Invoket
The checks your agent runs before it acts: verify a bank account, a phone number, a law in force, the weather or a vehicle — computed from official sources, with provenance in every response. You only pay for answers.
InferenceLiveeip155:8453Exactvia cdp
ComplianceVerificationFraud-preventionRegulatory-dataWeather
Calls · 30d
3→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 29 snapshots so far.
$22.04
Verified settled volume
1,650 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.
3
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-09-10 00:36Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x4465825B0ac713aA2Fa07Ea29023020804A128eeThe 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-SIGNATURE header is required. Free trial on request: send the header `X-402-Trial: 1` on this call and on the signed retry to have a free-trial option added to accepts[].",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x4465825B0ac713aA2Fa07Ea29023020804A128ee",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
],
"resource": {
"url": "https://api.invoket.com/weather/forecast/daily",
"tags": [
"compliance",
"verification",
"fraud-prevention",
"regulatory-data",
"weather"
],
"iconUrl": "https://invoket.com/apple-touch-icon.png",
"mimeType": "application/json",
"description": "Before your agent plans a multi-day operation — logistics, construction, an event, crop work: a day-by-day forecast for any GPS point or city, with daily minimum and maximum 2 m temperature, total precipitation and peak 10 m wind per UTC calendar day, from today to the end of the NOAA GFS window (~16 days), extendable to 35 days on the NOAA GEFS ensemble mean — those extra days are an average of ~30 members, so their extremes are smoothed: trend, not threshold triggers. Each day names the model that served it and carries a coverage flag.",
"serviceName": "Invoket"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"schema": {
"type": "object",
"required": [],
"properties": {
"lat": {
"type": "string"
},
"lon": {
"type": "string"
},
"days": {
"type": "string",
"description": "Optional. Number of UTC calendar days to return, 1-35, starting today. Defaults to 16 — the deterministic GFS window; ask for more explicitly to reach the GEFS ensemble-mean tail, whose smoothed extremes answer trend questions rather than threshold triggers. Alternative to lat+lon: pass city=<name> (alias location=, optional country= ISO 3166 alpha-2) resolved via the embedded GeoNames gazetteer and echoed back as data.location."
}
}
},
"headers": {
"accept": "application/json"
},
"queryParams": {
"lat": "43.7031",
"lon": "7.2661",
"days": "3"
}
},
"output": {
"type": "json",
"schema": {
"type": "object",
"required": [
"data",
"provenance"
],
"properties": {
"data": {
"type": "object",
"required": [
"coverage",
"days",
"from",
"lat",
"lead",
"lon",
"to"
],
"properties": {
"to": {
"type": "string"
},
"lat": {
"type": "number"
},
"lon": {
"type": "number"
},
"days": {
"type": "array",
"items": {
"type": "object",
"required": [
"coverage",
"dataset",
"date",
"source",
"steps_used"
],
"properties": {
"date": {
"type": "string"
},
"source": {
"type": "string",
"description": "Human-readable label of the model that served this day: 'GFS' (deterministic 0.25 deg, <= 384 h); 'NOAA GEFS ensemble mean (35-day, 0.5 deg)' beyond, when that window is served — an ensemble-mean day averages ~30 members, so its extremes are smoothed (see data.days[].precipitation_sum_mm). Its wording is not part of the contract — branch on data.days[].dataset instead."
},
"dataset": {
"type": "string",
"description": "Stable machine identifier of the model that served this day: gfs or gefs. Makes the deterministic/ensemble boundary readable day by day without parsing the label in data.days[].source."
},
"coverage": {
"type": "object",
"required": [
"complete"
],
"properties": {
"reason": {
"type": "string"
},
"complete": {
"type": "boolean"
}
},
"description": "Per-day coverage: complete=false for partial days (day 0 from the cycle hour, the truncated last day of the window) or a grid cell with no data, values then null and never invented"
},
"steps_used": {
"type": "integer"
},
"temperature_max_c": {
"type": [
"number",
"null"
]
},
"temperature_min_c": {
"type": [
"number",
"null"
],
"description": "Daily minimum 2 m temperature (deg C), derived from the 3-hourly forecast steps (subsampled; native GRIB TMIN/TMAX fields are roadmap). Same for temperature_max_c. On days served by the GEFS ensemble mean (dataset=gefs, beyond ~16 days) both are averages over ~30 members and the daily range collapses towards the climatological average — measured at Paris on 2026-07-25, the max spanned 25.3-27.9 deg C over the 19-day tail against 21.2-40.5 deg C on the deterministic days: trend, not threshold triggers."
},
"wind_speed_max_ms": {
"type": [
"number",
"null"
],
"description": "Peak 10 m wind speed over the day (m/s), max of the 3-hourly forecast steps. On days served by the GEFS ensemble mean (dataset=gefs, beyond ~16 days) it is an average over ~30 members: gusty peaks are smoothed away — trend, not threshold triggers."
},
"precipitation_sum_mm": {
"type": [
"number",
"null"
],
"description": "Daily total precipitation (mm), reconstructed from the model's disjoint accumulation buckets (0-3 h, 0-6 h, 6-9 h ...) — never a naive sum of overlapping buckets. On days served by the GEFS ensemble mean (dataset=gefs, beyond ~16 days) it is an average over ~30 members: averaging spreads rain across them, so heavy-rain days AND fully dry days are largely absent — measured at Paris on 2026-07-25, the 19-day ensemble tail stayed within 0.4-1.8 mm/day while the deterministic days ranged 0.0-13.1 mm/day. Use those days for trend, never for a threshold trigger (a 'more than 30 mm in a day' or 'dry day' rule will essentially never fire); the deterministic GFS days are the ones that resolve extremes."
