agentsvc.io
No description published for this endpoint.
InfraLiveeip155:8453Exactvia wellknown:agentsvc.io
Calls · 30d
7↑ 9.5%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 28 snapshots so far.
$9.62
Verified settled volume
1,374 settlements proven x402 by their on-chain EIP-3009 marker.
$0.013
Listed price
As published in the catalog. Always read the live 402 before paying.
—
Calls · 30d
Upstream's own call count for this endpoint, not ours.
—
Unique payers · 30d
Never called
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"docs": "https://agentsvc.io/docs",
"hint": "This call costs $0.013 USDC, paid per request with USDC on Base, Solana, Polygon or Arbitrum mainnet via x402. No account, no API key. Easiest: use an x402 client (JavaScript: @x402/fetch + @x402/evm, Python: pip install x402) with a wallet holding USDC on Base; it handles the 402 automatically. Manual: sign an EIP-3009 TransferWithAuthorization for the requirements in accepts[0] (v1) or in the PAYMENT-REQUIRED response header (v2) and retry with the X-PAYMENT (v1) or PAYMENT-SIGNATURE (v2) header.",
"error": "payment_required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact",
"network": "base",
"mimeType": "application/json",
"resource": "https://agentsvc.io/api/v1/proxy/satellite-compare",
"description": "Before/after satellite comparison of the same area on two dates from NASA GIBS true-color imagery (MODIS or VIIRS, about 250 m per pixel): one side-by-side JPEG with date labels plus pixel-based change metrics (share of changed pixels, brightness change) and a cloud, haze and snow estimate for each date, with a plain-language reading that says whether the change is likely real or just weather.",
"outputSchema": {
"input": {
"body": {
"lat": -18.75,
"lon": -67.1,
"width": 256,
"radius_km": 50,
"date_after": "2016-05-10",
"date_before": "2014-05-10"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"discoverable": true
},
"output": {
"bbox": {
"max_lat": -18.2995,
"max_lon": -66.6243,
"min_lat": -19.2005,
"min_lon": -67.5757
},
"note": "Daily true-color mosaics at about 250 m per pixel. Change metrics are computed from pixels and are indicative only; seasons, sun angle, clouds and smoke all count as change.",
"layer": "modis_terra",
"width": 520,
"change": {
"after": {
"no_data_pct": 0,
"mean_brightness": 49.8,
"cloud_or_snow_pct": 6.4,
"cloud_haze_or_snow_pct": 18.3
},
"before": {
"no_data_pct": 13,
"mean_brightness": 42.6,
"cloud_or_snow_pct": 0.5,
"cloud_haze_or_snow_pct": 8.6
},
"reading": "Visible change in part of the area (for example water level, burn scars, flooding, snow or fields). Check the image.",
"reliable": true,
"changed_pixels_pct": 20.1,
"mean_brightness_change_pct": 7.3
},
"height": 264,
"layout": "side_by_side: left = date_before, right = date_after, date labels on top",
"layer_id": "MODIS_Terra_CorrectedReflectance_TrueColor",
"mime_type": "image/jpeg",
"date_after": "2016-05-10",
"size_bytes": 22150,
"attribution": "NASA EOSDIS GIBS / Worldview",
"date_before": "2014-05-10",
"image_base64": "/9j/2wBDAAYEBAUEBAYFBQUG…"
}
},
"maxAmountRequired": "13000",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
},
"payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
"scheme": "exact",
"network": "solana",
"mimeType": "application/json",
"resource": "https://agentsvc.io/api/v1/proxy/satellite-compare",
"description": "Before/after satellite comparison of the same area on two dates from NASA GIBS true-color imagery (MODIS or VIIRS, about 250 m per pixel): one side-by-side JPEG with date labels plus pixel-based change metrics (share of changed pixels, brightness change) and a cloud, haze and snow estimate for each date, with a plain-language reading that says whether the change is likely real or just weather.",
