← The evidence ledger
Evidence row 1812349
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agent-vending-production.up.railway.app/v1/site-selection
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 50f35d2e7238f4eb43142ce966f1ae377e13c7ccd52e62207f96935a73821e03
- Leaf
- 0xf509600e32628bfdc7014c2cd422301e176830f5594edcb225e2a17a68ddc6d2
What was observed
{
"endpoints": [
[
"x402",
"https://agent-vending-production.up.railway.app/v1/site-selection"
]
],
"name": "US Site Selection",
"owner_address": "0x0b4242adf40726d9b09688030948176752d29924",
"raw": {
"accepts": [
{
"amount": "10000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x0b4242adf40726d9b09688030948176752d29924",
"scheme": "exact"
}
],
"description": "Rank U.S. locations using buyer-defined Census and economic criteria, including demographics, housing, jobs, wages, GDP, employer activity, industry specialization and optional target-market sizing. Scores are transparent and based only on the criteria and weights supplied.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"criteria": [
{
"metric": "median_household_income",
"preference": "higher"
},
{
"metric": "average_annual_pay",
"preference": "lower"
},
{
"metric": "qcew_employment_growth_5y",
"preference": "higher"
},
{
"metric": "laus_unemployment_rate",
"preference": "lower"
},
{
"metric": "employer_establishments_per_1000_residents",
"preference": "higher"
}
],
"data_scope": "census_and_economy",
"locations": [
"Ventura County, CA",
"Orange County, CA",
"San Diego County, CA"
],
"mode": "candidate"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"data_scope": "census_and_economy",
"methodology": {
"score_meaning": "Relative fit under the buyer's supplied criteria and weights."
},
"mode": "CANDIDATE",
"results": [
{
"category_contributions": {
"BUSINESS_ACTIVITY": 22.4185,
"LOCAL_LABOR_MARKET": 12.0741,
"REGIONAL_INCOME": 24.507,
"WAGES": 0.728
},
"category_scores": {
"BUSINESS_ACTIVITY": 89.67,
"LOCAL_LABOR_MARKET": 48.3,
"REGIONAL_INCOME": 98.03,
"WAGES": 2.91
},
"close_score": false,
"explanation": [
"Ranked #1 under supplied criteria (SiteScore 59.73 of 100)."
],
"geography": {
"geo_type": "county",
"geoid": "06059",
"name": "Orange County, California"
},
"metrics": {
"average_annual_pay": {
"contribution": 0.728,
"percentile": 97.09,
"reference_period": "2023",
"value": 77892
}
},
"rank": 1,
"site_score": 59.73
}
],
"scoring_reference_period": 2023,
"site_selection_version": "2.0",
"status": "OK"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"description": "One of candidates/locations or search. data_scope \"census\" (default) = 1.0 behavior; \"census_and_economy\" = counties, Census + economic metrics, 2023-aligned scoring.",
"examples": [
{
"criteria": [
{
"metric": "median_household_income",
"preference": "higher"
},
{
"metric": "average_annual_pay",
"preference": "lower"
},
{
"metric": "qcew_employment_growth_5y",
"preference": "higher"
},
{
"metric": "laus_unemployment_rate",
"preference": "lower"
},
{
"metric": "employer_establishments_per_1000_residents",
"preference": "higher"
}
],
"data_scope": "census_and_economy",
"locations": [
"Ventura County, CA",
"Orange County, CA",
"San Diego County, CA"
],
"mode": "candidate"
},
{
"criteria": [
{
"metric": "target_sector_location_quotient",
"preference": "higher",
"weight": 2
},
{
"metric": "bachelors_or_higher",
"preference": "higher"
},
{
"metric": "average_annual_pay",
"preference": "lower"
}
],
"data_scope": "census_and_economy",
"filters": [
{
"metric": "laus_unemployment_rate",
"operator": "<=",
"value": 6
}
],
"mode": "search",
"search": {
"state": "CA"
},
"target_industry": {
"naics_sector": "54"
},
"top_n": 10
}
],
"properties": {
"balance_categories": {
"description": "Default true",
"type": "boolean"
},
"candidates": {
"items": {
"additionalProperties": true,
"description": "A U.S. state, county, place or ZCTA by name or GEOID (all candidates must share one type).",
