api.govparse.io
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SearchLiveeip155:8453Exactvia cdp
Calls · 30d
2↑ 7.1%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 30 snapshots so far.
$15.85
Verified settled volume
286 settlements proven x402 by their on-chain EIP-3009 marker.
$1.25
Listed price
As published in the catalog. Always read the live 402 before paying.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
2
Unique payers · 30d
Last called 2026-09-17 06:21Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x3873d15CF3209c32aaA8d9AA542164E658567129The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "payment_required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x3873d15CF3209c32aaA8d9AA542164E658567129",
"amount": "1250000",
"scheme": "exact",
"network": "eip155:8453",
"mimeType": "application/json",
"resource": "https://api.govparse.io/v1/patents/assignees/search",
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"state": "CA",
"assignee": "labs",
"assignee_entity": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
}
},
"output": {
"type": "json",
"example": {
"rows": [
{
"state": "CA",
"country": "US",
"entity_id": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90",
"assignee_key": "org:example ai",
"organization": "EXAMPLE AI INC",
"patent_count": 3,
"cpc_subclasses": "G06F,G06N",
"inventor_count": 6,
"is_new_assignee": true,
"last_grant_date": "2024-09-17",
"first_grant_date": "2024-02-13",
"prior_patent_count": 2,
"recent_patent_count": 6,
"distinct_cpc_subclass_count": 2
}
],
"total_matched": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"type": "object",
"required": [],
"properties": {
"sort": {
"type": "string",
"examples": [
"patent_count:desc"
],
"description": "field:direction — patent_count | first_grant_date | last_grant_date. Default 'last_grant_date:desc'."
},
"limit": {
"type": "integer",
"examples": [
25
],
"description": "Max rows (default 25, cap 100)."
},
"state": {
"type": "string",
"examples": [
"CA"
],
"description": "Assignee state code(s), CSV."
},
"offset": {
"type": "integer",
"examples": [
0
],
"description": "Rows to skip, for paging."
},
"country": {
"type": "string",
"examples": [
"US"
],
"description": "Assignee country code(s), CSV (ISO)."
},
"assignee": {
"type": "string",
"examples": [
"labs"
],
"description": "Assignee organization (company) name fragment."
},
"cpc_subclass": {
"type": "string",
"examples": [
"G06N"
],
"description": "CPC subclass/class/section the org patents in, CSV. G06N=AI/ML."
},
"new_assignee": {
"type": "string",
"examples": [
"true"
],
"description": "true → only new/emerging assignees (first-ever patent grant recent)."
},
"assignee_entity": {
"type": "string",
"examples": [
"3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
],
"description": "Resolved entities.employers entity_id (UUID), exact match."
},
"patent_count_max": {
"type": "integer",
"examples": [
50
],
"description": "Maximum granted-patent count held by the org (lifetime total)."
},
"patent_count_min": {
"type": "integer",
"examples": [
3
],
"description": "Minimum granted-patent count held by the org (lifetime total)."
},
"pct_increase_min": {
"type": "number",
"examples": [
100
],
"description": "Minimum percent increase, recent window vs prior window (100 = the count doubled) — the real patent-surge threshold."
},
"first_grant_after": {
"type": "string",
"examples": [
"2024-01-01"
],
"description": "Org's first observed grant on or after (YYYY-MM-DD)."
},
"first_grant_before": {
"type": "string",
"examples": [
"2024-12-31"
],
"description": "Org's first observed grant on or before (YYYY-MM-DD)."
},
"prior_patent_count_min": {
"type": "integer",
"examples": [
2
],
"description": "Minimum granted-patent count in the PRIOR comparison window (floors out noise on pct_increase_min)."
