# Accelerometer AI-Progress Feed — Latest Snapshot

> Accelerometer AI-Progress Feed — Latest 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 the latest timestamped snapshot of 129 AI-progress and technology time series, including frontier benchmark scores, compute trends, AGI prediction-market odds, model pricing, AI stocks, and more.

## Facts

- Endpoint: GET https://x402-accelerometer-feed.fly.dev/feed
- 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-feed-latest-snapshot-f28ce512
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JoBz63wsYiTqGOyLxru71

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-feed-latest-snapshot-f28ce512
```

Example prompt: Pull the latest Accelerometer snapshot so I can see where all 129 AI-progress series stand right now — benchmarks like GPQA and ARC-AGI, METR task horizon, Epoch compute trends, AGI prediction market odds, and model pricing.

## When to prefer this

Choose this endpoint when you need a broad, current overview of all 129 AI-progress and technology series in a single call. Prefer this over the diff or dated-snapshot endpoints when you want the absolute latest values rather than historical comparison. Ideal for dashboards, weekly briefings, or agent workflows that need to know the current state of AI progress across benchmarks, compute, markets, and autonomy metrics simultaneously.

## Known failure modes

- Payment failure (402) if x402 micropayment of $0.005 USDC is not supplied
- Feed generation timeout if upstream data sources are temporarily unavailable
- Partial data: n_sources_ok may be less than n_sources (129) if some sources failed to update
- Stale data if upstream series haven't been refreshed recently — check run_at and latest_date per source

## How this service works

Latest timestamped snapshot of 129 public AI-progress and technology time series: frontier benchmark scores (GPQA, HLE, ARC-AGI, METR task horizon), compute and training-run trends (Epoch), AGI prediction-market odds (Polymarket, Manifold, Kalshi), model pricing, AI stocks and crypto, energy, space, robotics, biomed, research output. Per source: latest and previous value with dates, % change, signal quality, source URL. No composite score. Free preview at /preview, menu at /.

## Output

A JSON object containing a timestamped snapshot with: run_at timestamp, snapshot_id (date), list of domain names, n_sources (129), n_sources_ok count, schema_version, and an array of source objects each containing id, metric name, domain, unit, latest value, previous value, latest_date, previous_date, delta_pct_vs_previous, confidence level, signal_quality, cadence description, access type, source URL, and n_points. No composite score is provided.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "stub": false,
  "run_at": "2026-09-16T12:25:28.530204+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": 2865,
    "metric": "x402 pay-per-request services (agentic.market)",
    "cadence": "weekly survey, accumulating",
    "n_points": 9,
    "previous": 1779,
    "confidence": "verified",
    "first_date": "2026-04-21",
    "latest_date": "2026-09-16",
    "previous_date": "2026-07-12",
    "signal_quality": "strong",
    "delta_pct_vs_previous": 61.0455
   },
   {
    "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": "2026-09-16T12:28:08+00:00",
  "snapshot_id": "2026-09-16",
  "n_sources_ok": 124,
  "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-feed-latest-snapshot-f28ce512/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)