api.invoket.com

https://api.invoket.com/weather/forecast/daily

Shares a payout wallet with 40 other endpoints — its adoption is attributed from that shared wallet's traffic, not earned exclusively.

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). Each day names the model that served it and carries a coverage flag.

64
reliability

Reliability & health

Uptime and response time from our own unpaid probes, plus the reliability score built from them.

Uptime

100.0% avg
0% 50% 100% Thu 8 PMSun 3 AMTue 10 AMThu 6 PM

Response time

p50 94ms · p95 99ms
0ms 100ms 200ms Thu 8 PMSun 3 AMTue 10 AMThu 6 PM
Data table
Reliability history per time bucket over the last 7 days (hourly).
Bucket Uptime Probes Response time
8/13/2026, 8:00:00 PM 100% 1 98ms
8/13/2026, 9:00:00 PM 100% 1 94ms
8/13/2026, 10:00:00 PM 100% 1 95ms
8/14/2026, 12:00:00 AM 100% 1 94ms
8/14/2026, 1:00:00 AM 100% 1 95ms
8/14/2026, 2:00:00 AM 100% 1 94ms
8/14/2026, 3:00:00 AM 100% 1 96ms
8/14/2026, 4:00:00 AM 100% 1 96ms
8/14/2026, 5:00:00 AM 100% 1 98ms
8/14/2026, 6:00:00 AM 100% 1 94ms
8/14/2026, 8:00:00 AM 100% 1 95ms
8/14/2026, 9:00:00 AM 100% 1 95ms
8/14/2026, 10:00:00 AM 100% 1 96ms
8/14/2026, 11:00:00 AM 100% 1 95ms
8/14/2026, 12:00:00 PM 100% 1 93ms
8/14/2026, 2:00:00 PM 100% 1 93ms
8/14/2026, 3:00:00 PM 100% 1 96ms
8/14/2026, 4:00:00 PM 100% 1 95ms
8/14/2026, 5:00:00 PM 100% 1 97ms
8/14/2026, 6:00:00 PM 100% 1 99ms
8/14/2026, 8:00:00 PM 100% 1 97ms
8/14/2026, 9:00:00 PM 100% 1 100ms
8/14/2026, 10:00:00 PM 100% 1 96ms
8/14/2026, 11:00:00 PM 100% 1 96ms
8/15/2026, 12:00:00 AM 100% 1 100ms
8/15/2026, 1:00:00 AM 100% 1 95ms
8/15/2026, 2:00:00 AM 100% 1 102ms
8/15/2026, 3:00:00 AM 100% 1 96ms
8/15/2026, 5:00:00 AM 100% 1 97ms
8/15/2026, 6:00:00 AM 100% 1 97ms
8/15/2026, 7:00:00 AM 100% 1 97ms
8/15/2026, 8:00:00 AM 100% 1 95ms
8/15/2026, 9:00:00 AM 100% 1 95ms
8/15/2026, 10:00:00 AM 100% 1 90ms
8/15/2026, 11:00:00 AM 100% 1 95ms
