> ## Documentation Index > Fetch the complete documentation index at: https://docs.ziplined.io/llms.txt > Use this file to discover all available pages before exploring further. # Replace the ideal client profile > Changes the user's ideal client profile (ICP), which decides who counts as a lead. Replaces the ideal client: the include rules (who fits) and the exclude rules (who never fits). The rules cover job titles, seniorities, industries, company sizes, countries and more. A rule left out becomes empty, so start from get_icp and send back every rule you want to keep. Ziplined scores everyone again in the background. The answer gives the saved profile as a sentence, and how many people are a lead under it. It also gives the run that rescores them: poll it with refresh_data and its run_id. Costs no credits. Use when: After get_icp, when the user wants to change who counts as a lead. Do not use for: Only changing who never fits (use save_exclusions instead). Marking one person not a fit (use update_person instead). Rescoring without a change (use refresh_data instead). Example: {"include":{"seniorities":["C-Level","Founder"],"industries":["Software Development"],"countries":["NL"]},"exclude":{"job_titles":["recruiter"]}} ## OpenAPI ````yaml /openapi.json put /v1/icp openapi: 3.1.0 info: title: Ziplined API version: 1.0.0 description: >- LinkedIn engagement data about people, companies and posts. The workspace comes from the credential; lists page with `limit` and `cursor`. servers: - url: https://api.ziplined.io description: Production security: [] tags: - name: People description: The people in your workspace, and what you sent them. - name: Companies description: The companies those people work at. - name: Posts description: Your own posts and their numbers. - name: Engagements description: One act by one person on one post. - name: Insights description: Period against period, and the series behind it. - name: Views description: The saved views of the app, and who is in a hand-picked one. - name: Audiences description: The scored target groups, and their membership. - name: ICP description: 'Who you sell to: the rules every person is scored against.' - name: Sources description: What your radar collects from. - name: Account description: Who is asking, what is set up, and what is next. - name: Credits description: What is left to spend on sources, and when it resets. - name: Integrations description: 'Where syncs send people: webhook, email, Slack and app destinations.' paths: /v1/icp: put: tags: - ICP summary: Replace the ideal client profile description: >- Changes the user's ideal client profile (ICP), which decides who counts as a lead. Replaces the ideal client: the include rules (who fits) and the exclude rules (who never fits). The rules cover job titles, seniorities, industries, company sizes, countries and more. A rule left out becomes empty, so start from get_icp and send back every rule you want to keep. Ziplined scores everyone again in the background. The answer gives the saved profile as a sentence, and how many people are a lead under it. It also gives the run that rescores them: poll it with refresh_data and its run_id. Costs no credits. Use when: After get_icp, when the user wants to change who counts as a lead. Do not use for: Only changing who never fits (use save_exclusions instead). Marking one person not a fit (use update_person instead). Rescoring without a change (use refresh_data instead). Example: {"include":{"seniorities":["C-Level","Founder"],"industries":["Software Development"],"countries":["NL"]},"exclude":{"job_titles":["recruiter"]}} parameters: - schema: type: string minLength: 1 maxLength: 255 description: >- Any client-chosen key, a uuid for example. Sending the same request twice with the same key has one effect and returns the same response twice; the same key with a different body returns 409. example: 3f1b2c4d-5e6f-4a7b-8c9d-0e1f2a3b4c5d required: false description: >- Any client-chosen key, a uuid for example. Sending the same request twice with the same key has one effect and returns the same response twice; the same key with a different body returns 409. name: idempotency-key in: header requestBody: content: application/json: schema: type: object properties: include: type: object properties: job_titles: type: array items: type: string minLength: 1 maxItems: 200 description: >- Job-title fragments, case-insensitive, e.g. "head of marketing". seniorities: type: array items: type: string enum: - C-Level - Founder - Owner - VP - Director - Manager - Senior - Entry Level