Saylor Innovations Data Desk
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DataLiveeip155:8453Exactvia cdp
Global temperature anomaly this Warmest years on recordGistemp annual anomalyHow much has the earth warmedMonthly global temperature anoma
Calls · 30d
2
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 14 snapshots so far.
$15.76
Verified settled volume
1,657 settlements proven x402 by their on-chain EIP-3009 marker.
$0.010
Listed price
As published in the catalog. Always read the live 402 before paying.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
2
Unique payers · 30d
Last called 2026-10-17 09:54Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aaThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "Payment required to access this resource.",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"memo": "saylor:datadesk:giss-temperature",
"name": "USD Coin",
"note": "Base settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
"version": "2",
"facilitatorOnly": true,
"assetTransferMethod": "eip3009"
},
"payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"memo": "saylor:datadesk:giss-temperature",
"session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpnaXNzLXRlbXBlcmF0dXJlLWFub21hbHkiLCJyZWZlcmVuY2UiOiIyZ0hRemh6UDFTeHNiTjJYRW5tcDdMaTFvREdjbU54YlNWdG1kYTR6eXdtNCIsInJlY2lwaWVudCI6IjdMU2pmckpmOGZOc0I4VkE5dTdOM1dFbjI1c21RTHBvYjNTdnlVdlhhY3k3IiwibWludCI6IkVQakZXZGQ1QXVmcVNTcWVNMnFOMXh6eWJhcEM4RzR3RUdHa1p3eVREdDF2IiwibWluQW1vdW50IjoxMDAwMCwiZXhwIjoxNzkyMTc4MjU3ODYyfQ.gNlqhZO7p2xzfmhtfvN_vWeutpFzct1Yhl27QMVpLBA",
"feePayer": "BFK9TLC3edb13K6v4YyH3DwPb5DSUpkWvb7XnqCL9b4F",
"reference": "2gHQzhzP1SxsbN2XEnmp7Li1oDGcmNxbSVtmda4zywm4"
},
"payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
"amount": "10000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 120
}
],
"resource": {
"url": "https://saylorinnovations.com/api/climate/temperature-anomaly?years=10",
"tags": [
"global temperature anomaly this ",
"warmest years on record",
"gistemp annual anomaly",
"how much has the earth warmed",
"monthly global temperature anoma"
],
"iconUrl": "https://saylorinnovations.com/og-image.jpg",
"mimeType": "application/json",
"description": "NASA GISTEMP global temperature anomaly versus the 1951-1980 baseline - recent annual values, this year's months and the five warmest years",
"serviceName": "Saylor Innovations Data Desk"
},
"extensions": {
"tags": [
"global temperature anomaly this year",
"warmest years on record",
"gistemp annual anomaly",
"how much has the earth warmed",
"monthly global temperature anomaly",
"nasa climate temperature series"
],
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"years": "10"
}
},
"output": {
"type": "json",
"example": {
"note": "Land-ocean global mean temperature anomaly in degrees C relative to the 1951-1980 average.",
"source": "NASA GISS GISTEMP v4",
"baseline": "1951-1980 mean",
"recent_annual": [
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2017,
"anomaly_c": 0.91
},
{
"year": 2018,
"anomaly_c": 0.85
},
{
"year": 2019,
"anomaly_c": 0.98
},
{
"year": 2020,
"anomaly_c": 1.01
},
{
"year": 2021,
"anomaly_c": 0.85
},
{
"year": 2022,
"anomaly_c": 0.89
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
}
],
"latest_year_to_date": {
"year": 2026,
"months": [
{
"month": "Jan",
"anomaly_c": 1.08
},
{
"month": "Feb",
"anomaly_c": 1.23
},
{
"month": "Mar",
"anomaly_c": 1.3
},
{
"month": "Apr",
"anomaly_c": 1.16
},
{
"month": "May",
"anomaly_c": 1.13
},
{
"month": "Jun",
"anomaly_c": 1.17
},
{
"month": "Jul",
"anomaly_c": 1.24
},
{
"month": "Aug",
"anomaly_c": 1.42
},
{
"month": "Sep",
"anomaly_c": 1.38
}
]
},
"warmest_years_on_record": [
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2020,
"anomaly_c": 1.01
}
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"POST",
"PUT",
"PATCH",
"DELETE",
"HEAD"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"years": {
