# Accelerometer AI-Progress & Technology Time Series — Dated Snapshot

> 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.

## Facts

- Endpoint: GET https://x402-accelerometer-feed.fly.dev/snapshots/%7Bid%7D
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/accelerometer-ai-progress-technology-time-series-dated-snapshot-ee6d85d9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zWaOMMMSVynd0zZAzDnMx

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability accelerometer-ai-progress-technology-time-series-dated-snapshot-ee6d85d9
```

Example prompt: Pull the Accelerometer AI-progress snapshot for July 12, 2026 — I want all 129 series with their latest values, previous values, and percent changes.

## When to prefer this

Choose 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.

## Known failure modes

- Invalid or non-existent snapshot ID returns 404 or empty result
- Payment failure (insufficient USDC, wrong chain) returns 402 with payment details
- Snapshot date requested before data collection started returns no data
- Malformed date string in ID parameter causes request failure
- Temporary service unavailability on fly.dev returns 5xx

## How this service works

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.

## Output

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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/accelerometer-ai-progress-technology-time-series-dated-snapshot-ee6d85d9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-accelerometer-feed.fly.dev](https://www.zero.xyz/host/x402-accelerometer-feed.fly.dev/llms.txt)