"properties": {
"geoid": {
"description": "Census GEOID (alternative to name)",
"type": "string"
},
"name": {
"description": "e.g. \"Ventura County\", \"Thousand Oaks\", \"91362\", \"CA\"",
"type": "string"
},
"state": {
"description": "State name, postal code or FIPS (county/place by name)",
"type": "string"
},
"type": {
"enum": [
"state",
"county",
"place",
"zcta"
],
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
},
"maxItems": 25,
"minItems": 2,
"type": "array"
},
"category_weights": {
"additionalProperties": {
"exclusiveMinimum": 0,
"type": "number"
},
"description": "Optional weight per active category (DEMOGRAPHICS, INCOME, HOUSING, WORKFORCE, EDUCATION, HEALTH_COVERAGE, TARGET_MARKET); normalized to 1",
"type": "object"
},
"criteria": {
"items": {
"additionalProperties": false,
"properties": {
"metric": {
"enum": [
"population",
"median_age",
"median_household_income",
"per_capita_income",
"poverty_rate",
"unemployment_rate",
"labor_force_participation",
"bachelors_or_higher",
"high_school_or_higher",
"homeownership_rate",
"median_home_value",
"median_gross_rent",
"uninsured_rate",
"foreign_born_rate",
"under_18_rate",
"age_65_plus_rate",
"laus_unemployment_rate",
"labor_force",
"employed_people",
"qcew_employment",
"qcew_employment_growth_1y",
"qcew_employment_growth_3y",
"qcew_employment_growth_5y",
"average_annual_pay",
"average_weekly_wage",
"wage_growth_1y",
"wage_growth_3y",
"wage_growth_5y",
"real_gdp",
"nominal_gdp",
"real_gdp_per_capita",
"nominal_gdp_per_capita",
"real_gdp_growth_1y",
"real_gdp_growth_5y",
"personal_income",
"per_capita_personal_income",
"per_capita_personal_income_growth_1y",
"per_capita_personal_income_growth_5y",
"employer_establishments",
"employer_establishments_per_1000_residents",
"establishment_growth_1y",
"establishment_growth_5y",
"annual_payroll",
"target_sector_location_quotient",
"target_sector_employment_share",
"target_sector_average_pay",
"target_sector_wage_premium"
],
"type": "string"
},
"preference": {
"enum": [
"higher",
"lower"
],
"type": "string"
},
"weight": {
"description": "Default 1",
"exclusiveMinimum": 0,
"type": "number"
}
},
"required": [
"metric",
"preference"
],
"type": "object"
},
"maxItems": 16,
"minItems": 1,
"type": "array"
},
"data_scope": {
"description": "Default \"census\"",
"enum": [
"census",
"census_and_economy"
],
"type": "string"
},
"filters": {
"description": "Optional hard filters applied before ranking",
"items": {
"additionalProperties": false,
"properties": {
"metric": {
"description": "Any criteria metric name",
"type": "string"
},
"operator": {
"enum": [
">=",
"<=",
">",
"<"
],
"type": "string"
},
"value": {
"description": "Percent metrics in percent (5 = 5%)",
"type": "number"
}
},
"required": [
"metric",
"operator",
"value"
],
"type": "object"
},
"maxItems": 10,
"type": "array"
},
"include_latest_context": {
"description": "Not used in SiteScore",
"type": "boolean"
},
"locations": {
"description": "Alias of candidates (\"County, ST\" or FIPS allowed)",
"maxItems": 25,
"minItems": 2,
"type": "array"
},
"mode": {
"enum": [
"candidate",
"search"
],
"type": "string"
},
"percentile_universe": {
"enum": [
"national",
"state"
],
"type": "string"
},
"scoring_reference_period": {
"enum": [
"2023"
],
"type": "string"
},
"search": {
"additionalProperties": false,
"properties": {
"geography_type": {
"description": "census_and_economy: county only",
"enum": [
"state",
"county",
"place",
"zcta"
],
"type": "string"
},
"min_population": {
"description": "places >= 10,000; ZCTAs >= 5,000",
"type": "number"
},
"state": {
"description": "county/place searches only",
"type": "string"
}
},
"required": [],
"type": "object"
},
"target_industry": {
"properties": {
"naics_sector": {
"type": "string"
}
},
"type": "object"
},
"target_market": {
"description": "Optional (CANDIDATE mode, <= 10 candidates): Market Size household criteria, use \"supplemental\" (default) or \"scoring\"",
"properties": {