"type": "string",
"description": "optional 1-60 recent annual values, default 10"
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string",
"const": "json"
},
"example": {
"type": "object",
"required": [
"recent_annual"
],
"properties": {
"note": {
"type": "string",
"description": "Caveat or context for reading the result"
},
"source": {
"type": "string",
"description": "Data source the values come from"
},
"baseline": {
"type": "string"
},
"recent_annual": {
"type": "array",
"description": "Recent annual"
},
"latest_year_to_date": {
"type": "object",
"description": "Latest year to date"
},
"warmest_years_on_record": {
"type": "array",
"description": "Warmest years on record"
}
}
}
}
}
}
}
},
"method": "GET",
"example": {
"note": "Land-ocean global mean temperature anomaly in degrees C relative to the 1951-1980 average.",
"source": "NASA GISS GISTEMP v4",
"baseline": "1951-1980 mean",
"recent_annual": [
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2017,
"anomaly_c": 0.91
},
{
"year": 2018,
"anomaly_c": 0.85
},
{
"year": 2019,
"anomaly_c": 0.98
},
{
"year": 2020,
"anomaly_c": 1.01
},
{
"year": 2021,
"anomaly_c": 0.85
},
{
"year": 2022,
"anomaly_c": 0.89
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
}
],
"latest_year_to_date": {
"year": 2026,
"months": [
{
"month": "Jan",
"anomaly_c": 1.08
},
{
"month": "Feb",
"anomaly_c": 1.23
},
{
"month": "Mar",
"anomaly_c": 1.3
},
{
"month": "Apr",
"anomaly_c": 1.16
},
{
"month": "May",
"anomaly_c": 1.13
},
{
"month": "Jun",
"anomaly_c": 1.17
},
{
"month": "Jul",
"anomaly_c": 1.24
},
{
"month": "Aug",
"anomaly_c": 1.42
},
{
"month": "Sep",
"anomaly_c": 1.38
}
]
},
"warmest_years_on_record": [
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2020,
"anomaly_c": 1.01
}
]
},
"license": "LicenseRef-Saylor-Agent-Use-1.0",
"mimeType": "application/json",
"freshness": "fetched live (cached up to 1 hour for large reference files)",
"tokenCount": null,
"inputSchema": {
"years": "optional 1-60 recent annual values, default 10"
},
"serviceName": "Saylor Innovations Data Desk",
"instructions": "STANDARD PATH (works with stock x402 clients): send payload.transaction — a base64 partially-signed Solana transaction — and we route verify/settle through an x402 facilitator that sponsors the fee and submits it. Include the chosen accepts entry as \"accepted\" so we can match terms. ALTERNATIVE PATH (no facilitator): Pick ONE entry from accepts and use the reference and session from THAT entry — each asset has its own. USDC or USDT: send an SPL transfer of the exact amount. Native SOL (asset=So11111111111111111111111111111111111111112, extra.native=true): send that many lamports with a system transfer. Either way include extra.reference as a read-only account (Solana Pay style), then retry with PAYMENT-SIGNATURE: base64({x402Version:2, payload:{session, reference}}). If your client cannot attach a reference, send payload.signature instead (USDC only). SOL amounts are quoted live and expire in 120s; stablecoins do not move. The facilitator path verifies and settles in this request. Only the alternative self-submitted Solana path needs retries while the transfer is indexed (typically 3-4 attempts over 10-20s). On that path, a 402 saying \"payment not found on-chain yet\" means keep retrying.",
"outputSchema": {
"type": "object",
"required": [
"recent_annual"
],
"properties": {
"note": {
"type": "string"
},
"source": {
"type": "string"
},
"baseline": {
"type": "string"
},
"recent_annual": {
"type": "array"
},
"latest_year_to_date": {
"type": "object"
},
"warmest_years_on_record": {
"type": "array"
}
}
},
"noPathTemplate": true,
"settlementModes": [
"facilitator-transaction",
"self-submitted-reference"
],
"typicalLatencyMs": 700
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.01USDC≈ $0.01 USD
on Base · exact scheme
Pay 0.01 USDC on Base to 0xA2A8…fc8aa. The signed payment is good for 2 minutes.
