# Person enrichment API: a full profile from an email or LinkedIn URL

Give your agent an email address or a LinkedIn URL and get back the person: current title, employer, seniority, location, work history. 54 tools do this through 鹦鹉AI, and they are not close on price. The same match costs 0 credits/success at one and about eighty times that at another, so what you are really choosing is how much a miss costs you.

## What is the best way to ask 鹦鹉AI?

Setup line (paste into any agent): `set up 鹦鹉AI — https://parrot.amorist.cn/llms.txt`

Then ask: "Using 鹦鹉AI, enrich these 20 LinkedIn URLs into a table: name, current title, company, seniority, location. Show me the price first, and skip anyone whose profile does not resolve."

- **Lead with your strongest key** Email beats LinkedIn URL beats name plus company. Give the best one you have.
- **Ask for the fields, get a table** Say which columns you want and the agent shapes the response.
- **Ask what a miss costs** Several tools bill nothing when the person does not resolve.
- **Re-run the doubtful rows** A second tool on the same person is one more call, not a second contract.

## Why go through 鹦鹉AI

- **No subscription, no seats** Charged per call. No card, no minimum; top up the prepaid balance.
- **Switch by changing a word** Another tool is a different word in the prompt, not a new integration.

Endpoints:

- `companyenrich.people.get` — A person record by CompanyEnrich id (people): https://parrot.amorist.cn/catalog/people
- `pdl.x.person-retrieve-by-id` — A person record by PDL id (people): https://parrot.amorist.cn/catalog/people
- `crunchbase.people.enrich` — A person's Crunchbase profile by permalink (people): https://parrot.amorist.cn/catalog/people
- `coresignal.people.enrich` — A person's full profile by LinkedIn URL or id (people): https://parrot.amorist.cn/catalog/people
- `aviato.people.enrich.bulk` — Bulk enrich people (people): https://parrot.amorist.cn/catalog/people
- `apollo.people.bulk_enrich` — Bulk-enrich up to 10 people by email, LinkedIn URL or name (people): https://parrot.amorist.cn/catalog/people
- `blitzapi.people.enrich` — Enrich a LinkedIn person (people): https://parrot.amorist.cn/catalog/people
- `sixtyfour.linkedin.enrich` — Enrich a LinkedIn profile (people): https://parrot.amorist.cn/catalog/people
- `datagma.people.enrich` — Enrich a person (people): https://parrot.amorist.cn/catalog/people
- `dropleads.people.enrich` — Enrich a person (people): https://parrot.amorist.cn/catalog/people
- `limadata.people.enrich` — Enrich a person (people): https://parrot.amorist.cn/catalog/people
- `prospeo.people.enrich` — Enrich a person (people): https://parrot.amorist.cn/catalog/people
- `oceanio.people.enrich` — Enrich a person — role, work history, skills, LinkedIn (people): https://parrot.amorist.cn/catalog/people
- `hunter.x.combined-find` — Enrich a person and their company by email (people): https://parrot.amorist.cn/catalog/people
- `tomba.people.enrich.combined` — Enrich a person and their company by email, in one call (people): https://parrot.amorist.cn/catalog/people
- `hunter.people.enrich` — Enrich a person by email — name, role, social profiles (people): https://parrot.amorist.cn/catalog/people
- `tomba.people.enrich` — Enrich a person by email — name, role, social profiles (people): https://parrot.amorist.cn/catalog/people
- `tomba.people.enrich.profile` — Enrich a person by email (Clearbit-shaped response) (people): https://parrot.amorist.cn/catalog/people
- `pdl.people.enrich` — Enrich a person by email, LinkedIn or name + company (people): https://parrot.amorist.cn/catalog/people
- `apollo.people.enrich` — Enrich a person by email, LinkedIn URL or name + company (people): https://parrot.amorist.cn/catalog/people
- `fiber-ai.people.enrich` — Enrich a person by LinkedIn URL, email or name (people): https://parrot.amorist.cn/catalog/people
- `diffbot.people.enrich` — Enrich a person by name, email or employer (people): https://parrot.amorist.cn/catalog/people
