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Oblique Markets – People Record Normalize
x402
Oblique Markets – People Record Normalize is a paid API for AI agents from api.oblique.markets, paid per call via x402, $0.28/call, status unknown (last checked 2026-09-14).
Normalizes and enriches a person identity record by matching input signals (name, email, domain, LinkedIn URL) to a canonical person profile with confidence scoring.
Price / call$0.28
Success—
StatusUnknown
How this service works
HTTP APIs for AI agents, paid per call with x402 (USDC on Base/Solana) or MPP (Tempo). No accounts, no API keys.
Output
Returns a JSON object containing a matched person profile (id, full name, first/last name, email, email domain, company, company domain, job title, location, LinkedIn URL, profile links), a match object with confidence level and which input signals were used, an identity hash (SHA-256), the data source label, match status, and a retrieval timestamp.
Example use cases
CRM contact deduplication pipeline
“I have a contact record for someone named John Smith with email john.smith@acme.com and LinkedIn https://linkedin.com/in/johnsmith — can you normalize and resolve this into a canonical person profile so I can deduplicate it in my CRM?”
Sales lead enrichment before outreach
“Before we reach out, can you enrich this lead: first name Sarah, last name Connor, email sarah.connor@skynet.io, company Skynet — I need her job title, a canonical identity hash, and a confidence score on the match.”
Identity resolution from domain and name only
“I only have a name — Ada Lovelace — and her company domain analytical.example. Can you resolve her canonical person record and tell me how confident the match is?”
Technical details
Endpoint
POSThttps://api.oblique.markets/api/v1/paid/people-record-normalizeWhen to prefer
Choose this endpoint when you need to resolve, normalize, or enrich a person identity record from partial signals (email, name, domain, LinkedIn URL) into a single canonical profile with a confidence score and stable identity hash. Prefer it over a full people-search endpoint when you already have some identifying information and want to clean or deduplicate a specific contact rather than discover new ones. It is especially useful in CRM pipelines, lead enrichment workflows, or any agent task that requires a verified, hashable canonical identity for a known individual.
Side effects
- Insufficient input signals — if too few fields are provided (e.g. name only with no email or domain), match confidence may be low or status may be 'unmatched'
- Unknown person — if the person is not in the underlying dataset, the response returns a low-confidence or null match
- Invalid email format — malformed email input may cause a validation error or no match
- Rate limiting / payment failure — x402 payment not accepted results in 402 response and no data returned
- Domain not resolvable — an unrecognized or private company domain may yield null company fields
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| name | string | Full name |
| string | Person email address | |
| domain | string | Company domain |
| company | string | Company or organization |
| last_name | string | Last name |
| first_name | string | First name |
| linkedin_url | string | professional profile URL |
Output
Schema · Response
{
"type": "json",
"example": {
"match": {
"confidence": "high",
"input_signals": [
"email"
]
},
"person": {
"id": "a1b2c3d4e5f60718",
"email": "ada@example.com",
"company": "Analytical Engines",
"location": null,
"profiles": [],
"full_name": "Ada Lovelace",
"job_title": null,
"last_name": "Lovelace",
"first_name": "Ada",
"email_domain": "example.com",
"linkedin_url": null,
"company_domain": "analytical.example"
},
"source": "oblique-normalized-identity",
"status": "matched",
"retrieved_at": "2026-08-24T12:00:00.000Z",
"identity_hash": "sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
}
}Tags
x402
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