---
title: "Create School Alumni signal"
method: POST
path: "/api/v1/signals/school-alumni"
tags: ["Signals"]
---

# Create School Alumni signal

`POST /api/v1/signals/school-alumni`

## Request

- Base URL: `https://api.rodz.io` (the document declares no server; this is the origin it was published from)
- URL: `https://api.rodz.io/api/v1/signals/school-alumni`
- Auth: HTTP bearer

Reach the alumni of a school you or your buyers attended: a business school, an engineering school, a university. Each lead is a former student of the school, at the company they work at now, filtered to the roles and companies you target. Optionally keep only the people who studied there during the years you choose, for example your own class years.

**Input:** `schoolUrls` (1-10 LinkedIn school page URLs or numeric school ids, required to activate); `studyPeriod` (optional: keep only people who studied there in these years, `{"fromYear": 2010, "toYear": 2018}`, either bound may be omitted); `acceptUnknownStudyDates` (with `studyPeriod`: keep people whose profile gives no study dates for this school, `true` by default, or drop them with `false`); `frequency` (`continuous`, the default: deliver the matching people up to `dailyLeadLimit` a day, then keep delivering the new ones as they appear; `one_time`: deliver up to `oneTimeCount` people in total, then stop); `oneTimeCount` (with `one_time`: how many people to deliver, counted after your filters, 1-25,000, defaults to 500, still paced by `dailyLeadLimit`); optional persona targeting (`targetPersonas`, `customPersonaTitles`, `excludedTitles`); optional ICP filters on the person's current employer and location (`locations`, `excludedLocations`, `companySizeFilters`, `excludedCompanySizeFilters`, `allowUnknownCompanySize`, `industryFilters`, `excludedIndustryFilters`, `companyTypeFilters`, `excludedCompanyUrls`) - with no filter at all, every alumnus is delivered; optional enrichment toggles (`getEmails`, `getPhones`, `getSireneData`, `detectTechnologies`, `getHomepageContent`); `webhookUrl`, `dailyLeadLimit`, `duplicateHandling`, `status`. **3 credits per lead delivered.** Activating with `status: active` checks that at least one school page is set and that `studyPeriod` is valid, and answers 400 otherwise. This signal type is opened per account: an account it is not open to gets 400 `SIGNAL_INACTIVE`.

**Output:** each matching person is pushed to your `webhookUrl` as an enriched person lead: the contact (name, email if enriched, phone if enriched, title, location, LinkedIn profile URL, matched persona), their current employer (company name, website, LinkedIn URL, plus tech stack and homepage content when those enrichments are enabled), and in the `signal` block: `tracked_company` (the LinkedIn page of the school from `schoolUrls` the lead studied at), `affiliation_relation` (always `former`), `affiliation_name` (the school's name), and, when the signal has a `studyPeriod` and the profile gives them, `study_start_year` / `study_end_year`. `affiliation_started`, `affiliation_ended` and `overlap_months` are always null on this signal. Every key is always present, null when unknown.

**Use cases:**
- Shared-school openers - reach the alumni of a school you or your founders attended, and open with what you have in common.
- Buyer-school prospecting - target the schools your best buyers come from and reach the alumni in the same roles.
- Class-year campaigns - narrow to the years you studied there (`studyPeriod`) for an introduction between classmates.