}
}
}
}
},
"routeTemplate": "/v1/patents/assignees/search"
}
},
"description": "Which companies are new to patenting, and in what technology? Search patent assignee ORGANIZATIONS (entity-resolved), each with first/last grant date, patent count, distinct CPC subclasses, and inventor count. new_assignee=true isolates orgs with their first-ever US patent grant (emerging/stealth signal for VC deal sourcing and corp-dev); narrow by CPC subclass, state/country, first-grant window, or patent_count_min. PatentsView grants (CC BY 4.0), observational.",
"maxAmountRequired": "1250000",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"payTo": "BdcZbENFdEyEUMqv9pnRMUnn1Yyeyo2dCMbYXbJ3LmaB",
"amount": "1250000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"mimeType": "application/json",
"resource": "https://api.govparse.io/v1/patents/assignees/search",
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"state": "CA",
"assignee": "labs",
"assignee_entity": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
}
},
"output": {
"type": "json",
"example": {
"rows": [
{
"state": "CA",
"country": "US",
"entity_id": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90",
"assignee_key": "org:example ai",
"organization": "EXAMPLE AI INC",
"patent_count": 3,
"cpc_subclasses": "G06F,G06N",
"inventor_count": 6,
"is_new_assignee": true,
"last_grant_date": "2024-09-17",
"first_grant_date": "2024-02-13",
"prior_patent_count": 2,
"recent_patent_count": 6,
"distinct_cpc_subclass_count": 2
}
],
"total_matched": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"type": "object",
"required": [],
"properties": {
"sort": {
"type": "string",
"examples": [
"patent_count:desc"
],
"description": "field:direction — patent_count | first_grant_date | last_grant_date. Default 'last_grant_date:desc'."
},
"limit": {
"type": "integer",
"examples": [
25
],
"description": "Max rows (default 25, cap 100)."
},
"state": {
"type": "string",
"examples": [
"CA"
],
"description": "Assignee state code(s), CSV."
},
"offset": {
"type": "integer",
"examples": [
0
],
"description": "Rows to skip, for paging."
},
"country": {
"type": "string",
"examples": [
"US"
],
"description": "Assignee country code(s), CSV (ISO)."
},
"assignee": {
"type": "string",
"examples": [
"labs"
],
"description": "Assignee organization (company) name fragment."
},
"cpc_subclass": {
"type": "string",
"examples": [
"G06N"
],
"description": "CPC subclass/class/section the org patents in, CSV. G06N=AI/ML."
},
"new_assignee": {
"type": "string",
"examples": [
"true"
],
"description": "true → only new/emerging assignees (first-ever patent grant recent)."
},
"assignee_entity": {
"type": "string",
"examples": [
"3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
],
"description": "Resolved entities.employers entity_id (UUID), exact match."
},
"patent_count_max": {
"type": "integer",
"examples": [
50
],
"description": "Maximum granted-patent count held by the org (lifetime total)."
},
"patent_count_min": {
"type": "integer",
"examples": [
3
],
"description": "Minimum granted-patent count held by the org (lifetime total)."
},
"pct_increase_min": {
"type": "number",
"examples": [
100
],
"description": "Minimum percent increase, recent window vs prior window (100 = the count doubled) — the real patent-surge threshold."
},
"first_grant_after": {
"type": "string",
"examples": [
"2024-01-01"
],
"description": "Org's first observed grant on or after (YYYY-MM-DD)."
},
"first_grant_before": {
"type": "string",
"examples": [
"2024-12-31"
],
"description": "Org's first observed grant on or before (YYYY-MM-DD)."
},
"prior_patent_count_min": {
"type": "integer",
"examples": [
2
],
"description": "Minimum granted-patent count in the PRIOR comparison window (floors out noise on pct_increase_min)."
