Pipecorn
B2B sales intelligence
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Pipecorn helps sales teams find and research companies, identify LinkedIn leads, enrich business contact details, organize Sales Navigator lists, and manage target personas.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-09-23
- Tool count
- 38
- Geography
- US
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Competitive lineup
38 tools agents can invoke
Add companies to an existing Sales Navigator list. Companies are appended — existing ones are not removed.
update_list
Create a new company list and push companies into it on LinkedIn Sales Navigator.
create_list
Create a new persona with job titles, industries, locations, and company size filters. IMPORTANT: Do NOT call this tool without first asking the user in a separate turn: 'Do you want AI to expand job titles? (ai_expand_job_titles)'
create_persona
Delete a persona by its UUID.
delete_persona
Enrich a company with firmographic data (industry, size, revenue, LinkedIn URL, headquarters...), from the Pipecorn database by default or live LinkedIn when live:true. Costs 1 enrichment credit when a company is resolved; a lookup with no match costs nothing. Provide at least one of: company_linkedin_url, name, or domain. If the database has no match, retry the same call with live:true before telling the user the company was not found.
enrich_account
Enrich multiple contacts with email or phone number (min 2, max 100). Each successfully resolved email costs 3 enrichment credits and each successfully resolved phone costs 30; unresolved data costs nothing. Use this whenever you have 2 or more contacts to enrich — never call single_enrich_contact in a loop or in parallel when you have multiple contacts. Returns a job_id — poll get_job_result every 5s until status is 'completed'.
bulk_enrich_contacts
Enrich a single contact with email and/or phone. A successfully resolved email costs 3 enrichment credits and a successfully resolved phone costs 30; unresolved data costs nothing. Returns an enrichment_id and a status: when status is 'finished' the email and phone are already in the response; when it is 'pending', poll get_contact_enrichment with that enrichment_id until it turns 'finished'. Only use this for exactly 1 contact — use bulk_enrich_contacts for 2 or more contacts. Only call this if the contact does not already have the requested data from get_search results. Use enrichment_type ['email', 'phone'] to get both at once. For email enrichment, domain or company_name is required. For phone enrichment, linkedin_url is required.
single_enrich_contact
Extract leads from a LinkedIn Sales Navigator URL provided directly by the user from their browser. Consumes the daily profile-extraction plan quota for profiles extracted; consumed quota cannot be restored before its scheduled reset. Never construct this URL yourself. Returns a search id — use get_search to poll until status is 'finished'.
search_leads
Extract recent posts from a LinkedIn profile or company page.
extract_posts
Extract comments made by a LinkedIn member.
extract_comments
Extract people (leads) who reacted or commented on a LinkedIn post. Consumes the daily profile-extraction plan quota for profiles extracted; consumed quota cannot be restored before its scheduled reset. Returns a job_id — poll get_job_result every 5s until status is 'completed'.
extract_post_engagers
Extract posts that a LinkedIn member has reacted to.
extract_reactions
Search for LinkedIn industry IDs by name. ALWAYS call this before advanced_search_leads when the user mentions an industry — never guess industry IDs.
search_industries
Search for leads at a specific company using filters. Consumes the daily profile-extraction plan quota for profiles extracted; consumed quota cannot be restored before its scheduled reset. First call enrich_account to get company_linkedin_id, then use it here with filters. job_titles is required — if the user doesn't specify any job title, pass [""] to return all employees. name is optional: when omitted, the search is named after the company and today's date. Returns a search id — use get_search to poll until status is 'finished'.
search_leads_in_company
Resolve a location name (city, region, country) into location IDs. ALWAYS call this before search_accounts/search_leads when the user mentions a location — never guess or hardcode location IDs. The source must match the search mode: 'database' is the default and matches searches run with the default live:false; only pass source 'live' when the search itself runs with live:true. Geo IDs are not interchangeable — a mismatch returns zero results without an error. Pass exactly one plain location name per call (e.g. 'Paris', not a URL or comma-separated list). Returns an array of {name,id}; pick the best match by the human-readable name.