## Request body

- object: Create a School Alumni signal.
  - `name` string, required: Name for this signal
  - `webhookUrl` string, nullable: Where each lead is POSTed as it is produced. Optional (since 2026-09-23): omit it when you read leads with GET /api/v1/signals/{signalId}/leads or route them to a connected CRM or sequencer with `destinations` on PATCH /api/v1/signals/{signalId}.
  - `config` SchoolAlumniConfig, required: Config for school_alumni: the former students of the schools you name. Your filters (personas, location, company size, industry, exclusions) apply on top. An optional study period keeps only people who studied there during those years.
    - `companySizeFilters` string[]: Company size filter. Values: "Self-employed", "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+". A company qualifies when its declared size band OR its employee count falls in a selected band; a count within 10% of a band edge counts for both neighbouring bands, and a company declaring 501+ employees is never placed in a smaller band by a low count. The delivered `employee_range` / `employee_count` are the pair the lead was judged on.
    - `targetPersonas` string[]: Filter by job-role persona (decision-maker targeting). Accepted values are the persona display names listed here; see GET /v1/personas for the full taxonomy with department, seniority and EN/FR job titles. Titles are matched by meaning, not as text: `targetPersonas` and `customPersonaTitles` form ONE list and a person qualifies by matching ANY entry. Each entry is read as a function plus a seniority level, in any language ("Directeur Commercial" satisfies "Sales Director", "Président" or "Directeur général" a CEO target), and a role at that level or above qualifies: a Director or Head target refuses a plain Manager; a founder running the company counts as CEO. A custom title carries the level its own words state; one with no level word accepts every level. Valid values: "Account Executive", "Account Manager", "Accountant", "Agency Director", "Business Analyst", "Business Developer", "Business Unit Director", "Buyer", "CEO", "CIO", "CSR Director", "CSR Manager", "CTO", "Communication Director", "Community Manager", "Content Manager", "Copywriter", "Creative Director", "Customer Success Director", "Customer Success Manager", "Customer Support Agent", "Cybersecurity Director", "Data Analyst", "Data Director", "Designer", "DevOps Engineer", "Digital Director", "Digital Project Manager", "Ecommerce Director", "Ecommerce Manager", "Engineering Manager", "Engineering Office Director", "Ergonomist", "Executive Assistant", "Finance Director", "Finance Manager", "GTM Director", "GTM Manager", "Growth Director", "Growth Manager", "HR Assistant", "HR Development", "HR Director", "Happiness Manager", "IT Project Manager", "Industrial Director", "Innovation Director", "Lab Manager", "Legal Counsel", "Legal Director", "Legal Manager", "Logistics Coordinator", "Logistics Director", "M&A Director", "Marketing Director", "Marketing Manager", "Office Manager", "Omnichannel Director", "Operations Director", "Operations Manager", "Payroll Manager", "Payroll Officer", "Procurement Specialist", "Product Director", "Product Manager", "Project Manager", "Purchasing Director", "Purchasing Manager", "Quality Health and Safety", "Quality Manager", "Quality Technician", "R&D Director", "R&D Engineer", "R&D Manager", "Recruitment Manager", "Research Director", "Research Scientist", "SDR / BDR", "Sales Director", "Sales Manager", "Social Media Director", "Social Media Manager", "Software Engineer", "Supply Chain Director", "Support Director", "Support Manager", "Talent Acquisition", "Technical Director", "Training Director", "Training Officer", "Transformation Director", "UX Designer", "Warehouse Director", "Web Developer"
    - `locationFilter` string: Filter by location (e.g. 'France', 'Paris')
    - `locations` string[]: Target locations (e.g. ['France', 'Paris']). Applies to the PERSON's LinkedIn profile location, not the company's headquarters: a person in Paris working for a company headquartered abroad matches France. One matching entry is enough. Only fundraising and M&A signals filter on headquarters (`hqLocations`).
