NamSor API v2
63
AI ReadinessAI-Aware (B-)63/100
Agent-ready OpenAPI document · curated by JenticData EnrichmentContact EnrichmentapiKey114 EndpointsREST
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For Agents
Classify a name's likely gender, country of origin, residence, and ethnicity across 100+ countries. Single-name and batch (up to 100) operations.
Use for: I need to predict the gender of a first name across many countries, Classify the likely country of origin for a list of full names, Find the most likely ethnicity for a customer name in a US dataset, Detect whether 'Apple' refers to a personal name or a brand
Not supported: Does not handle identity verification, fraud scoring, or PII discovery - use for name-based gender, origin, and ethnicity classification only.
Jentic publishes the only available OpenAPI specification for NamSor API v2, keeping it validated and agent-ready. NamSor classifies personal names by likely gender, country of origin, country of residence, ethnicity, and US 'race' for diversity reporting and customer enrichment. The API works across alphabets and languages and exposes 114 endpoints covering single-name lookups, geo-aware variants, batch processing of up to 100 names per request, and admin endpoints for API key usage and feature toggles. Costs are metered in 'units' per name with simple operations using one unit and ethnicity classifiers using 10 to 20 units depending on the taxonomy.
Install Jentic One Beta
Connect the NamSor API v2 to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the NamSor API v2, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fnamsor.com%2Fnamsor" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fnamsor.com%2Fnamsor" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with NamSor API v2 API.
Infer the likely gender of a first name or first+last name pair, with optional country context
Predict the country of origin or country of residence from a personal name
Classify a name's ethnicity using regional taxonomies (US race, UK, Brazilian, Asian)
Detect whether a proper noun is a personal name, brand, or place to clean noisy contact data
Process batches of up to 100 names per request to enrich large customer files efficiently
Inspect remaining API key units and per-classifier cost via admin endpoints
Use Cases
Patterns agents use NamSor API v2 API for, with concrete tasks.
★ Diversity and Inclusion Reporting
Talent and HR teams use name-based ethnicity and gender inference to estimate workforce demographics where self-reporting is incomplete. NamSor's ethnicity endpoints return predicted classes and confidence scores using established US-race taxonomies, letting analytics platforms produce DE&I dashboards while flagging low-confidence predictions for manual review. Batch endpoints handle full applicant pools in a single call.
POST /api2/json/genderBatch with 100 employee first+last names and aggregate the predicted gender distribution by department.
CRM Contact Enrichment
Sales and marketing platforms enrich contact records with predicted gender, country of origin, and country of residence to personalise outreach. NamSor's geo-aware endpoints accept an ISO country code alongside the name to disambiguate (for example 'Maria' in Spain vs Brazil), improving accuracy for international audiences. Batch processing keeps cost per record predictable.
POST /api2/json/originBatch with a list of leads and append the predicted country of origin to each CRM record.
Data Cleaning for Inbound Forms
Forms and webhooks often capture noisy data where users enter brand names, places, or generic strings in name fields. The /api2/json/nameType endpoint classifies a proper noun as 'personalName', 'brandName', or 'place' so downstream systems can route or reject the record. This prevents downstream enrichment calls from wasting units on invalid inputs.
Call GET /api2/json/nameType/{properNoun} for each new lead and reject any record where the response is 'brandName' or 'place'.
AI Agent Name Intelligence
An AI assistant invoked through Jentic enriches contact data on demand by searching for a NamSor operation, loading its schema, and executing it with the contact's name. Jentic stores the X-API-KEY in its vault and exposes only a scoped token, so the agent can call gender, origin, and ethnicity endpoints without ever seeing the raw API key, simplifying compliance for customer-data workflows.
Search Jentic for 'predict gender from name', load POST /api2/json/genderBatch, and execute it with a 50-name batch from the CRM segmentation job.
