Accelerometer AI-Progress & Technology Time Series — Dated Snapshot is a paid API for AI agents from x402-accelerometer-feed.fly.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-19).
Returns a full dated snapshot of 129 AI-progress and technology time series, each with its latest and previous observation and percent change, paid via x402/USDC on Base.
Timestamped per-source snapshots of 129 public AI-progress and technology time series (frontier benchmark scores, compute trends, AGI prediction-market odds, model pricing, AI stocks and crypto, energy, space, robotics, biomed, research output). No composite score. Paid with USDC on Base via x402.
A JSON object containing: snapshot_id (date), run_at timestamp, emitted_at timestamp, a list of all 129 source records each with id, metric name, domain, unit, latest value, previous value, previous date, latest date, delta_pct_vs_previous, confidence level, signal quality, cadence, n_points, access type, and URL. Also includes the list of domains covered, n_sources, n_sources_ok, composite (always null), composite_note, and schema_version.
GEThttps://x402-accelerometer-feed.fly.dev/snapshots/%7Bid%7DChoose this endpoint when you need a complete point-in-time cross-domain snapshot of all 129 AI-progress and technology series as of a specific historical date, rather than the latest snapshot or a diff between two dates. Ideal for retrospective analysis, date-anchored comparisons, or when you need the full breadth of domains (benchmarks, compute, prediction markets, pricing, stocks, energy, space, robotics, biomed, research) in one call for a specific YYYY-MM-DD snapshot ID.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"stub": false,
"run_at": "2026-07-12T14:00:05.754191+00:00",
"domains": [
"agents",
"autonomy",
"benchmarks",
"biomed",
"capital",
"compute",
"crypto",
"ecosystem",
"energy",
"industrial",
"inference",
"macro",
"markets",
"narrative",
"patents",
"prediction",
"pricing",
"research",
"robotics",
"science",
"space"
],
"sources": [
{
"id": "agents.x402_services_count",
"url": "https://agentic.market",
"unit": "count",
"access": "free_api",
"domain": "agents",
"latest": 1779,
"metric": "x402 pay-per-request services (agentic.market)",
"cadence": "weekly survey, accumulating",
"n_points": 8,
"previous": 1525,
"confidence": "verified",
"first_date": "2026-04-21",
"latest_date": "2026-07-12",
"previous_date": "2026-07-05",
"signal_quality": "strong",
"delta_pct_vs_previous": 16.6557
},
{
"id": "autonomy.metr_time_horizon_50",
"url": "https://github.com/METR/cross-domain-horizon (data/external/logistic_fits/headline.csv; METR 'Measuring AI Ability to Complete Long Tasks', metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/)",
"unit": "minutes",
"access": "dataset_download",
"domain": "autonomy",
"latest": 112.230447,
"metric": "METR frontier task-completion horizon @50% (minutes)",
"cadence": "updated as METR re-fits new models",
"n_points": 15,
"previous": 54.226342,
"confidence": "verified",
"first_date": "2019-02-14",
"latest_date": "2025-04-16",
"previous_date": "2025-02-24",
"signal_quality": "strong",
"delta_pct_vs_previous": 106.9667
}
],
"composite": null,
"n_sources": 129,
"emitted_at": "2026-09-16T11:54:41+00:00",
"snapshot_id": "2026-07-12",
"n_sources_ok": 126,
"composite_note": "No cross-source composite is offered. Each row is one source's latest observation as pulled at run_at, with its previous observation and the % change between them.",
"schema_version": "0.2"
}
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