    - `excludedLocations` string[]: Locations to exclude from results
    - `industryFilters` string[]: Only return companies in these LinkedIn industries. Two kinds of value work: a single industry (e.g. 'Software Development') or a broad category that covers many (e.g. 'Technology and Media'). Matching is exact, so a near-miss like 'Software development' matches nothing and the signal quietly produces no leads. Empty = all industries. Call GET /api/v1/signals/industries for the valid list.
    - `companyTypeFilters` string[]: Only return companies of these legal/ownership types. Valid values: 'Privately Held', 'Public Company', 'Nonprofit', 'Educational Institution', 'Partnership', 'Sole Proprietorship', 'Government Agency', 'Self-Employed'. Empty = all types. A company whose type is unknown is KEPT, not dropped, so this narrows results only where the type is known.
    - `excludedIndustryFilters` string[]: LinkedIn industries to exclude. Same vocabulary as `industryFilters` (single industry or category name); an unrecognised value excludes nothing. Call GET /api/v1/signals/industries for the valid list.
    - `excludedCompanyUrls` string[]: LinkedIn company URLs to exclude from results
    - `excludedCompanySizeFilters` string[]: Company sizes to exclude from results
    - `customPersonaTitles` string[]: Custom free-text job titles to match in addition to predefined personas. Titles are matched by meaning, not as text: `targetPersonas` and `customPersonaTitles` form ONE list and a person qualifies by matching ANY entry. Each entry is read as a function plus a seniority level, in any language ("Directeur Commercial" satisfies "Sales Director", "Président" or "Directeur général" a CEO target), and a role at that level or above qualifies: a Director or Head target refuses a plain Manager; a founder running the company counts as CEO. A custom title carries the level its own words state; one with no level word accepts every level.
    - `excludedTitles` string[]: Job titles to exclude. Matched as whole words, case- and accent-insensitive: "intern" excludes "Intern" and "Interns", never "International"; a phrase matches the same words in the same order; end a word with * to match a prefix ("infirmi*" excludes "Infirmière").
    - `getEmails` boolean: Enable email enrichment (0.5 credit/lead, charged only on success)
    - `getPhones` boolean: Enable phone enrichment (5 credits/lead, charged only on success)
    - `getSireneData` boolean: Enrich with French SIRENE registry data (1 credit/lead, charged only on success)
    - `detectTechnologies` boolean: Detect technologies used on the company's public website (1 credit/lead, charged only on success)
    - `getHomepageContent` boolean: Fetch the company's homepage content (1 credit/lead, charged only on success)
    - `frequency` 'continuous' | 'one_time': `"continuous"`: deliver the matching people up to `dailyLeadLimit` a day, then keep delivering the new ones as they appear. `"one_time"`: deliver up to `oneTimeCount` people, then stop.
    - `oneTimeCount` integer: With `frequency` `"one_time"`: how many people to deliver in total, counted after your filters. Still paced by `dailyLeadLimit`.
    - `schoolUrls` string[]: LinkedIn school page URLs or numeric school ids, 1 to 10 (e.g. `"https://www.linkedin.com/school/kedge-business-school"`). Required to activate the signal.
    - `studyPeriod` object, nullable: Optional. Keep only people who studied there in these years: `{"fromYear": 2015, "toYear": 2020}` (either bound may be omitted).
    - `acceptUnknownStudyDates` boolean: With `studyPeriod`: keep people whose profile gives no study dates for this school (`true`, the default), or drop them (`false`).
  - `dailyLeadLimit` integer: Max leads per day. With `frequency` `one_time`, the total is `oneTimeCount`, still delivered at most `dailyLeadLimit` a day.
  - `duplicateHandling` string, nullable: Duplicate lead handling: 'refuse' (never accept), 'allow' (always accept), or 'Xd' (accept a duplicate after X days, e.g. '7d'). Optional — defaults to 'allow'.
  - `status` string, nullable: Initial status (default: draft). Accepts draft, active, or paused. If active, the config must name at least one page (at most 10) and any period must be valid, otherwise 400.

