A specific dated snapshot (YYYY-MM-DD, ids listed free at /) of the 129-series AI-progress
A specific dated snapshot (YYYY-MM-DD, ids listed free at /) of the 129-series AI-progress and technology pull: frontier benchmark scores, compute trends, AGI prediction-market odds, model pricing, AI stocks, energy, space, robotics, research output. Same per-source shape as /feed (latest, previous, % change, source URL). Use it to compare dates yourself, or call /delta to get the comparison computed. No composite score. Unknown id -> 404.
5000 (raw units)
price
5
calls / 30d
1
unique payers
2026-09-16
updated
Provider
x402-accelerometer-feed.fly.dev · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0xbC3A8eAc0601F717E803935cABEDeE8EDB7713C4",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "5000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"method": "GET",
"pathParams": {
"id": ":id"
},
"queryParams": {},
"type": "http"
},
"output": {
"example": {
"composite": null,
"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.",
"domains": [
"agents",
"autonomy",
"benchmarks",
"biomed",
"capital",
"compute",
"crypto",
"ecosystem",
"energy",
"industrial",
"inference",
"macro",
"markets",
"narrative",
"patents",
"prediction",
"pricing",
"research",
"robotics",
"science",
"space"
],
"emitted_at": "2026-09-16T11:54:41+00:00",
"n_sources": 129,
"n_sources_ok": 126,
"run_at": "2026-07-12T14:00:05.754191+00:00",
"schema_version": "0.2",
"snapshot_id": "2026-07-12",
"sources": [
{
"access": "free_api",
"cadence": "weekly survey, accumulating",
"confidence": "verified",
"delta_pct_vs_previous": 16.6557,
"domain": "agents",
"first_date": "2026-04-21",
"id": "agents.x402_services_count",
"latest": 1779,
"latest_date": "2026-07-12",
"metric": "x402 pay-per-request services (agentic.market)",
"n_points": 8,
"previous": 1525,
"previous_date": "2026-07-05",
"signal_quality": "strong",
"unit": "count",
"url": "https://agentic.market"
},
{
"access": "dataset_download",
"cadence": "updated as METR re-fits new models",
"confidence": "verified",
"delta_pct_vs_previous": 106.9667,
"domain": "autonomy",
"first_date": "2019-02-14",
"id": "autonomy.metr_time_horizon_50",
"latest": 112.230447,
"latest_date": "2025-04-16",
"metric": "METR frontier task-completion horizon @50% (minutes)",
"n_points": 15,
"previous": 54.226342,
"previous_date": "2025-02-24",
"signal_quality": "strong",
"unit": "minutes",
"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/)"
}
],
"stub": false
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"type": "json"
}
},
"routeTemplate": "/snapshots/:id",
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"pathParams": {
"properties": {
"id": {
"description": "snapshot date YYYY-MM-DD, from GET /",
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"queryParams": {
"properties": {},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"composite": {
"description": "no cross-source composite is offered",
"type": "null"
},
"domains": {
"items": {
"type": "string"
},
"type": "array"
},
"n_sources": {
"type": "integer"
},
"run_at": {
"description": "ISO timestamp the pull ran",
"type": "string"
},
"schema_version": {
"type": "string"
},
"snapshot_id": {
"description": "YYYY-MM-DD of the pull",
"type": "string"
},
"sources": {
"items": {
"properties": {
"access": {
"type": [
"string",
"null"
]
},
"cadence": {
"type": [
"string",
"null"
]
},
"confidence": {
"type": "string"
},
"delta_pct_vs_previous": {
"type": [
"number",
"null"
]
},
"domain": {
"type": "string"
},
"first_date": {
"type": "string"
},
"id": {
"description": "registry key, e.g. epoch.training_flop_max",
"type": "string"
},
"latest": {
"type": "number"
},
"latest_date": {
"type": "string"
},
"metric": {
"type": "string"
},
"n_points": {
"type": "integer"
},
"previous": {
"type": [
"number",
"null"
]
},
"previous_date": {
"type": [
"string",
"null"
]
},
"signal_quality": {
"description": "strong | moderate | weak | noisy",
"type": "string"
},
"unit": {
"type": "string"
},
"url": {
"type": [
"string",
"null"
]
}
},
"required": [
"id",
"metric",
"domain",
"unit",
"latest",
"latest_date"
],
"type": "object"
},
"type": "array"
},
"stub": {
"type": "boolean"
}
},
"required": [
"schema_version",
"snapshot_id",
"run_at",
"n_sources",
"sources"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://x402-accelerometer-feed.fly.dev/snapshots/:id" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://x402-accelerometer-feed.fly.dev/snapshots/:id");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://x402-accelerometer-feed.fly.dev/snapshots/:id")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/12315.json, and this resource appears in /discovery/resources and /discovery/search.