8/15/2026, 12:00:00 PM 100% 1 93ms
8/15/2026, 2:00:00 PM 100% 1 90ms
8/15/2026, 3:00:00 PM 100% 1 89ms
8/15/2026, 4:00:00 PM 100% 1 91ms
8/15/2026, 5:00:00 PM 100% 1 89ms
8/15/2026, 6:00:00 PM 100% 1 92ms
8/15/2026, 7:00:00 PM 100% 1 91ms
8/15/2026, 9:00:00 PM 100% 1 89ms
8/15/2026, 10:00:00 PM 100% 1 92ms
8/15/2026, 11:00:00 PM 100% 1 89ms
8/16/2026, 12:00:00 AM 100% 1 91ms
8/16/2026, 1:00:00 AM 100% 1 92ms
8/16/2026, 2:00:00 AM 100% 1 93ms
8/16/2026, 3:00:00 AM 100% 1 93ms
8/16/2026, 5:00:00 AM 100% 1 91ms
8/16/2026, 6:00:00 AM 100% 1 91ms
8/16/2026, 7:00:00 AM 100% 1 91ms
8/16/2026, 8:00:00 AM 100% 1 94ms
8/16/2026, 9:00:00 AM 100% 1 90ms
8/16/2026, 10:00:00 AM 100% 1 97ms
8/16/2026, 12:00:00 PM 100% 1 90ms
8/16/2026, 1:00:00 PM 100% 1 98ms
8/16/2026, 2:00:00 PM 100% 1 92ms
8/16/2026, 3:00:00 PM 100% 1 96ms
8/16/2026, 4:00:00 PM 100% 1 94ms
8/16/2026, 5:00:00 PM 100% 1 90ms
8/16/2026, 7:00:00 PM 100% 1 93ms
8/16/2026, 8:00:00 PM 100% 1 94ms
8/16/2026, 9:00:00 PM 100% 1 92ms
8/16/2026, 10:00:00 PM 100% 1 90ms
8/16/2026, 11:00:00 PM 100% 1 89ms
8/17/2026, 12:00:00 AM 100% 1 90ms
8/17/2026, 2:00:00 AM 100% 1 90ms
8/17/2026, 3:00:00 AM 100% 1 93ms
8/17/2026, 4:00:00 AM 100% 1 91ms
8/17/2026, 5:00:00 AM 100% 1 95ms
8/17/2026, 6:00:00 AM 100% 1 100ms
8/17/2026, 7:00:00 AM 100% 1 90ms
8/17/2026, 9:00:00 AM 100% 1 93ms
8/17/2026, 10:00:00 AM 100% 1 92ms
8/17/2026, 11:00:00 AM 100% 1 91ms
8/17/2026, 12:00:00 PM 100% 1 92ms
8/17/2026, 1:00:00 PM 100% 1 93ms
8/17/2026, 2:00:00 PM 100% 1 92ms
8/17/2026, 4:00:00 PM 100% 1 91ms
8/17/2026, 5:00:00 PM 100% 1 95ms
8/17/2026, 6:00:00 PM 100% 1 92ms
8/17/2026, 7:00:00 PM 100% 1 90ms
8/17/2026, 8:00:00 PM 100% 1 95ms
8/17/2026, 9:00:00 PM 100% 1 91ms
8/17/2026, 11:00:00 PM 100% 1 89ms
8/18/2026, 12:00:00 AM 100% 1 91ms
8/18/2026, 1:00:00 AM 100% 1 93ms
8/18/2026, 2:00:00 AM 100% 1 97ms
8/18/2026, 3:00:00 AM 100% 1 92ms
8/18/2026, 4:00:00 AM 100% 1 91ms