"filters": {
"type": "array"
},
"preference": {
"enum": [
"higher",
"lower"
],
"type": "string"
},
"unit": {
"enum": [
"household"
],
"type": "string"
},
"use": {
"enum": [
"supplemental",
"scoring"
],
"type": "string"
},
"weight": {
"type": "number"
}
},
"type": "object"
},
"top_n": {
"description": "SEARCH mode; default 10",
"maximum": 25,
"minimum": 1,
"type": "integer"
},
"vintage": {
"enum": [
"ACS 2023 5-Year"
],
"type": "string"
}
},
"required": [
"criteria"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"description": "HTTP 200 = completed ranking (charged). Refusals/errors are never charged (400/422/5xx, charged=false), incl. incompatible data scope, redundant criteria, research-only metrics, invalid NAICS sector, SCORING_DATA_INCOMPLETE. SiteScore 0-100 = relative fit under the buyer-supplied criteria and weights; not a probability of success or profitability.",
"properties": {
"category_composition": {
"type": "object"
},
"charged": {
"type": "boolean"
},
"comparison_universe": {
"type": "object"
},
"criteria": {
"type": "array"
},
"data_scope": {
"type": "string"
},
"data_vintage": {
"type": "object"
},
"economic_provenance": {
"type": "object"
},
"eligibility": {
"type": "object"
},
"eligible_locations": {
"type": "integer"
},
"error": {
"type": "object"
},
"methodology": {
"type": "object"
},
"mode": {
"type": "string"
},
"provenance": {
"type": "array"
},
"results": {
"type": "array"
},
"scoring_reference_period": {
"type": "integer"
},
"site_selection_version": {
"type": "string"
},
"status": {
"type": "string"
},
"target_industry": {
"type": "object"
},
"target_market": {
"type": "object"
},
"warnings": {
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-11-01T18:22:04.62Z",
"quality": {
"lastCalledAt": "2026-11-01T18:22:04.62Z"
},
"resource": "https://agent-vending-production.up.railway.app/v1/site-selection",
"serviceName": "US Site Selection",
"tags": [
"site selection",
"location ranking",
"market selection",
"Census data",
"ACS"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Rank U.S. locations using buyer-defined Census and economic criteria, including demographics, housing, jobs, wages, GDP, employer activity, industry specialization and optional target-market sizing. Scores are transparent and based only on the criteria and weights supplied."
}What the leaf hashes
{"body":"50f35d2e7238f4eb43142ce966f1ae377e13c7ccd52e62207f96935a73821e03","id":1812349,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793560318932609,"prev":null,"subject":"x402_bazaar:https://agent-vending-production.up.railway.app/v1/site-selection","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (302406 rows).
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- 0x9aa6ed1978a5bcf3993a5760633ff201f949c4bcd547aca32eeb31e351fe203f
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- 0x9aa1273ba34a8c724dbbc9b3cb1413f241a0b4579bdf0e34b79b28a2d3596713
- 0xfe165eb37d5b462a6bf4db05de7f51b9001c6e6a2e9656b9b5c7429079eedb15
- 0x762e93ad84eebf4db6073dd468537696e4db7895220ed338598891112fb26d25
- 0xfe89719885f1469b72da01fdccd97db62c70f700a649cb57a3252001eb458257
- 0x74a15048dcc9683b5a2633f3571458b16823247fb47c0a1a2e51c4c21184e8cf
- 0x631ece897c4d8b1aa4f83e057914de13fecbd6c264632078bc103eda8a9827b1
- 0x987031ca9675b3f63a997d4f24981e2f0002159e1b6ccf4226bed4eb814723ab
- 0x1278391fa22e576ce5c6362c943edc1a68b9a92ac18bff7789f8a082a7b194c5
- 0x0c23c9192bfe154b4061fe80d841228e518702b191bcc9803922e60782f4706b
- 0x9b4eda8f413d128915df51c98c771c8ee622b35a4252b9c2a803dd51ad66d4c8
- 0x624db22ddd30d851957cc9d44cc5b314f300cfe0ff69cfbcfe0b2a2df8fdd12c
- 0x1023fddec22f7cf1aff98422f0e5714dcc4ca7df3408bb6d4550d6f770e5033a
- 0xf7af9137c03da92bdd37d086da37554097bcd1fce016f93f2e66d18b71970c5d
- Day root
- 0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
- Chained
- 0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
- Published
- On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90