OneSource Deepstate Maker Analytics is a paid API for AI agents from api.onesource.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns per-maker time-at-top-of-book, notional rested, fill counts, fill rate, and DEEP rewards earned for a specified Deepstate market book.
Deepstate, the on-chain order-book exchange on Robinhood Chain. Per-maker time-at-top, notional rested, fills, and DEEP rewards earned for a market.
Returns a JSON object containing the book ID, slug, label, finality status, current block number, rewards availability flag, size token metadata, and an array of per-maker rows. Each row includes maker address, fill rate (decimal), fill count, order count, denominated order count, raw DEEP rewards earned (string bigint), raw notional rested (string bigint), time at top of ask in seconds, and time at top of bid in seconds. The response is scoped to the requested time window (from/to) and limited by the requested row count.
GEThttps://api.onesource.io/deepstate/v1/analytics/makersUse this endpoint when you need granular, per-maker analytics for a Deepstate on-chain order book — specifically time-at-top-of-book, fill statistics, and DEEP token rewards. It is the right choice when analyzing market maker performance, computing reward distributions, or auditing liquidity provision quality on Deepstate markets. Prefer this over generic DEX analytics when you need maker-level decomposition rather than aggregate market statistics.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"to": "2026-09-02T16:00:00Z",
"from": "2026-09-01T16:00:00Z",
"rows": [
{
"maker": "0x6cf19308C22FC82ea620Fa0B3E94948d20f27B96",
"fill_rate": 0.86,
"fill_count": 194,
"order_count": 12,
"deep_earned_raw": "1811294000000000000000",
"notional_rested_raw": "82441000000",
"denominated_order_count": 12,
"time_at_top_ask_seconds": 6120,
"time_at_top_bid_seconds": 41820
}
],
"book_id": "0xdf941c235503a5d2e67aee5dea00f2965f99421c0d034bd77f924c05c66bf399",
"finality": "safe",
"book_slug": "NVDA-USDG",
"book_label": "NVDA/USDG",
"size_token": {
"symbol": "USDG",
"address": "0x5fc5360D0400a0Fd4f2af552ADD042D716F1d168",
"decimals": 6
},
"as_of_block": 52685009,
"rewards_available": true
}
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