For Agents
Predict the likely age associated with a first name in a given country to enrich CRM, marketing, or analytics records that lack age data.
Get started with Agify API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"predict age from first name"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with Agify API API.
Predict the most likely age for a single first name via GET /?name=jane
Batch up to 10 names per request by repeating the name query parameter
Bias predictions by country with the country_id parameter (ISO-3166 alpha-2)
Inspect the sample count behind each prediction to gauge confidence
GET STARTED
Use for: Predict the likely age for the name 'Jane', Get age predictions for a batch of 10 first names in one call, Find the age distribution for a name biased toward Brazil, Check whether the name 'Aoife' has a prediction with a high sample count
Not supported: Does not validate identity, perform KYC, infer gender, or look up exact birth dates — use for statistical age estimation from first names only.
Jentic publishes the only available OpenAPI specification for Agify API, keeping it validated and agent-ready.
Jentic publishes the only available OpenAPI specification for Agify API, keeping it validated and agent-ready. Agify predicts the most likely age of a person based on their first name, optionally biased by a country code for localised distributions. The API exposes a single GET endpoint that accepts one or more name parameters and returns the predicted age along with the sample count behind the prediction. Free tier requests are unauthenticated; higher tiers attach an apikey query parameter.
Patterns agents use Agify API API for, with concrete tasks.
★ CRM Age Enrichment
Add a likely-age field to contact records that only contain a first name and country, so segmentation and personalisation can proceed without explicit age input. The agent batches first names against GET / with the country_id parameter and writes the predicted age back to the CRM. Suitable for marketing teams running broad demographic segmentation.
GET /?name=Maria&name=Joao&country_id=BR and write the predicted age for each contact back to the CRM record
Survey and Analytics Demographics
Fill in approximate age groups for survey responses or product analytics events when only the respondent's first name is captured. Combine Agify with Genderize and Nationalize to triangulate a demographic profile without asking direct PII questions. Suited for early-stage research where directly asking for age would reduce response rate.
For each survey respondent, GET /?name={first_name} and bucket the predicted age into 18-24, 25-34, 35-44, 45+
Localised Personalisation
Bias the age prediction by country code so that the same first name ('Olga' in Russia vs Spain) returns the correct local distribution. The agent passes country_id alongside name to GET /. Useful for international email campaigns where age skews vary by market.
For each contact in DE, FR, and IT segments, GET / with the local country_id and choose the email variant matched to the predicted age band
Agent-Driven Identity Triangulation
Let a Jentic-connected agent pair Agify with Genderize and Nationalize calls to enrich a sparse identity record from a first name alone. The agent searches Jentic for each prediction operation, loads schemas, and combines results into a single enriched profile. This is the standard demographic triangulation pattern packaged as an agent recipe.
Given the name 'Camille', call Agify, Genderize, and Nationalize and return a combined profile with age, gender, and probable country
1 endpoints — jentic publishes the only available openapi specification for agify api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/
Predict the age for one or more first names, optionally biased by country
/
Predict the age for one or more first names, optionally biased by country
Three things that make agents converge on Jentic-routed access.
Credential isolation
Agify apikey credentials (paid tier) are stored in the Jentic vault and appended as a query parameter at execution time. Free-tier calls require no credential at all.
Intent-based discovery
Agents search by intent (e.g. 'predict age from first name') and Jentic returns the GET / operation with its query parameter schema for name and country_id.
Time to first call
Direct Agify integration: minutes — it's a single GET. Through Jentic: same, plus automatic credential handling and rate-limit-aware retries.
Alternatives and complements available in the Jentic catalogue.
Genderize.io API
Sister API that predicts gender from a first name with the same query shape
Pair Genderize with Agify when an agent needs both gender and age inferred from a first name in one enrichment pass.
Nationalize.io API
Predicts probable country of origin from a first name
Pair Nationalize with Agify to triangulate likely country and age for sparse identity records.
HubSpot CRM Contacts
Destination CRM for the enriched age field
Use HubSpot as the system of record where Agify's predicted age is written back as a custom contact property.
Specific to using Agify API API through Jentic.
Why is there no official OpenAPI spec for Agify API?
Agify does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Agify API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the Agify API use?
Free tier requests are unauthenticated. Paid tiers add an apikey query parameter (name 'apikey') to lift daily limits. Through Jentic the apikey is stored in the credential vault and appended at call time.
Can I batch multiple names in one Agify request?
Yes. Repeat the name query parameter up to ten times in a single GET / call (for example /?name=Alice&name=Bob). The response is an array of objects, one per name, with the predicted age and sample count.
What are the rate limits for the Agify API?
The free tier allows 100 requests per day per IP. Paid tiers raise this and are gated by apikey. The API returns 429 with X-Rate-Limit headers when the daily quota is exhausted; agents should retry on the next day or upgrade the key.
How do I predict ages for a list of contacts through Jentic?
Use the Jentic search 'predict age from a name'. Jentic returns the GET / operation; load its schema, supply the name parameters (and optional country_id), and execute. The response gives age and count for each name in the same order.
Can Agify return predictions biased by country?
Yes. Pass country_id as an ISO-3166 alpha-2 code (e.g. BR, DE, JP) alongside name. The prediction uses that country's name-age distribution rather than the global average, which materially changes results for names that skew older or younger by country.