description: Seniority tiers, inferred from the job title. industries: type: array items: type: string minLength: 1 maxItems: 200 description: LinkedIn industry names, e.g. "Software Development". company_sizes: type: array items: type: object properties: min: type: integer minimum: 1 max: type: integer minimum: 1 required: - min - max additionalProperties: false description: >- An inclusive employee-count band, e.g. {min: 11, max: 50}. maxItems: 20 description: >- Company size bands. Ziplined scores this only after it enriches a profile. countries: type: array items: type: string maxItems: 250 description: ISO 3166-1 alpha-2 country codes, e.g. "NL". bio_keywords: type: array items: type: string minLength: 1 maxItems: 200 description: >- Fragments searched in job title, headline and About, e.g. "SaaS". skills: type: array items: type: string minLength: 1 maxItems: 200 description: >- Skill fragments. Ziplined scores this only after it enriches a profile. languages: type: array items: type: string minLength: 1 maxItems: 200 description: >- Language names, e.g. "Dutch". Ziplined scores this only after it enriches a profile. is_premium: type: boolean description: >- True ranks LinkedIn Premium members higher among the leads. False ignores it. min_followers: type: integer nullable: true minimum: 0 min_connections: type: integer nullable: true minimum: 0 default: {} additionalProperties: false description: Who fits. A field left out is empty ("any"). exclude: type: object properties: job_titles: type: array items: type: string minLength: 1 maxItems: 200 description: >- Job-title fragments, case-insensitive, e.g. "head of marketing". seniorities: type: array items: type: string enum: - C-Level - Founder - Owner - VP - Director - Manager - Senior - Entry Level description: Seniority tiers, inferred from the job title. industries: type: array items: type: string minLength: 1 maxItems: 200 description: LinkedIn industry names, e.g. "Software Development". company_sizes: type: array items: type: object properties: min: type: integer minimum: 1 max: type: integer minimum: 1 required: - min - max additionalProperties: false description: >- An inclusive employee-count band, e.g. {min: 11, max: 50}. maxItems: 20 description: >- Company size bands. Ziplined scores this only after it enriches a profile. countries: type: array items: type: string maxItems: 250 description: ISO 3166-1 alpha-2 country codes, e.g. "NL". bio_keywords: type: array items: type: string minLength: 1 maxItems: 200 description: >- Fragments searched in job title, headline and About, e.g. "SaaS". skills: type: array items: type: string minLength: 1 maxItems: 200 description: >- Skill fragments. Ziplined scores this only after it enriches a profile. languages: type: array items: type: string minLength: 1 maxItems: 200 description: >- Language names, e.g. "Dutch". Ziplined scores this only after it enriches a profile. default: {} additionalProperties: false description: Who never fits. A field left out is empty. responses: '200': description: The result content: application/json: schema: type: object properties: icp: type: object properties: is_set: type: boolean description: False when this workspace never saved an ICP. sentence: type: string nullable: true description: >- The ICP in one plain sentence, built from the rules below. Null when not set. include: type: object properties: job_titles: type: array items: type: string minLength: 1 maxItems: 200 description: >- Job-title fragments, case-insensitive, e.g. "head of marketing". seniorities: type: array items: type: string enum: - C-Level - Founder - Owner - VP - Director - Manager - Senior - Entry Level description: Seniority tiers, inferred from the job title. industries: type: array items: type: string minLength: 1 maxItems: 200 description: >- LinkedIn industry names, e.g. "Software Development". company_sizes: type: array items: type: object properties: min: type: integer minimum: 1 max: type: integer minimum: 1 required: - min - max additionalProperties: false description: >- An inclusive employee-count band, e.g. {min: 11, max: 50}. maxItems: 20 description: >- Company size bands. Ziplined scores this only after it enriches a profile. countries: type: array items: type: string maxItems: 250 description: ISO 3166-1 alpha-2 country codes, e.g. "NL". bio_keywords: type: array items: type: string minLength: 1 maxItems: 200 description: >- Fragments searched in job title, headline and About, e.g. "SaaS". skills: type: array items: type: string minLength: 1 maxItems: 200 description: >- Skill