- `leadmagic.people.enrich` — Enrich a person by profile URL — role, work history (people): https://parrot.amorist.cn/catalog/people
- `icypeas.people.enrich` — Enrich a person by profile URL — roles, education (people): https://parrot.amorist.cn/catalog/people
- `aviato.people.enrich` — Enrich a person by profile URL or email (people): https://parrot.amorist.cn/catalog/people
- `blitzapi.people.phone.reverse` — Enrich a person from a US phone (people): https://parrot.amorist.cn/catalog/people
- `blitzapi.people.email.reverse` — Enrich a person from a work email (people): https://parrot.amorist.cn/catalog/people
- `getleadsio.people.enrich.from_linkedin` — Enrich one person from a LinkedIn URL (people): https://parrot.amorist.cn/catalog/people
- `getleadsio.people.enrich.from_email` — Enrich one person from a work email (people): https://parrot.amorist.cn/catalog/people
- `getleadsio.people.enrich.from_person` — Enrich one person from name and company (people): https://parrot.amorist.cn/catalog/people
- `crustdata.people.enrich` — Enrich people by profile URL or business email (people): https://parrot.amorist.cn/catalog/people
- `oceanio.people.enrich_bulk` — Enrich people in bulk (async, webhook) (people): https://parrot.amorist.cn/catalog/people
- `contactout.people.enrich` — Enrich person by identifiers (people): https://parrot.amorist.cn/catalog/people
- `moltsets.people.enrich.name` — Enrich person by name (people): https://parrot.amorist.cn/catalog/people
- `moltsets.people.enrich.email` — Enrich person from email (people): https://parrot.amorist.cn/catalog/people
- `moltsets.people.enrich.linkedin` — Enrich person from profile (people): https://parrot.amorist.cn/catalog/people
- `contactout.people.enrich.personal_email` — Enrich person with personal email (people): https://parrot.amorist.cn/catalog/people
- `contactout.people.enrich.work_email` — Enrich person with work email (people): https://parrot.amorist.cn/catalog/people
- `contactout.people.email.enrich` — Enrich profile from email (people): https://parrot.amorist.cn/catalog/people
- `oceanio.people.lookup_bulk` — Enrich up to 1,000 people by LinkedIn handle in one call (people): https://parrot.amorist.cn/catalog/people
- `icypeas.scrape.bulk` — Enrich up to 50 profiles or companies by URL in one call (people): https://parrot.amorist.cn/catalog/people
- `quickenrich.people.enrich` — Find a person from an email (people): https://parrot.amorist.cn/catalog/people
- `lusha.people.enrich` — Find a person's work email and phone by LinkedIn or name (people): https://parrot.amorist.cn/catalog/people
- `sixtyfour.people.phone.reverse` — Identify a person from a phone number (people): https://parrot.amorist.cn/catalog/people
- `sixtyfour.people.email.reverse` — Identify a person from an email (people): https://parrot.amorist.cn/catalog/people
- `enrichlayer.person.profile` — Person profile (people): https://parrot.amorist.cn/catalog/people
- `pdl.x.person-enrich-preview` — Preview a person enrichment by email, name or phone (people): https://parrot.amorist.cn/catalog/people
- `sixtyfour.people.intelligence.start` — Research a person (people): https://parrot.amorist.cn/catalog/people
- `lusha.people.contacts.enrich` — Reveal emails and phone numbers for found contact ids (people): https://parrot.amorist.cn/catalog/people
- `hunter.x.multi-domain-search-reveal` — Reveal emails from a multi-domain search (people): https://parrot.amorist.cn/catalog/people
- `companyenrich.people.lookup` — Reverse email lookup — who is behind this address (people): https://parrot.amorist.cn/catalog/people
- `aiark.people.enrich` — Reverse lookup a person (people): https://parrot.amorist.cn/catalog/people
- `wiza.people.reveal.start` — Start an individual reveal (people): https://parrot.amorist.cn/catalog/people
- `pdl.x.person-retrieve-bulk` — Up to 100 person records by PDL id in one call (people): https://parrot.amorist.cn/catalog/people