## Response `201`

Signal created

- object: A single signal: create, GET /signals/{id} and PATCH. It carries two fields the list does not. A customer reads their stored `config` back and assumes it is the one in force; on `job_changes` three fields were not (`maxJobAgeDays` 90 stored / 180 applied, `publishedDate` stored and never read, `allowUnknownCompanySize` true and applied false), with nothing anywhere saying so.
  - `id` string, required
  - `name` string, required
  - `status` string, required
  - `signalTypeId` string, required
  - `webhookUrl` string, nullable
  - `config` object, nullable: Signal-specific configuration
  - `dailyLeadLimit` integer, required
  - `leadsToday` integer, required
  - `leadsTotal` integer, required
  - `duplicateHandling` string, required: Duplicate lead handling: 'refuse' (never accept), 'allow' (always accept), or 'Xd' (accept after X days)
  - `createdAt` string, required
  - `updatedAt` string, required
  - `lastLeadAt` string, nullable
  - `applied` object: Settings this signal runs with where they differ from `config`, keyed like `config`. `{}` when every stored setting is applied as stored. A `null` value means the stored field is not used by this signal. Every entry is explained by a warning naming the same field.
  - `warnings` SignalConfigWarning[]: What you should know about this configuration: values applied differently from what is stored, and filter values that are probably not what you meant. Computed from the stored configuration, so they appear on GET as well as on create and update - a signal created before these fields existed reports them too. Never an error: the signal is created or updated regardless.
    - `code` string, required: Stable identifier. `VALUE_BELOW_MINIMUM` (a value under the documented minimum is applied as the minimum), `VALUE_ADJUSTED` (a value the search cannot use as written is applied as the nearest one it can, e.g. a `publishedDate` of 14d searches 15 days), `FIELD_NOT_USED` (a stored field this signal ignores), `UNKNOWN_SIZE_NOT_ACCEPTED`, `CATEGORY_WITH_OWN_INDUSTRIES` (a category listed together with industries it already covers), `UNKNOWN_INDUSTRY` (a value matching no published industry), `UNKNOWN_FIELD` (a config key this signal does not have), `UNKNOWN_TOOL` / `UNKNOWN_CATEGORY` (a tracked tool or category name that is not in the catalog of GET /api/v1/signals/technographic-tools; on a GMB Discovery signal, a `category` that is not a Google Maps category, so the signal matches no business), `UNKNOWN_CITY` (GMB Discovery: cities in `cities` that are not in the signal's `country` — `values` lists them; when none is, the signal matches no business until `cities` or `country` is changed; never an error, nothing stored is changed), `NO_FOLLOWER_SOURCE` (a Company Followers signal with no follower extraction set up yet, so it produces nothing), `DAILY_LIMIT_PENDING` (a job signal's `dailyLeadLimit` changed less than a day after its search was last rebuilt: the search keeps its previous volume until the time in `values`, while the leads delivered per day already follow the new limit), `WATCHED_LIST_EMPTY` (a watchlist reading its list from your CRM holds no company or person — the CRM is not connected, the list could not be read, or it is empty — so it produces nothing until the list fills; cleared on its own once it does), `QUOTE_REQUIRED` (an `active` Company Followers signal in `icp` mode whose follower extraction has not been priced and accepted, so it produces nothing yet: `values[0]` says why — `not_requested`, `awaiting_acceptance` (then `values[1]` is the quoted price in credits), `expired`, `declined`, `failed`, or, after an automatic quote, `auto_quote_refused` / `auto_accept_refused` (then `values[1]` is the error code); the message names the call to make — see POST /api/v1/signals/{signal_id}/extraction/quote; cleared once a quote is accepted), `WATCHED_LIST_IMPORTING` (a company watchlist whose HubSpot list is still being read: companies are added as they arrive; `values[0]` is the number of members read so far, `values[1]` the list id; cleared once the whole list is read), `MATCHING_CONFIRMATION_REQUIRED` (a New Decision Maker or Account watchlist whose companies must be matched to their LinkedIn company page before they can be watched, at a cost above the amount we match without asking: nothing is matched or charged until you confirm with POST /api/v1/watchlists/{signalId}/companies/confirm-matching; `values[0]` is the maximum cost, `values[1]` the number of companies to match; cleared once confirmed), `DESTINATION_UNAVAILABLE` (the outreach campaign this signal sends leads to cannot receive them — not found, archived, ended or without any step — so leads are not reaching it: `values[0]` is `campaign_not_found`, `campaign_archived`, `campaign_ended` or `campaign_no_steps`; cleared once a lead reaches the campaign or the signal's destination is changed), `DESTINATION_NEEDS_CONTACT` (the signal delivers companies with no contact and a destination in `destinations` only accepts people, so none of its leads reach that destination), `DESTINATION_SKIPS_COMPANY_ONLY` (some leads are companies with no contact, e.g. no one matching your personas was found, and a destination only accepts people), `DESTINATION_NEEDS_EMAIL` (a destination only accepts leads with an email and `getEmails` is off) — for these three, `values[0]` is the destination key in `destinations`, the next values are the fixes: `add_persona` (turn on `enablePersonaTargeting` with `targetPersonas`), `require_contact` (turn on `requireContact`), `add_company_destination` (add a destination that accepts companies: `hubspot`, `pipedrive`, `googleSheets` or `customWebhook`), `enable_email_finding` (turn on `getEmails`); severity `warning` when those leads reach no destination at all, `info` when another destination still receives them; never blocks the save; `COMPANY_PAGE_UNAVAILABLE` (a Company Followers signal whose extraction stopped because a page in `linkedinCompanyUrls` does not exist on LinkedIn: nothing was extracted or charged; `values` lists the pages; replace them with PATCH /api/v1/signals/{signal_id}, then start the extraction again; cleared once the pages are replaced or a new extraction runs), `COMPANY_PAGE_UNVERIFIED` (create / PATCH responses only: a page in `linkedinCompanyUrls` could not be verified at that moment and was accepted; `values` lists them — if one does not exist, its extraction stops without using credits and the signal carries `COMPANY_PAGE_UNAVAILABLE`).
    - `severity` string, required: `info`: nothing to do. `warning`: probably not what you meant.
    - `field` string, required: The `config` key concerned, camelCase (or `dailyLeadLimit`).
    - `message` string, required
    - `values` string[]: The offending values, when there are some.

## Other responses

- `400`: Invalid request: no LinkedIn school page when creating as active, an unrecognized location, or a signal type not available to this account
- `401`: Missing or invalid API key
- `402`: Account has no credits
- `422`: Validation Error
- `429`: Rate limit exceeded. Retry after the number of seconds in the `Retry-After` response header.

---

[API](https://skmtc.dev/rodz/apis/rodz-api.md) · [All operations](https://skmtc.dev/rodz/apis/rodz-api/llms.txt) · [OpenAPI document](https://skmtc.dev/rodz/apis/rodz-api/revisions/3003505ff896?raw)