
Market & Pricing APIs
Acceso’s Polymarket integration exposes normalized prediction-market reads.
Use it for:
discovery (find markets)
monitoring (price / probability changes)
analytics (historical series, model inputs)
It is not designed for trade execution.
API conventions
These routes are read-oriented. They are designed for analytics, monitoring, and automation.
Auth:
Authorization: Bearer $ACCESO_API_KEYBase URL:
https://<YOUR_ACCESO_API_HOST>Response envelope: stable
success/data/meta
{
"success": true,
"data": {},
"meta": {
"request_id": "req_1c2d3e",
"timestamp": 1765939200
}
}Normalization: timestamps are epoch seconds. IDs are opaque strings.
Pagination (when available):
limit,cursor(opaque),direction=asc|desc(route-dependent)Freshness: sources can be eventually consistent. “Latest” routes may be briefly cached.
Market objects
Markets are normalized into stable, analytics-friendly objects.
What you typically get
market_idtitleanddescriptioncategory/tags(when available)status(normalized lifecycle state)outcomes[](each withoutcome_id,label)created_at,open_at,close_at(when known)resolution_criteria(human-readable text)
Market discovery
Common operations:
list markets (paginated)
fetch a single market by id
search / filter by category, status, or text
Representative routes
Route naming can vary by deployment. Typical patterns:
GET /v1/polymarket/marketsGET /v1/polymarket/markets/<MARKET_ID>
Common query knobs:
q(free-text search)statuscategorylimit,cursor
Pricing and probability
Pricing endpoints expose outcome-level prices and implied probabilities.
What you typically get
market_idas_of(timestamp for the snapshot)outcomes[]with:outcome_idprice(decimal)probability(0–1, when exposed)best_bid/best_ask(when orderbook is available)
Representative routes
Typical patterns:
GET /v1/polymarket/markets/<MARKET_ID>/pricesGET /v1/polymarket/markets/<MARKET_ID>/candles?interval=1m&start=<TS>&end=<TS>
“Probability” can be derived from market prices. The derivation depends on venue mechanics. Treat these values as best-effort signals, not ground truth.
Historical series
Historical endpoints are designed for replayable analytics.
Common outputs:
candle series (OHLCV-like)
sampled snapshots at fixed intervals
Typical knobs:
start,end(epoch seconds)interval(1m,5m,1h,1d— deployment-dependent)
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