8/18/2026, 6:00:00 AM 100% 1 92ms
8/18/2026, 7:00:00 AM 100% 1 94ms
8/18/2026, 8:00:00 AM 100% 1 92ms
8/18/2026, 9:00:00 AM 100% 1 90ms
8/18/2026, 10:00:00 AM 100% 1 90ms
8/18/2026, 11:00:00 AM 100% 1 91ms
8/18/2026, 1:00:00 PM 100% 1 92ms
8/18/2026, 2:00:00 PM 100% 1 94ms
8/18/2026, 3:00:00 PM 100% 1 95ms
8/18/2026, 4:00:00 PM 100% 1 93ms
8/18/2026, 5:00:00 PM 100% 1 104ms
8/18/2026, 6:00:00 PM 100% 1 91ms
8/18/2026, 8:00:00 PM 100% 1 91ms
8/18/2026, 9:00:00 PM 100% 1 92ms
8/18/2026, 10:00:00 PM 100% 1 90ms
8/18/2026, 11:00:00 PM 100% 1 94ms
8/19/2026, 12:00:00 AM 100% 1 97ms
8/19/2026, 1:00:00 AM 100% 1 94ms
8/19/2026, 3:00:00 AM 100% 1 93ms
8/19/2026, 4:00:00 AM 100% 1 90ms
8/19/2026, 5:00:00 AM 100% 1 95ms
8/19/2026, 6:00:00 AM 100% 1 92ms
8/19/2026, 7:00:00 AM 100% 1 90ms
8/19/2026, 8:00:00 AM 100% 1 93ms
8/19/2026, 10:00:00 AM 100% 1 95ms
8/19/2026, 11:00:00 AM 100% 1 96ms
8/19/2026, 12:00:00 PM 100% 1 90ms
8/19/2026, 1:00:00 PM 100% 1 91ms
8/19/2026, 2:00:00 PM 100% 1 92ms
8/19/2026, 3:00:00 PM 100% 1 99ms
8/19/2026, 4:00:00 PM 100% 1 97ms
8/19/2026, 6:00:00 PM 100% 1 97ms
8/19/2026, 7:00:00 PM 100% 1 95ms
8/19/2026, 8:00:00 PM 100% 1 97ms
8/19/2026, 9:00:00 PM 100% 1 97ms
8/19/2026, 10:00:00 PM 100% 1 98ms
8/19/2026, 11:00:00 PM 100% 1 97ms
8/20/2026, 1:00:00 AM 100% 1 95ms
8/20/2026, 2:00:00 AM 100% 1 98ms
8/20/2026, 3:00:00 AM 100% 1 100ms
8/20/2026, 4:00:00 AM 100% 1 99ms
8/20/2026, 5:00:00 AM 100% 1 95ms
8/20/2026, 6:00:00 AM 100% 1 96ms
8/20/2026, 7:00:00 AM 100% 1 95ms
8/20/2026, 8:00:00 AM 100% 1 97ms
8/20/2026, 10:00:00 AM 100% 1 99ms
8/20/2026, 11:00:00 AM 100% 1 97ms
8/20/2026, 12:00:00 PM 100% 1 100ms
8/20/2026, 1:00:00 PM 100% 1 99ms
8/20/2026, 2:00:00 PM 100% 1 97ms
8/20/2026, 3:00:00 PM 100% 1 96ms
8/20/2026, 4:00:00 PM 100% 1 97ms
8/20/2026, 6:00:00 PM 100% 1 97ms
64
Composite reliability — the weighted average of the dimensions below, on a 0–100 scale.
Availability
100