}
}
}
}
},
"routeTemplate": "/v1/patents/assignees/search"
}
},
"description": "Which companies are new to patenting, and in what technology? Search patent assignee ORGANIZATIONS (entity-resolved), each with first/last grant date, patent count, distinct CPC subclasses, and inventor count. new_assignee=true isolates orgs with their first-ever US patent grant (emerging/stealth signal for VC deal sourcing and corp-dev); narrow by CPC subclass, state/country, first-grant window, or patent_count_min. PatentsView grants (CC BY 4.0), observational.",
"maxAmountRequired": "1250000",
"maxTimeoutSeconds": 300
}
],
"resource": {
"url": "https://api.govparse.io/v1/patents/assignees/search",
"mimeType": "application/json",
"description": "Which companies are new to patenting, and in what technology? Search patent assignee ORGANIZATIONS (entity-resolved), each with first/last grant date, patent count, distinct CPC subclasses, and inventor count. new_assignee=true isolates orgs with their first-ever US patent grant (emerging/stealth signal for VC deal sourcing and corp-dev); narrow by CPC subclass, state/country, first-grant window, or patent_count_min. PatentsView grants (CC BY 4.0), observational."
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"state": "CA",
"assignee": "labs",
"assignee_entity": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
}
},
"output": {
"type": "json",
"example": {
"rows": [
{
"state": "CA",
"country": "US",
"entity_id": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90",
"assignee_key": "org:example ai",
"organization": "EXAMPLE AI INC",
"patent_count": 3,
"cpc_subclasses": "G06F,G06N",
"inventor_count": 6,
"is_new_assignee": true,
"last_grant_date": "2024-09-17",
"first_grant_date": "2024-02-13",
"prior_patent_count": 2,
"recent_patent_count": 6,
"distinct_cpc_subclass_count": 2
}
],
"total_matched": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"type": "object",
"required": [],
"properties": {
"sort": {
"type": "string",
"examples": [
"patent_count:desc"
],
"description": "field:direction — patent_count | first_grant_date | last_grant_date. Default 'last_grant_date:desc'."
},
"limit": {
"type": "integer",
"examples": [
25
],
"description": "Max rows (default 25, cap 100)."
},
"state": {
"type": "string",
"examples": [
"CA"
],
"description": "Assignee state code(s), CSV."
},
"offset": {
"type": "integer",
"examples": [
0
],
"description": "Rows to skip, for paging."
},
"country": {
"type": "string",
"examples": [
"US"
],
"description": "Assignee country code(s), CSV (ISO)."
},
"assignee": {
"type": "string",
"examples": [
"labs"
],
"description": "Assignee organization (company) name fragment."
},
"cpc_subclass": {
"type": "string",
"examples": [
"G06N"
],
"description": "CPC subclass/class/section the org patents in, CSV. G06N=AI/ML."
},
"new_assignee": {
"type": "string",
"examples": [
"true"
],
"description": "true → only new/emerging assignees (first-ever patent grant recent)."
},
"assignee_entity": {
"type": "string",
"examples": [
"3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
],
"description": "Resolved entities.employers entity_id (UUID), exact match."
},
"patent_count_max": {
"type": "integer",
"examples": [
50
],
"description": "Maximum granted-patent count held by the org (lifetime total)."
},
"patent_count_min": {
"type": "integer",
"examples": [
3
],
"description": "Minimum granted-patent count held by the org (lifetime total)."
},
"pct_increase_min": {
"type": "number",
"examples": [
100
],
"description": "Minimum percent increase, recent window vs prior window (100 = the count doubled) — the real patent-surge threshold."
},
"first_grant_after": {
"type": "string",
"examples": [
"2024-01-01"
],
"description": "Org's first observed grant on or after (YYYY-MM-DD)."
},
"first_grant_before": {
"type": "string",
"examples": [
"2024-12-31"
],
"description": "Org's first observed grant on or before (YYYY-MM-DD)."
},
"prior_patent_count_min": {
"type": "integer",
"examples": [
2
],
"description": "Minimum granted-patent count in the PRIOR comparison window (floors out noise on pct_increase_min)."
}
}
}
}
},
"routeTemplate": "/v1/patents/assignees/search"
}
},
"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.
1.25USDC≈ $1.25 USD
on Base · exact scheme
Pay 1.25 USDC on Base to 0x3873…67129. The signed payment is good for 5 minutes.