}
}
},
"description": "One entry per UTC calendar day, in date order: daily min/max temperature, total precipitation, max wind, the model that served it and how many forecast steps fed it"
},
"from": {
"type": "string"
},
"grid": {
"type": "object",
"required": [
"distance_km",
"lat",
"lon"
],
"properties": {
"lat": {
"type": "number"
},
"lon": {
"type": "number"
},
"distance_km": {
"type": "number"
}
}
},
"lead": {
"type": "object",
"required": [
"cycle"
],
"properties": {
"cycle": {
"type": "string"
}
}
},
"coverage": {
"type": "object",
"required": [
"complete"
],
"properties": {
"reason": {
"type": "string",
"description": "Why the series is incomplete, present when 'complete' is false — a partial day or a grid cell without data; per-day detail sits in data.days[].coverage"
},
"complete": {
"type": "boolean"
}
}
},
"location": {
"type": "object",
"description": "Echo of the resolved place when city=/location= was used — name, ISO country, admin1 code and the exact GeoNames coordinates the series was served at; absent when lat/lon were passed directly"
}
}
},
"provenance": {
"type": "object",
"required": [
"dataset",
"fetched_at",
"freshness",
"source"
],
"properties": {
"source": {
"type": "string"
},
"dataset": {
"type": "string",
"description": "Stable machine identifier of the model(s) that served the series: gfs, gefs, or gfs+gefs when the range spans both (the per-day boundary is readable in data.days[].dataset). Branch on this field rather than parsing provenance.source, which joins the human-readable labels."
},
"freshness": {
"type": "object",
"required": [
"kind"
],
"properties": {
"kind": {
"type": "string"
}
}
},
"fetched_at": {
"type": "string"
}
}
}
}
},
"example": {
"data": {
"to": "2026-07-06",
"lat": 43.7031,
"lon": 7.2661,
"days": [
{
"date": "2026-07-04",
"source": "GFS",
"dataset": "gfs",
"coverage": {
"complete": true
},
"steps_used": 8,
"temperature_max_c": 27.8,
"temperature_min_c": 21.4,
"wind_speed_max_ms": 6.2,
"precipitation_sum_mm": 0.4
},
{
"date": "2026-07-05",
"source": "GFS",
"dataset": "gfs",
"coverage": {
"complete": true
},
"steps_used": 8,
"temperature_max_c": 29.3,
"temperature_min_c": 22.1,
"wind_speed_max_ms": 5.1,
"precipitation_sum_mm": 1.4
},
{
"date": "2026-07-06",
"source": "GFS",
"dataset": "gfs",
"coverage": {
"complete": true
},
"steps_used": 8,
"temperature_max_c": 28.6,
"temperature_min_c": 22.8,
"wind_speed_max_ms": 4.7,
"precipitation_sum_mm": 0
}
],
"from": "2026-07-04",
"grid": {
"lat": 43.75,
"lon": 7.25,
"distance_km": 5.9
},
"lead": {
"cycle": "2026-07-04T00:00:00+00:00"
},
"coverage": {
"complete": true
}
},
"provenance": {
"source": "GFS",
"dataset": "gfs",
"freshness": {
"kind": "live"
},
"fetched_at": "2026-07-04T06:05:00Z"
}
}
}
},
"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",
"HEAD",
"DELETE"
],
"type": "string"
},
"schema": {
"type": "object"
},
"headers": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"queryParams": {
"type": "object",
"required": [],
"properties": {
"lat": {
"type": "string"
},
"lon": {
"type": "string"
},
"days": {
"type": "string",
"description": "Optional. Number of UTC calendar days to return, 1-35, starting today. Defaults to 16 — the deterministic GFS window; ask for more explicitly to reach the GEFS ensemble-mean tail, whose smoothed extremes answer trend questions rather than threshold triggers. Alternative to lat+lon: pass city=<name> (alias location=, optional country= ISO 3166 alpha-2) resolved via the embedded GeoNames gazetteer and echoed back as data.location."
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
},
"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≈ $0.01 USD
on Base · exact scheme
Pay 0.01 USDC on Base to 0x4465…128ee. The signed payment is good for 1 minute.
- Paid to
- 0x4465…128ee
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 10000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x4465825B0ac713aA2Fa07Ea29023020804A128ee",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"headers": {
"accept": "application/json"
},
"queryParams": {
"lat": "43.7031",
"lon": "7.2661",
"days": "3"
}
},
"output": {
"type": "json"
}
},
"schema": {
"type": "object",
"$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",
"HEAD",
"DELETE"
],
"type": "string"
},
"schema": {
"type": "object"
},
"headers": {
"type": "object",
"additionalProperties": {
"type": "string"
}
},
"queryParams": {
"type": "object",
"required": [],
"properties": {
"lat": {
"type": "string"
},
"lon": {
"type": "string"
},
"days": {
"type": "string"
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-10 00:36Z
- Last indexed by Roundhouse
- 2026-09-25 00:50Z
- Last enriched (probe, favicon, geo)
- 2026-09-14 06:15Z
- x402 version
- 2
- Max timeout
- 60s
- 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. 29 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 Invoket 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=Invoket' 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://api.invoket.com/weather/forecast/daily, 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. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.