agents.datalegion.ai
We build the data. You build the rest. Enterprise-grade B2B data for teams building AI agents, sales tools, recruiting platforms, and more.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
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.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.05 USDC on Base to 0x59cb…91ed9. The signed payment is good for 5 minutes.
- Paid to
- 0x59cb…91ed9
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 50000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x59cbc98107a0c776d76792991610166d6da91ed9",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"email": "jane@acme.com"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"city": "san francisco",
"state": "ca",
"full_name": "jane doe",
"job_title": "product manager",
"legion_id": "a6fd97f3-ded6-517f-b4fa-f6262776306a",
"company_name": "acme"
}
}
},
"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": {
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "City (person context)."
},
"email": {
"type": "string",
"description": "Email address."
},
"limit": {
"type": "integer",
"maximum": 10,
"minimum": 1,
"description": "Max matches when multiple_results is set."
},
"phone": {
"type": "string",
"description": "Phone number (E.164 preferred)."
},
"state": {
"type": "string",
"description": "State or region (person context)."
},
"school": {
"type": "string",
"description": "School or university name (person context)."
},
"address": {
"type": "string",
"description": "Street address (person context)."
},
"company": {
"type": "string",
"description": "Current company name or domain (person context)."
},
"country": {
"type": "string",
"description": "Country (person context)."
},
"full_name": {
"type": "string",
"description": "Full name."
},
"job_title": {
"type": "string",
"description": "Job title (person context)."
},
"last_name": {
"type": "string",
"description": "Last name (pair with first_name + a context field)."
},
"legion_id": {
"type": "string",
"description": "Data Legion stable identifier."
},
"titlecase": {
"type": "boolean"
},
"birth_date": {
"type": "string",
"description": "Birth date, YYYY-MM-DD (person context)."
},
"email_hash": {
"type": "string",
"description": "SHA-256 hash of a lowercased, trimmed email."
},
"first_name": {
"type": "string",
"description": "First name (pair with last_name + a context field)."
},
"social_url": {
"type": "string",
"description": "Public social profile URL (e.g. a LinkedIn profile)."
},
"linkedin_id": {
"type": "string",
"description": "LinkedIn numeric member/company ID."
},
"postal_code": {
"type": "string",
"description": "Postal / ZIP code (person context)."
},
"pretty_print": {
"type": "boolean"
},
"exclude_fields": {
"type": "string",
"description": "Comma-separated fields to omit."
},
"include_fields": {
"type": "string",
"description": "Comma-separated allowlist of fields to return."
},
"min_confidence": {
"enum": [
"high",
"moderate",
"low"
],
"type": "string",
"description": "Minimum match confidence to return."
},
"required_fields": {
"type": "string",
"description": "Comma-separated field names that must be present in a match."
},
"multiple_results": {
"type": "boolean",
"description": "Return multiple matches instead of the single best."
}
},
"description": "Provide EITHER one strong identifier (email, email_hash, phone, social_url, linkedin_id, legion_id) OR a name (full_name, or first_name + last_name) paired with one context field (company, school, job_title, city, state, country, postal_code, address, birth_date).",
"additionalProperties": false
},
"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"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-06-29 04:07Z
- Last indexed by Roundhouse
- 2026-07-29 00:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-12 21:15Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 404
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
Nothing indexed for this service or its provider yet. Not a claim that it is unused — only that we hold no record. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service agents.datalegion.ai 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=agents.datalegion.ai' 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://agents.datalegion.ai/person/base, 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.