewardMinSizeShares": 200,
  "rewardStartDate": "2026-09-17",
  "bestBid": 0.35,
  "bestAsk": 0.36,
  "midpoint": 0.355,
  "spreadCents": 1,
  "qualifyingBidShares": 191549.72,
  "qualifyingAskShares": 93603.89,
  "qualifyingBidUsd": 65640.07,
  "qualifyingAskUsd": 58527.6,
  "qualifyingBidLevels": 3,
  "qualifyingAskLevels": 3,
  "qualifyingDepthUsd": 124167.67,
  "rewardScoreBid": 56769.99,
  "rewardScoreAsk": 10936.8,
  "rewardScorePool": 18923.33,
  "rewardPoolEmpty": false,
  "rewardPerDayPer1000QualifyingUsd": 8.05,
  "minQuoteCapitalUsd": 196,
  "quoteSizeUsd": 1000,
  "quoteQualifies": true,
  "estimatedSharePct": 1.9,
  "estimatedDailyRewardUsd": 19.04,
  "estimatedDailyYieldPct": 1.904,
  "scrapedAt": "2026-10-01T09:27:52.510Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~polymarket-reward-yield-screener/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"minDailyRewardUsd":50,"maxItems":50}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/polymarket-reward-yield-screener').call({
  "minDailyRewardUsd": 50,
  "maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/polymarket-reward-yield-screener").call(run_input={
  "minDailyRewardUsd": 50,
  "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

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