Key Endpoints
114 endpoints — jentic publishes the only available openapi specification for namsor api v2, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
GET
/api2/json/gender/{firstName}/{lastName}
Infer the likely gender of a first+last name pair
POST
/api2/json/genderBatch
Batch gender classification for up to 100 names
GET
/api2/json/origin/{firstName}/{lastName}
Predict the likely country of origin (10 units)
GET
/api2/json/country/{personalNameFull}
Predict the likely country of residence (10 units)
POST
/api2/json/corridorBatch
Batch corridor classifications for migration analysis
GET
/api2/json/nameType/{properNoun}
Classify a proper noun as personal name, brand, or place
GET
/api2/json/apiUsage
Read current API key unit usage
GET
/api2/json/apiServices
List classifiers and their unit costs
GET
/api2/json/gender/{firstName}/{lastName}
Infer the likely gender of a first+last name pair
POST
/api2/json/genderBatch
Batch gender classification for up to 100 names
GET
/api2/json/origin/{firstName}/{lastName}
Predict the likely country of origin (10 units)
GET
/api2/json/country/{personalNameFull}
Predict the likely country of residence (10 units)
POST
/api2/json/corridorBatch
Batch corridor classifications for migration analysis
GET
/api2/json/nameType/{properNoun}
Classify a proper noun as personal name, brand, or place
GET
/api2/json/apiUsage
Read current API key unit usage
GET
/api2/json/apiServices
List classifiers and their unit costs
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
N
NamSor API v2
- AI-Aware (B-)63/100
99
Foundational Compliance63
Developer Experience & Jentic Compatibility48
AI-Readiness & Agent Experience81
Agent Usability50
Security64
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
99
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
94%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
48
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: D+Signals: 4
56%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
85%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
50%
Summary Coverage
Coverage of summaries across operations/tags/info.
81
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: ASignals: 1
81%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
64
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: BSignals: 1
64%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring NamSor by hand means holding its X-API-KEY, setting the header on every call against v2.namsor.com, and picking the right classifier out of a large surface yourself. Through Jentic you install once, import the NamSor API from the API Directory, store the key once, and your agent calls it.
Permission scoping
NamSor carries the name to classify in the URL path or request body rather than a resource you own, so scope the agent to the operations it needs, such as predicting gender or country of origin, and leave batch classifiers out of the allowed set unless you include them.
Credential isolation
Your NamSor X-API-KEY is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'predict gender from a name' or 'classify country of origin', and Jentic returns the matching NamSor operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using NamSor API v2 API through Jentic.
Why is there no official OpenAPI spec for NamSor API v2?
NamSor does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call NamSor API v2 via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.
What authentication does the NamSor API v2 use?
NamSor uses an API key sent in the X-API-KEY HTTP header. When called through Jentic the key is stored encrypted in the vault and the agent receives a scoped execution token; the raw X-API-KEY never enters the agent's context.
Can I batch-classify many names with the NamSor API v2?
Yes. The batch endpoints (genderBatch, genderGeoBatch, originBatch, corridorBatch, etc.) accept up to 100 names per request and return one classification object per input. Batch calls are the recommended pattern for any workload above a handful of names per minute.
How is NamSor API v2 usage priced and rate-limited?
Costs are metered in 'units' per name. Simple operations like gender consume 1 unit per name; origin and country classifications use 10 units; corridor and ethnicity taxonomies can use up to 50 units per name pair. Call GET /api2/json/apiUsage to read remaining units and GET /api2/json/apiServices to see per-classifier costs.
Can the NamSor API v2 distinguish a personal name from a brand or place?
Yes. GET /api2/json/nameType/{properNoun} returns 'personalName', 'brandName', or 'place' so you can clean noisy form input before sending it to the gender or origin classifiers. There is also a geo-aware variant at /api2/json/nameTypeGeo/{properNoun}/{countryIso2} that uses country context.
How do I run a gender classification through Jentic?
Run jentic.search('predict gender from name'), load the POST /api2/json/genderBatch operation, then jentic.execute with an array of {firstName, lastName} objects. Jentic returns the structured response so the agent can append predicted gender and probability to each contact record.
Can I limit what my agent is allowed to do with the NamSor API v2?
Yes. Because NamSor takes the name to classify in the URL path or request body rather than a resource you own, the rules on your self-hosted Jentic One instance decide which NamSor operations the agent may call. You can allow just the classifiers it needs, such as GET /api2/json/gender/{firstName}/{lastName} for gender or GET /api2/json/origin/{firstName}/{lastName} for country of origin, and leave batch endpoints like genderBatch and originBatch out of the allowed set unless you deliberately include them. Your X-API-KEY stays with your own instance and is injected only for the operations you permit.
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