- Paid to
- 0xA2A8…fc8aa
- USD Coin contract
- 0x8335…02913
- Payment window
- 2 minutes
- As published
- 10000 smallest units
10000units
on solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · exact scheme
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 7LSjfr…Xacy7
- Token contract
- EPjFWd…TDt1v
- Payment window
- 2 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"memo": "saylor:datadesk:giss-temperature",
"name": "USD Coin",
"note": "Base settles through an x402 facilitator. Send payload.signature and payload.authorization (EIP-3009); there is no self-submitted path on this network.",
"version": "2",
"facilitatorOnly": true,
"assetTransferMethod": "eip3009"
},
"payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"memo": "saylor:datadesk:giss-temperature",
"session": "eyJhcnRpY2xlSWQiOiJkYXRhZGVzazpnaXNzLXRlbXBlcmF0dXJlLWFub21hbHkiLCJyZWZlcmVuY2UiOiI2eEE5aHFXRUpKZE00OFlNcGlHUDNVMWk5ZEtIb2FYZFB6QlhDSHV2MW5zSiIsInJlY2lwaWVudCI6IjdMU2pmckpmOGZOc0I4VkE5dTdOM1dFbjI1c21RTHBvYjNTdnlVdlhhY3k3IiwibWludCI6IkVQakZXZGQ1QXVmcVNTcWVNMnFOMXh6eWJhcEM4RzR3RUdHa1p3eVREdDF2IiwibWluQW1vdW50IjoxMDAwMCwiZXhwIjoxNzkyMjMwOTkwMTA4fQ.hliU2qZrZDQubMxwQJxYdHfZ9SI1-_sE5ayzscMNvv4",
"feePayer": "GVJJ7rdGiXr5xaYbRwRbjfaJL7fmwRygFi1H6aGqDveb",
"reference": "6xA9hqWEJJdM48YMpiGP3U1i9dKHoaXdPzBXCHuv1nsJ"
},
"payTo": "7LSjfrJf8fNsB8VA9u7N3WEn25smQLpob3SvyUvXacy7",
"amount": "10000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 120
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"years": "10"
}
},
"output": {
"type": "json",
"example": {
"note": "Land-ocean global mean temperature anomaly in degrees C relative to the 1951-1980 average.",
"source": "NASA GISS GISTEMP v4",
"baseline": "1951-1980 mean",
"recent_annual": [
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2017,
"anomaly_c": 0.91
},
{
"year": 2018,
"anomaly_c": 0.85
},
{
"year": 2019,
"anomaly_c": 0.98
},
{
"year": 2020,
"anomaly_c": 1.01
},
{
"year": 2021,
"anomaly_c": 0.85
},
{
"year": 2022,
"anomaly_c": 0.89
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
}
],
"latest_year_to_date": {
"year": 2026,
"months": [
{
"month": "Jan",
"anomaly_c": 1.08
},
{
"month": "Feb",
"anomaly_c": 1.23
},
{
"month": "Mar",
"anomaly_c": 1.3
},
{
"month": "Apr",
"anomaly_c": 1.16
},
{
"month": "May",
"anomaly_c": 1.13
},
{
"month": "Jun",
"anomaly_c": 1.17
},
{
"month": "Jul",
"anomaly_c": 1.24
},
{
"month": "Aug",
"anomaly_c": 1.42
},
{
"month": "Sep",
"anomaly_c": 1.38
}
]
},
"warmest_years_on_record": [
{
"year": 2024,
"anomaly_c": 1.28
},
{
"year": 2025,
"anomaly_c": 1.18
},
{
"year": 2023,
"anomaly_c": 1.17
},
{
"year": 2016,
"anomaly_c": 1.01
},
{
"year": 2020,
"anomaly_c": 1.01
}
]
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET",
"POST",
"PUT",
"PATCH",
"DELETE",
"HEAD"
],
"type": "string"
},
"queryParams": {
"type": "object",
"properties": {
"years": {
"type": "string",
"description": "optional 1-60 recent annual values, default 10"
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string",
"const": "json"
},
"example": {
"type": "object",
"required": [
"recent_annual"
],
"properties": {
"note": {
"type": "string",
"description": "Caveat or context for reading the result"
},
"source": {
"type": "string",
"description": "Data source the values come from"
},
"baseline": {
"type": "string"
},
"recent_annual": {
"type": "array",
"description": "Recent annual"
},
"latest_year_to_date": {
"type": "object",
"description": "Latest year to date"
},
"warmest_years_on_record": {
"type": "array",
"description": "Warmest years on record"
}
}
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-10-17 09:54Z
- Last indexed by Roundhouse
- 2026-10-26 15:10Z
- Last enriched (probe, favicon, geo)
- 2026-10-16 19:15Z
- x402 version
- 2
- Max timeout
- 120s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 14 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Saylor Innovations Data Desk and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Saylor%20Innovations%20Data%20Desk' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://saylorinnovations.com/api/climate/temperature-anomaly, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Either pay over x402 (mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.