search_locations
Find companies similar to one or more reference companies, using the Pipecorn database by default or live LinkedIn Sales Navigator when live:true. Consumes the daily and monthly company-import plan quotas for companies imported; consumed quota cannot be restored before its scheduled reset. If no reference company is found in the database, retry the same call with live:true. Pass company_linkedin_url for a single reference, or company_linkedin_urls (up to 3) for multiple. Returns a job_id — poll get_job_result every 5s until status is 'completed'.
find_lookalike_companies
Find mutual 1st-degree LinkedIn connections between the authenticated user and a target LinkedIn profile. Requires the user to have a LinkedIn Sales Navigator account connected. Returns a list of connections with their name, current position, and LinkedIn URLs.
find_connections
Resolve a technology name into its Pipecorn technology slug. ALWAYS call this before using a technology in a tech-stack filter — never guess or hardcode a slug. Pass exactly one plain technology name per call (e.g. 'hubspot', not a comma-separated list). Returns {technologies:[{slug,name,category,logo,description}]}; pick the best match by the human-readable name and category. Free — costs no credits. Do not confuse this with get_company_stack, which does the opposite: it takes a company and returns the technologies detected on it (3 credits).
search_technologies
Get the connected account's email, plan, and integration status (integrations.linkedin_session_valid, integrations.sales_navigator_session_valid). Searches run on the Pipecorn database by default and need none of this. Call it only when the user asks for a live Sales Navigator search: if sales_navigator_session_valid is false, tell them their Sales Navigator isn't synced and that you can search the Pipecorn database instead.
get_account_status
Get active job openings for a company. Returns job title, URL, location, employment type, date posted, description, and hiring team members with their LinkedIn profiles. Costs 1 enrichment credit per job returned; a lookup with no results costs nothing. Provide at least one of: company_domain, company_name, or company_linkedin_url.
get_company_hiring
Get the technology stack of a company (list of tools/technologies detected). Costs 3 credits per request. Provide at least one of: company_domain, company_name, or company_linkedin_url.
get_company_stack
Get the enrichment result for a contact by its enrichment_id. Poll until status is 'finished' to get the email or phone.
get_contact_enrichment
Get remaining Pipecorn credits and plan quotas
get_credits
Get department headcount evolution (3-month, 6-month, 12-month) for a company. Requires the LinkedIn company ID (e.g. '1818', extractable from the company LinkedIn URL). Optionally filter by specific departments; omit to get all departments.
get_headcount
Wait for the result of an async job (search_accounts, advanced_search_leads, etc.). Call this ONCE — it handles retries internally with exponential backoff and waits up to ~2 minutes. Returns 'completed' with data when done, or 'timed_out' if the job didn't finish in time. Do NOT call it in a loop yourself.
get_job_result
Get the status and results of a lead search by its id. Poll until status is 'finished'. Polling strategy: exponential backoff — wait 2s, then 4s, 8s, 16s, 32s, 64s between each attempt. After the 64s attempt, if still not finished, stop and tell the user to ask you to check again in a few minutes. IMPORTANT: leads in the results may already have email and phone fields populated — always check these fields before calling single_enrich_contact.
get_search
Retrieve the full contents of a list (companies or leads) by its UUID. This is the only tool that returns the actual entries inside a list — always use this after get_lists to access list contents.
get_list
Retrieve a single persona by its UUID.
get_persona
Import companies that use a given set of technologies (tech-stack intent search). Returns a job_id immediately — poll get_job_result every 5s until status is 'completed'. MANDATORY — you MUST call preview_search_accounts_by_stack first with the same filters, show the user the total_count and sample companies, and wait for their explicit confirmation before calling this tool. MANDATORY — this costs 3 enrichment credits per company actually imported. Before calling, compute limit x 3 credits and announce it as the maximum possible cost (e.g. limit=200 → up to 600 credits). If you are unsure the balance covers it, call get_credits first and warn the user. ALWAYS resolve every technology name to a slug with search_technologies before filling stacks or excluded_stacks — never guess or hardcode a slug. The countries filter takes two-letter ISO country codes (e.g. ['US', 'FR']), NOT location IDs — do NOT call search_locations for this tool. Use search_industries for included_industries / excluded_industries.