## What people actually struggle with

Enrichment is bought on accuracy claims and judged on what happens six weeks later. From ~180 Reddit and X posts in August 2026, with two large astroturf rings excluded, these are the complaints that recur.

**The record is right when you buy it and wrong when you use it**

> "within weeks everything starts falling apart, emails bounce, titles are wrong, half the people moved companies" (r/SalesOperations, 17 points: https://www.reddit.com/r/SalesOperations/comments/1pph89g/crm_data_enrichment_was_60_garbage_after_3_months/)

What this page can do about it: Nothing here stops decay. What per-call pricing changes is that re-checking a doubtful row costs under one credit instead of another annual contract, so you can enrich close to the moment you act instead of once a quarter.

**Verified does not mean deliverable**

> "data accuracy is all over the place. we're seeing high bounce rates even with their “verified” emails" (r/CRM: https://www.reddit.com/r/CRM/comments/1svj17o/zoominfo_vs_cognism_vs_apollo_which_one_and_why/)

What this page can do about it: This page prints no tool's accuracy claim, because none of them are measured the same way. Treat enrichment and verification as two steps: enrich, then run the address through a verifier before you send.

**You pay for the blanks**

> "You pay for the data you ASK for, and a big chunk comes back empty or already dead." (r/b2b_sales: https://www.reddit.com/r/b2b_sales/comments/1uhqtas/i_compared_how_data_enrichment_tools_actually/)

What this page can do about it: Worth checking per tool, because they differ in whether a miss is billed.

**Nobody can check an accuracy claim before signing**

> "Every tool claims it resolves almost every domain. That spread is not a buying signal." (r/gtmengineering: https://www.reddit.com/r/gtmengineering/comments/1vl0kht/independent_open_source_benchmark_of_company/)

What this page can do about it: Agreed, which is why the honest test is your own list. Running 200 of your real contacts through three tools costs a few hundred credits here and answers the question for your data rather than someone's benchmark.

## What actually differs

- The price spread is the story: the same job runs from under one credit to about 33 credits a record. The dear end buys either phone numbers (Lusha's direct dials) or breadth of coverage (People Data Labs), not better titles. Decide which you are paying for.
- Several tools offer a bulk route at a different rate: Ocean.io's bulk lookup is half the price of its single enrichment and answers synchronously, while its batch enrichment is asynchronous and returns to a webhook. For fewer than a thousand people the cheap synchronous route is usually the right one.

## What is a person enrichment API?

It takes one identifier you already have, usually a work email or a LinkedIn profile URL, and returns the structured record behind it: name, current job title, employer, seniority, department, location and often the full work history. It is the step between knowing someone exists and knowing whether they are worth contacting.

## Before you start

**What can I use as input?** A work email or a LinkedIn profile URL works everywhere. Some tools also take a name plus a company domain, and People Data Labs will accept a name with a location. Ask the agent which input a given tool takes.

**Do I pay when the person is not found?** It depends on the tool, and it is the most useful thing to check. Some tools charge only when a complete record comes back; others bill the attempt.

**Why is one tool eighty times the price of another?** The expensive end sells either phone numbers or coverage breadth. If you do not need direct dials, the cheap end returns the same title and employer.

**Is enrichment the same as finding an email?** No. Enrichment starts from an identifier you already have and fills in the profile; finding an email starts from a name and a company and resolves the address. They are separate jobs and separate prices.

HTML version: https://parrot.amorist.cn/use-cases/enrich-a-person