"outputSchema": {
"input": {
"body": {
"lat": -18.75,
"lon": -67.1,
"width": 256,
"radius_km": 50,
"date_after": "2016-05-10",
"date_before": "2014-05-10"
},
"type": "http",
"method": "POST",
"bodyType": "json",
"discoverable": true
},
"output": {
"bbox": {
"max_lat": -18.2995,
"max_lon": -66.6243,
"min_lat": -19.2005,
"min_lon": -67.5757
},
"note": "Daily true-color mosaics at about 250 m per pixel. Change metrics are computed from pixels and are indicative only; seasons, sun angle, clouds and smoke all count as change.",
"layer": "modis_terra",
"width": 520,
"change": {
"after": {
"no_data_pct": 0,
"mean_brightness": 49.8,
"cloud_or_snow_pct": 6.4,
"cloud_haze_or_snow_pct": 18.3
},
"before": {
"no_data_pct": 13,
"mean_brightness": 42.6,
"cloud_or_snow_pct": 0.5,
"cloud_haze_or_snow_pct": 8.6
},
"reading": "Visible change in part of the area (for example water level, burn scars, flooding, snow or fields). Check the image.",
"reliable": true,
"changed_pixels_pct": 20.1,
"mean_brightness_change_pct": 7.3
},
"height": 264,
"layout": "side_by_side: left = date_before, right = date_after, date labels on top",
"layer_id": "MODIS_Terra_CorrectedReflectance_TrueColor",
"mime_type": "image/jpeg",
"date_after": "2016-05-10",
"size_bytes": 22150,
"attribution": "NASA EOSDIS GIBS / Worldview",
"date_before": "2014-05-10",
"image_base64": "/9j/2wBDAAYEBAUEBAYFBQUG…"
}
},
"maxAmountRequired": "13000",
"maxTimeoutSeconds": 300
}
],
"payment": {
"asset": "USDC",
"pay_to": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact",
"network": "eip155:8453",
"chain_id": 8453,
"price_usd": 0.013,
"network_v1": "base",
"also_accepted": {
"see": "accepts[1] (v1 body) or PAYMENT-REQUIRED accepts[1] (v2)",
"pay_to": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"asset_mint": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v"
},
"amount_atomic": "13000",
"asset_contract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"x402_versions_accepted": [
1,
2
]
},
"request": {
"method": "POST",
"content_type": "application/json",
"input_schema": {
"type": "object",
"properties": {
"lat": {
"type": "number"
},
"lon": {
"type": "number"
},
"bbox": {
"type": "array",
"items": {
"type": "number"
},
"maxItems": 4,
"minItems": 4
},
"layer": {
"enum": [
"modis_terra",
"modis_aqua",
"viirs_snpp",
"viirs_noaa20"
],
"type": "string",
"default": "modis_terra"
},
"place": {
"type": "string",
"description": "Place name instead of coordinates, e.g. \"Valencia, Spain\" (GeoNames, cities and towns)"
},
"width": {
"type": "integer",
"default": 384,
"maximum": 768,
"minimum": 64,
"description": "Width of each of the two images; the composite is 2 x width + 8 px"
},
"radius_km": {
"type": "number",
"default": 50,
"maximum": 500,
"minimum": 5
},
"date_after": {
"type": "string",
"description": "YYYY-MM-DD, default yesterday"
},
"date_before": {
"type": "string",
"description": "YYYY-MM-DD, default 365 days before date_after"
},
"include_separate": {
"type": "boolean",
"default": false,
"description": "Also return both images separately as base64"
}
}
},
"example_input": {
"lat": -18.75,
"lon": -67.1,
"width": 256,
"radius_km": 50,
"date_after": "2016-05-10",
"date_before": "2014-05-10"
}
},
"try_free": "https://agentsvc.io/api/v1/try/satellite-compare",
"x402Version": 1,
"service_info": "https://agentsvc.io/api/v1/services/satellite-compare"
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.013USDC≈ $0.013 USD
on Base · exact scheme
Pay 0.013 USDC on Base to 0x622e…74F27. The signed payment is good for 5 minutes.