How often it was reachable when we probed it (weight 35%).

Latency
100

How quickly it answers when it is up — fast scores high (weight 20%).

Security
100

Whether it serves over working TLS / https (weight 15%).

Transparency
67

Whether the operator disclosed what it does — description, schema, identity (weight 15%).

Activity
4

Observed on-chain payments to this endpoint's wallet — transactions, volume, and distinct paying wallets over the last month (weight 15%; not yet measured when we have not seen its wallet settle).

Confidence 100% — how much probe evidence backs this score. A thin history is flagged, not hidden.

See the scoring methodology for exactly how each number is computed.

Payment

Currencies
USDC
Networks
base, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
Facilitator
unknown
SDK
unknown

Operator

Company
inferred — unknown
Jurisdiction
Registrar
Register SPA
Domain registered
2026-06-15
Hosting network
FR-OVH-20150522
Hosting country
FR

Operator context is derived from public RDAP/TLS records and unverified. Company and country are only available for endpoints that publish them (an OV/EV TLS certificate or a non-redacted domain record); most endpoints are CDN-fronted and disclose neither.

On-chain activity (base)

736
payments (30d)
10.61
USD volume (30d)
13
paying wallets (30d)

Payments per day

last payment 8/17/2026
0 250 500 Jul 22Jul 30Aug 7Aug 17
Data table
Settled payments per day.
Day Payments Volume (USD) Paying wallets
7/22/2026 26 0.28 2
7/23/2026 15 0.17 2
7/24/2026 23 0.26 2
7/25/2026 14 0.15 2
7/26/2026 14 0.15 2
7/27/2026 18 0.19 3
7/28/2026 6 0.06 1
7/29/2026 6 0.06 1
7/30/2026 6 0.06 1
7/31/2026 485 7.08 8
8/1/2026 6 0.06 1
8/2/2026 6 0.06 1
8/3/2026 6 0.06 1
8/4/2026 6 0.06 1
8/5/2026 6 0.06 1
8/6/2026 6 0.06 1
8/7/2026 6 0.06 1
8/8/2026 6 0.06 1
8/9/2026 8 0.08 3
8/10/2026 8 0.08 2
8/11/2026 6 0.06 1
8/12/2026 7 0.07 2
8/13/2026 6 0.06 1
8/14/2026 7 0.1 3
8/17/2026 33 1.24 1

This payout wallet is shared: figures cover all 41 endpoints paid at it, since payments cannot be attributed to one of them. Only payments settled on chains and facilitators we index.

Linked by wallet — likely same operator

On-chain agent identity and the x402 endpoint that shares its settlement wallet.

Response schema
{
  "properties": {
    "data": {
      "properties": {
        "coverage": {
          "properties": {
            "complete": {
              "type": "boolean"
            },
            "reason": {
              "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",
              "type": "string"
            }
          },
          "required": [
            "complete"
          ],
          "type": "object"
        },
        "days": {
          "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",
          "items": {
            "properties": {
              "coverage": {
                "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",
                "properties": {
                  "complete": {
                    "type": "boolean"
                  },
                  "reason": {
                    "type": "string"
                  }
                },
                "required": [
                  "complete"
                ],
                "type": "object"
              },
              "dataset": {
                "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.",
                "type": "string"
              },
              "date": {
                "type": "string"
              },
              "precipitation_sum_mm": {
                "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.",
                "type": [
                  "number",
                  "null"
                ]
              },
              "source": {
                "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.",
                "type": "string"
              },
              "steps_used": {
                "type": "integer"
              },
              "temperature_max_c": {
                "type": [
                  "number",
                  "null"
                ]
              },
              "temperature_min_c": {
                "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.",
                "type": [
                  "number",
                  "null"
                ]
              },
              "wind_speed_max_ms": {
                "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.",
                "type": [
                  "number",
                  "null"
                ]
              }
            },
            "required": [
              "coverage",
              "dataset",
              "date",
              "source",
              "steps_used"
            ],
            "type": "object"
          },
          "type": "array"
        },
        "from": {
          "type": "string"
        },
        "grid": {
          "properties": {
            "distance_km": {
              "type": "number"
            },
            "lat": {
              "type": "number"
            },
            "lon": {
              "type": "number"
            }
          },
          "required": [
            "distance_km",
            "lat",
            "lon"
          ],
          "type": "object"
        },
        "lat": {
          "type": "number"
        },
        "lead": {
          "properties": {
            "cycle": {
              "type": "string"
            }
          },
          "required": [
            "cycle"
          ],
          "type": "object"
        },
        "location": {
          "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",
          "type": "object"
        },
        "lon": {
          "type": "number"
        },
        "to": {
          "type": "string"
        }
      },
      "required": [
        "coverage",
        "days",
        "from",
        "lat",
        "lead",
        "lon",
        "to"
      ],
      "type": "object"
    },
    "provenance": {
      "properties": {
        "dataset": {
          "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.",
          "type": "string"
        },
        "fetched_at": {
          "type": "string"
        },
        "freshness": {
          "properties": {
            "kind": {
              "type": "string"
            }
          },
          "required": [
            "kind"
          ],
          "type": "object"
        },
        "source": {
          "type": "string"
        }
      },
      "required": [
        "dataset",
        "fetched_at",
        "freshness",
        "source"
      ],
      "type": "object"
    }
  },
  "required": [
    "data",
    "provenance"
  ],
  "type": "object"
}