search_accounts_by_stack
Retrieve all lead searches. By default returns all searches. Set only_enriched=true to return only completed enriched searches.
get_searches
Retrieve all personas defined in the Pipecorn account.
list_personas
Retrieve all Sales Navigator lists (companies or leads) with their UUIDs. To fetch the full contents of a specific list, take its UUID and call get_list.
get_lists
Preview the results of a company search before launching it. Returns total_count (estimated matching companies) and up to 25 sample accounts. ALWAYS call this tool first before search_accounts — show the total_count and sample accounts to the user, then ask for explicit confirmation before proceeding with the actual search.
preview_search_accounts
Preview the results of an advanced lead search before launching it. Returns total_count (estimated matching profiles) and up to 25 sample leads. ALWAYS call this tool first before advanced_search_leads — show the total_count and sample leads to the user, then ask for explicit confirmation before proceeding with the actual search.
preview_advanced_search_leads
Preview which companies use a given set of technologies, before importing any of them. Free — costs no credits. Returns total_count (exact number of matching companies) and up to 25 sample companies with the technologies detected on each. ALWAYS call this tool first before search_accounts_by_stack — show the total_count and sample companies to the user, then ask for explicit confirmation before proceeding with the actual import. ALWAYS resolve technology names to slugs with search_technologies first — never guess a slug.
preview_search_accounts_by_stack
Search companies by filters (industry, location, size, revenue, keyword), using the Pipecorn database by default or live LinkedIn Sales Navigator when live:true. Starts an import job that consumes the daily and monthly company-import plan quotas for companies imported; consumed quota cannot be restored before its scheduled reset. Returns a job_id immediately — poll get_job_result every 5s until status is 'completed'. Use search_locations to get location IDs before filtering by location. MANDATORY — you MUST call preview_search_accounts first with the same filters, show the user the total_count and sample accounts, and wait for their explicit confirmation before calling this tool. IMPORTANT — keyword validation workflow (mandatory when the user provides a natural-language keyword): 1. Expand the keyword into a boolean query with synonyms and related terms using OR operators. Example: user says "outbound agency" → keyword becomes ("outbound" OR "prospecting" OR "prospection" OR "cold outreach" OR "lead generation") AND ("agency" OR "agencies" OR "agence" OR "cabinet"). 2. Show the proposed boolean query to the user in a clear, readable format. 3. Explicitly ask: "Does this keyword look good? You can edit it before I launch the search." 4. Wait for the user's confirmation or edited version before calling this tool. Never skip this confirmation step when a keyword is involved. MANDATORY — before calling this tool, estimate the duration based on the limit parameter and tell the user: ~(limit / 1000 * 10) minutes, minimum 1 minute. Example: limit=100 → ~1 minute, limit=500 → ~5 minutes. Always announce this to the user before calling the tool.
search_accounts
Search for leads using advanced filters (job titles, locations, seniority, company size, industries, signals...), using the Pipecorn lead database by default or live LinkedIn Sales Navigator when live:true. Consumes the daily profile-extraction plan quota for profiles extracted; consumed quota cannot be restored before its scheduled reset. Returns a job_id — poll get_job_result every 5s until status is 'completed'. Use search_locations to get location IDs, get_lists for account/lead list UUIDs. MANDATORY — you MUST call preview_advanced_search_leads first with the same filters, show the user the total_count and sample leads, and wait for their explicit confirmation before calling this tool. Also estimate the duration based on the limit parameter: ~(limit / 2500 * 10) minutes, minimum 1 minute.
advanced_search_leads
Update an existing persona's filters (job titles, industries, locations, company size). IMPORTANT: Do NOT call this tool without first asking the user in a separate turn: 'Do you want AI to expand job titles? (ai_expand_job_titles)'
update_persona
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.