fragments. Ziplined scores this only after it enriches a profile. languages: type: array items: type: string minLength: 1 maxItems: 200 description: >- Language names, e.g. "Dutch". Ziplined scores this only after it enriches a profile. is_premium: type: boolean description: >- True ranks LinkedIn Premium members higher among the leads. False ignores it. min_followers: type: integer nullable: true minimum: 0 min_connections: type: integer nullable: true minimum: 0 required: - job_titles - seniorities - industries - company_sizes - countries - bio_keywords - skills - languages - is_premium - min_followers - min_connections additionalProperties: false description: Who fits. An empty list means "any". exclude: type: object properties: job_titles: type: array items: type: string minLength: 1 maxItems: 200 description: >- Job-title fragments, case-insensitive, e.g. "head of marketing". seniorities: type: array items: type: string enum: - C-Level - Founder - Owner - VP - Director - Manager - Senior - Entry Level description: Seniority tiers, inferred from the job title. industries: type: array items: type: string minLength: 1 maxItems: 200 description: >- LinkedIn industry names, e.g. "Software Development". company_sizes: type: array items: type: object properties: min: type: integer minimum: 1 max: type: integer minimum: 1 required: - min - max additionalProperties: false description: >- An inclusive employee-count band, e.g. {min: 11, max: 50}. maxItems: 20 description: >- Company size bands. Ziplined scores this only after it enriches a profile. countries: type: array items: type: string maxItems: 250 description: ISO 3166-1 alpha-2 country codes, e.g. "NL". bio_keywords: type: array items: type: string minLength: 1 maxItems: 200 description: >- Fragments searched in job title, headline and About, e.g. "SaaS". skills: type: array items: type: string minLength: 1 maxItems: 200 description: >- Skill fragments. Ziplined scores this only after it enriches a profile. languages: type: array items: type: string minLength: 1 maxItems: 200 description: >- Language names, e.g. "Dutch". Ziplined scores this only after it enriches a profile. required: - job_titles - seniorities - industries - company_sizes - countries - bio_keywords - skills - languages additionalProperties: false description: Who never fits, whatever else matches. required: - is_set - sentence - include - exclude additionalProperties: false impact: type: object properties: leads: type: integer description: >- How many people are a Lead under these rules: every filled-in part matches and no exclusion hits. The count leaves out people marked not a fit, and the people that the "Always left out" rules leave out. people: type: integer description: >- How many people the count looked at: every person in this workspace. That includes people marked not a fit and the people that the "Always left out" rules hide. So search_people with include all can return fewer people. summary: type: string required: - leads - people - summary additionalProperties: false description: >- A count from stored data, without scraping, by the same scorer the lists use. Lists update in the background. rescore_run_id: type: string nullable: true description: >- The run that rescores everyone; poll it with refresh_data run_id. app_url: type: string required: - icp - impact - rescore_run_id - app_url '400': description: A filter value is invalid, or this resource has no such filter. content: application/json: schema: $ref: '#/components/schemas/Error' '401': description: Missing or invalid bearer token. content: application/json: schema: $ref: '#/components/schemas/Error' '402': description: Not included in this plan, or a usage cap was exceeded. content: application/json: schema: $ref: '#/components/schemas/Error' '403': description: Wrong workspace, or the credential lacks the required scope. content: application/json: schema: $ref: '#/components/schemas/Error' '404': description: No such record, or it does not belong to this workspace. content: application/json: schema: $ref: '#/components/schemas/Error' '409': description: >- The same `Idempotency-Key` was used for a different request, or that request is still in flight. content: application/json: schema: $ref: '#/components/schemas/Error' security: - bearerAuth: [] components: schemas: Error: type: object properties: error: type: object properties: code: type: string message: type: string required: - code - message required: - error securitySchemes: bearerAuth: type: http scheme: bearer ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.