The cross-platform layer for prediction markets

The same event, priced on
every platform we cover.

One market on Polymarket, another worded differently on Manifold. We match them to the same real-world event and flip the polarity, so YES means the same thing on both.

Built on the Polymarket on-chain tick history: 404M fills since 2023, normalized into candles you can join. CSV, Parquet, API.

404.5M
on-chain fills
~1,800
cross-platform links
4
platforms
2023
history from
SAME EVENT · TWO VENUES · DAILYFROM OUR DATABASE
Will Donald Trump win the 2024 US Presidential Election?
Polymarket (real $)
Manifold (play $)

The same real-world event, priced on two platforms and aligned to one canonical YES — something no public API gives you. Both converge to the outcome (Trump won); they diverge in the informative middle.

404M+on-chain fills
~1,800cross-platform links
3.0Mmarkets
Download sample · no signup
Why ImpliedData

Plenty of vendors sell Polymarket history.

None of them tell you that a market on Polymarket and a differently-worded one on Manifold are the same event, let alone align them so YES means the same thing on both. That join is what we built.

01

One event, every platform

~1,800 same-event links across ~1,360 events, matched by embeddings and then reviewed one by one. Where a market is worded backwards, the polarity is flipped for you. There is no public API that returns this.

02

On-chain tick history

404M Polymarket fills, reconstructed from on-chain OrderFilled events since 2023. Sanity-checked against outcomes we already know: the 2024 Trump market settles to 0.998.

03

Research-grade and joinable

YES-normalized candles from 1m to 1d, one schema across platforms, CSV / Parquet / API.

Data Coverage
PlatformCoverageResolutionFormatUpdate frequency
Polymarket2023 – present1m, 5m, 15m, 1h, 1dParquet, CSVDaily
Manifold2023 – present1m, 5m, 15m, 1h, 1dParquet, CSVDaily
Myriad2025 – present1m, 5m, 15m, 1h, 1dParquet, CSVDaily
One API, every platform

OHLCV candles in one request.

Same schema across Polymarket, Manifold, and Myriad. Market metadata, candles at five resolutions, bulk Parquet/CSV export. Get a free API key and pull data in under a minute.

Full API reference →
import requests
import pandas as pd

r = requests.get(
    "https://api.implieddata.com/v1/candles",
    headers={"Authorization": "Bearer idk_live_YOUR_KEY"},
    params={
        "platform": "polymarket",
        "resolution": "1h",
        "start": "2026-05-01",
        "end": "2026-06-01",
    },
)

df = pd.DataFrame(r.json()["data"])
Sample Data

Trump wins 2024 US Presidential Election

market_id: us-pres-2024-trump  ·  resolved: YES  ·  resolution: 1d  ·  2 platforms

timestamp (UTC)platformmarket_idopenhighlowclosevolume (USD)trade_count
2024-11-06 00:00POLYMARKETtrump-wins-20240.6620.9840.6510.9782,412,30014,231
2024-11-05 00:00POLYMARKETtrump-wins-20240.6010.6890.5980.6628,103,10031,847
2024-11-01 00:00POLYMARKETtrump-wins-20240.5580.6120.5510.6003,241,8009,403
2024-10-15 00:00POLYMARKETtrump-wins-20240.5410.5590.5380.5521,891,2007,112
2024-10-15 00:00MANIFOLDtrump-win-20240.5180.5340.5140.53046,200312
2024-09-15 00:00POLYMARKETtrump-wins-20240.5030.5070.4900.4981,104,5004,821
2024-08-15 00:00MANIFOLDtrump-win-20240.5100.5160.5050.51238,400248
2024-08-01 00:00POLYMARKETtrump-wins-20240.5690.5720.5200.523924,1006,044
Free Sample Dataset on HuggingFace
~210K rows · Polymarket & Manifold · 1h OHLCV · Parquet
View on HuggingFace →
Download Sample CSV
1h candles · platform, market_id, timestamp, open, high, low, close, volume, trade_count
Access

No prices.

ImpliedData is a non-commercial portfolio project. Nothing on this site is for sale: there are no plans, no subscriptions, no checkout and no payments of any kind. Data access is free for anyone with an account.

PlatformsPolymarket, Manifold, Myriad
History2020 – present
Candle resolutions1m, 5m, 15m, 1h, 1d
Multi-outcome candlesIncluded
FormatsParquet, CSV
API accessIncluded
CostNone — nothing is sold here

Export volume is subject to fair-use limits. These are not a plan and cannot be bought: the venues whose data is republished here permit research use, not wholesale mirroring. Venues whose terms forbid redistribution are excluded entirely.