- Paid to
- 0x622e…74F27
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 13000 smallest units
13000units
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
- 5JzPS5…977tg
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
13000units
on Polygon · 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
- 0x622e…74F27
- Token contract
- 0x3c49…c3359
- Payment window
- 5 minutes
13000units
on Arbitrum · 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
- 0x622e…74F27
- Token contract
- 0xaf88…e5831
- Payment window
- 5 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"amount": "13000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
},
"payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
"amount": "13000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
},
{
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"amount": "13000",
"scheme": "exact",
"network": "eip155:137",
"maxTimeoutSeconds": 300
},
{
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"amount": "13000",
"scheme": "exact",
"network": "eip155:42161",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"lat": -18.75,
"lon": -67.1,
"width": 256,
"radius_km": 50,
"date_after": "2016-05-10",
"date_before": "2014-05-10"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"data": {
"bbox": {
"max_lat": -18.2995,
"max_lon": -66.6243,
"min_lat": -19.2005,
"min_lon": -67.5757
},
"note": "Daily true-color mosaics at about 250 m per pixel. Change metrics are compute...",
"layer": "modis_terra",
"width": 520,
"change": {
"after": {
"no_data_pct": 0,
"mean_brightness": 49.8,
"cloud_or_snow_pct": 6.4,
"cloud_haze_or_snow_pct": 18.3
},
"before": {
"no_data_pct": 13,
"mean_brightness": 42.6,
"cloud_or_snow_pct": 0.5,
"cloud_haze_or_snow_pct": 8.6
},
"reading": "Visible change in part of the area (for example water level, burn scars, floo...",
"reliable": true,
"changed_pixels_pct": 20.1,
"mean_brightness_change_pct": 7.3
},
"height": 264,
"layout": "side_by_side: left = date_before, right = date_after, date labels on top",
"layer_id": "MODIS_Terra_CorrectedReflectance_TrueColor",
"mime_type": "image/jpeg",
"date_after": "2016-05-10",
"size_bytes": 22150,
"attribution": "NASA EOSDIS GIBS / Worldview",
"date_before": "2014-05-10",
"image_base64": "/9j/2wBDAAYEBAUEBAYFBQUG…"
},
"success": true
}
}
},
"tags": [
"satellite",
"change-detection",
"before-after",
"nasa",
"earth-observation",
"flood",
"wildfire",
"satellite-image",
"before-and-after",
"flood-mapping"
],
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"required": [],
"properties": {
"lat": {
"type": "number"
},
"lon": {
"type": "number"
},
"bbox": {
"type": "array",
"items": {
"type": "number"
},
"maxItems": 4,
"minItems": 4
},
"layer": {
"enum": [
"modis_terra",
"modis_aqua",
"viirs_snpp",
"viirs_noaa20"
],
"type": "string",
"default": "modis_terra"
},
"place": {
"type": "string",
"description": "Place name instead of coordinates, e.g. \"Valencia, Spain\" (GeoNames, cities and towns)"
},
"width": {
"type": "integer",
"default": 384,
"maximum": 768,
"minimum": 64,
"description": "Width of each of the two images; the composite is 2 x width + 8 px"
},
"radius_km": {
"type": "number",
"default": 50,
"maximum": 500,
"minimum": 5
},
"date_after": {
"type": "string",
"description": "YYYY-MM-DD, default yesterday"
},
"date_before": {
"type": "string",
"description": "YYYY-MM-DD, default 365 days before date_after"
},
"include_separate": {
"type": "boolean",
"default": false,
"description": "Also return both images separately as base64"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"success",
"data"
],
"properties": {
"data": {
"type": "object",
"required": [
"image_base64",
"date_before",
"date_after",
"change"
],
"properties": {
"bbox": {
"type": "object",
"properties": {
"max_lat": {
"type": "number"
},
"max_lon": {
"type": "number"
},
"min_lat": {
"type": "number"
},
"min_lon": {
"type": "number"
}
}
},
"note": {
"type": "string"
},
"layer": {
"type": "string"
},
"width": {
"type": "integer"
},
"change": {
"type": "object",
"properties": {
"after": {
"type": "object",
"properties": {
"no_data_pct": {
"type": "integer"
},
"mean_brightness": {
"type": "number"
},
"cloud_or_snow_pct": {
"type": "number"
},
"cloud_haze_or_snow_pct": {
"type": "number"
}
}
},
"before": {
"type": "object",
"properties": {
"no_data_pct": {
"type": "integer"
},
"mean_brightness": {
"type": "number"
},
"cloud_or_snow_pct": {
"type": "number"
},
"cloud_haze_or_snow_pct": {
"type": "number"
}
}
},
"reading": {
"type": "string"
},
"reliable": {
"type": "boolean"
},
"changed_pixels_pct": {
"type": "number"
},
"mean_brightness_change_pct": {
"type": "number"
}
}
},
"height": {
"type": "integer"
},
"layout": {
"type": "string"
},
"layer_id": {
"type": "string"
},
"mime_type": {
"type": "string"
},
"date_after": {
"type": "string"
},
"size_bytes": {
"type": "integer"
},
"attribution": {
"type": "string"
},
"date_before": {
"type": "string"
},
"image_base64": {
"type": "string"
}
}
},
"success": {
"type": "boolean"
}
}
}
}
}
}
},
"category": "visual"
}
}Provenance
- Seen in the source catalog
- —
- Last indexed by Roundhouse
- 2026-10-12 16:15Z
- Last enriched (probe, favicon, geo)
- 2026-10-12 16:46Z
- x402 version
- 2
- Max timeout
- 300s
- 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. 28 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 agentsvc.io 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=agentsvc.io' 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://agentsvc.io/api/v1/proxy/satellite-compare, 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.