- Paid to
- 0x3873…67129
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 1250000 smallest units
1250000units
on solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · exact scheme
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- BdcZbE…3LmaB
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x3873d15CF3209c32aaA8d9AA542164E658567129",
"amount": "1250000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"payTo": "BdcZbENFdEyEUMqv9pnRMUnn1Yyeyo2dCMbYXbJ3LmaB",
"amount": "1250000",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"state": "CA",
"assignee": "labs",
"assignee_entity": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
}
},
"output": {
"type": "json",
"example": {
"rows": [
{
"state": "CA",
"country": "US",
"entity_id": "3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90",
"assignee_key": "org:example ai",
"organization": "EXAMPLE AI INC",
"patent_count": 3,
"cpc_subclasses": "G06F,G06N",
"inventor_count": 6,
"is_new_assignee": true,
"last_grant_date": "2024-09-17",
"first_grant_date": "2024-02-13",
"prior_patent_count": 2,
"recent_patent_count": 6,
"distinct_cpc_subclass_count": 2
}
],
"total_matched": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"type": "object",
"required": [],
"properties": {
"sort": {
"type": "string",
"examples": [
"patent_count:desc"
],
"description": "field:direction — patent_count | first_grant_date | last_grant_date. Default 'last_grant_date:desc'."
},
"limit": {
"type": "integer",
"examples": [
25
],
"description": "Max rows (default 25, cap 100)."
},
"state": {
"type": "string",
"examples": [
"CA"
],
"description": "Assignee state code(s), CSV."
},
"offset": {
"type": "integer",
"examples": [
0
],
"description": "Rows to skip, for paging."
},
"country": {
"type": "string",
"examples": [
"US"
],
"description": "Assignee country code(s), CSV (ISO)."
},
"assignee": {
"type": "string",
"examples": [
"labs"
],
"description": "Assignee organization (company) name fragment."
},
"cpc_subclass": {
"type": "string",
"examples": [
"G06N"
],
"description": "CPC subclass/class/section the org patents in, CSV. G06N=AI/ML."
},
"new_assignee": {
"type": "string",
"examples": [
"true"
],
"description": "true → only new/emerging assignees (first-ever patent grant recent)."
},
"assignee_entity": {
"type": "string",
"examples": [
"3f6a1c9e-2b4d-4a8e-9c1f-7e2d5a6b8c90"
],
"description": "Resolved entities.employers entity_id (UUID), exact match."
},
"patent_count_max": {
"type": "integer",
"examples": [
50
],
"description": "Maximum granted-patent count held by the org (lifetime total)."
},
"patent_count_min": {
"type": "integer",
"examples": [
3
],
"description": "Minimum granted-patent count held by the org (lifetime total)."
},
"pct_increase_min": {
"type": "number",
"examples": [
100
],
"description": "Minimum percent increase, recent window vs prior window (100 = the count doubled) — the real patent-surge threshold."
},
"first_grant_after": {
"type": "string",
"examples": [
"2024-01-01"
],
"description": "Org's first observed grant on or after (YYYY-MM-DD)."
},
"first_grant_before": {
"type": "string",
"examples": [
"2024-12-31"
],
"description": "Org's first observed grant on or before (YYYY-MM-DD)."
},
"prior_patent_count_min": {
"type": "integer",
"examples": [
2
],
"description": "Minimum granted-patent count in the PRIOR comparison window (floors out noise on pct_increase_min)."
}
}
}
}
},
"routeTemplate": "/v1/patents/assignees/search"
}
}Provenance
- Seen in the source catalog
- 2026-09-17 06:21Z
- Last indexed by Roundhouse
- 2026-09-24 10:30Z
- Last enriched (probe, favicon, geo)
- 2026-09-11 14:46Z
- 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. 30 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 api.govparse.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=api.govparse.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://api.govparse.io/v1/patents/assignees/search, 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.