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market2000.xyz Playbook — Time Series Pattern Matching API
x402
market2000.xyz Playbook — Time Series Pattern Matching API is a paid API for AI agents from market2000.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Finds historical analog periods for a given stock ticker and returns forward-looking return statistics for the ticker and its peers based on pattern matching.
Price / call$0.1
Success—
StatusUnknown
How this service works
An origin the crawlers already index. We count what AI agents try to buy, what they are refused, and what the AI companies take without sending anyone back. Sold per call in USDC.
Output
Returns a JSON object with the primary ticker, the query window dates, the number of historical analogs matched, the query window's own return percentage, a forward projection horizon in days, and a peer_playbook breakdown per peer ticker showing analog count, percent of positive outcomes, and average forward return percentage.
Example use cases
Portfolio rebalancing based on pattern history
“Check what happened historically when the S&P 500 looked like it does today over the last three months. Show me the forward returns for the index and major sector leaders like AAPL, MSFT, and XLV over the next 60 days based on similar patterns.”
Momentum rotation across semiconductor peers
“Find analogs for the recent rally in SOX over the past two months, then give me the playbook for how the major chip stocks like NVDA, AMD, and QCOM typically perform in the 45 days following a setup like this.”
Individual stock timing with peer validation
“Look at TSLA's price action from the start of this quarter through today and tell me what the historical base rates say about returns over the next 30 days. Also show me how peer EV stocks like RIVN and LUCID have done after matching similar patterns.”
Technical details
Endpoint
GEThttps://market2000.xyz/playbookWhen to prefer
Use this endpoint when you need quantitative, historically-grounded forward return expectations for a specific stock based on pattern similarity — especially when you want peer comparison alongside the primary ticker. Prefer this over generic sentiment or news-based analysis when the user wants a base-rate, data-driven view of what the market has done after similar price setups.
Side effects
- Invalid or unrecognized ticker symbol returns an error or empty analog set
- Query window too short to find meaningful analogs results in low analog count
- Payment failure via x402 on Base blocks the call entirely
- Future or malformed date range causes a validation error
- Peer tickers not found in the dataset return empty or partial peer_playbook entries
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"peers": [
"MSFT",
"AMD",
"QQQ"
],
"analogs_used": 8,
"forward_days": 30,
"query_window": {
"end": "2026-01-15",
"start": "2025-11-01"
},
"peer_playbook": {
"AMD": {
"count": 8,
"pct_positive": 75,
"avg_return_pct": 6.8
},
"QQQ": {
"count": 8,
"pct_positive": 62.5,
"avg_return_pct": 3.1
},
"MSFT": {
"count": 8,
"pct_positive": 62.5,
"avg_return_pct": 4.2
}
},
"primary_ticker": "NVDA",
"query_return_pct": 12.4
}
}Tags
x402
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