More filters

A lane’s basic filters (location, size, industries, seniority, titles) cover most audiences. More filters go further: about 40 fields about the person, their contact details and their company, combined with all (AND) and any (OR) groups. They’re applied on top of the lane’s other filters, to every count, sample and export. Like everything else before an export, they’re free.

In the dashboard

Open a lane, choose Edit filters, and scroll to More filters:

Add condition: pick a field, an operator and the values.
Add group: a nested group with its own All of these (AND) or Any of these (OR).
Save filters. The lane page lists them in plain words under Filters, and the funnel gets a + more filters step after the next check.

Over the API

Send conditions when you create or change a lane:

curl -X PATCH https://intentleads.si/api/v1/lanes/L1 \
  -H "Authorization: Bearer $INTENT_LEADS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "conditions": {
      "all": [
        {"field": "department_detail", "op": "any_of", "value": ["sales", "business development"]},
        {"any": [
          {"field": "naics", "op": "starts_with", "value": ["3391", "3345"]},
          {"field": "sic", "op": "any_of", "value": ["3841", "3845"]}
        ]},
        {"field": "revenue_range", "op": "any_of", "value": ["5 million to 10 million", "10 million to 25 million", "25 million to 50 million"]},
        {"field": "email_status", "op": "any_of", "value": ["valid"]}
      ]
    }
  }'

This keeps people in sales or business development, at companies with a medical-device NAICS or SIC code, with

5M to

50M revenue, whose email checked out as valid.

A group is {"all": [...]} or {"any": [...]}. Groups nest up to 3 levels deep.
A condition is {"field": "...", "op": "...", "value": ...}.
A bare list, like [{...}, {...}], is read as {"all": [...]}.
Send "conditions": null to remove them all.
The response has the stored filters.conditions and a plain-language filters.conditions_summary.

Counts update after the lane’s next check. To see them now, run one: POST /api/v1/lanes/L1/checks, or intentleads checks run --lane L1.

Operators

`op`	Value	Meaning
`any_of` / `none_of`	List	Matches one of the values / none of them.
`is` / `is_not`	List or one value	Exact match, ignoring case.
`contains` / `not_contains`	List	Contains any of the words / none of them.
`starts_with` / `ends_with`	List	Starts or ends with any of them.
`at_least` / `at_most`	Number	Numeric comparison.
`between`	`[min, max]`	Inclusive range.
`exists` / `missing`	None	The field has a value / has none.
`is` (flag fields)	`true` or `false`	Yes/no fields like `has_mobile`.

Text is matched without regard to case. Each field takes only some operators; the tables below and GET /api/v1/catalog (conditions.fields) list them.

Fields

Intent

Field	What it is	Operators	Values
`intent_score`	Intent score. 1 to 99: how strongly the person researched the topic, from their own last 14 days. Not a percentile. Strength bands follow it.	`at_least`, `at_most`, `between`	1 to 99

Role

Field	What it is	Operators	Values
`seniority`	Seniority	`any_of`, `none_of`	`cxo`, `vp`, `director`, `manager`, `staff`
`seniority_detail`	Seniority (detailed). Finer than Seniority: separates owners and partners from the C-suite.	`any_of`, `none_of`	`owner`, `partner`, `cxo`, `vice president`, `director`, `manager`, `senior individual contributor`, `entry`, `training`, `unpaid`
`seniority_as_listed`	Seniority as listed. The level as the person describes it, e.g. Founder or Head of.	`any_of`, `none_of`, `exists`	`owner`, `founder`, `partner`, `c_suite`, `vp`, `head`, `director`, `manager`, `senior`, `entry`, `intern`
`department`	Department	`any_of`, `none_of`	`sales`, `marketing`, `executive`, `operations`, `finance`, `engineering`, `information technology`, `product management`, `customer service`, `human resources`, `legal`, `administrative`, `education`, `healthcare services`, `media and communication`, `community and social services`
`department_detail`	Department (detailed). 26 departments, e.g. Business Development, Purchasing, Entrepreneurship.	`any_of`, `none_of`	`sales`, `business development`, `marketing`, `entrepreneurship`, `operations`, `purchasing`, `finance`, `accounting`, `consulting`, `engineering`, `information technology`, `product management`, `program and project management`, `quality assurance`, `research`, `support`, `human resources`, `legal`, `administrative`, `arts and design`, `education`, `healthcare services`, `media and communication`, `community and social services`, `military and protective services`, `real estate`
`job_title`	Job title. The title as the person wrote it. Not case-sensitive.	`contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`	Text
`standard_title`	Standard job title. The title cleaned up to a standard form, e.g. ‘vice president of sales’. Use contains for anything looser.	`any_of`, `none_of`, `contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`	Text
`job_function`	Job function. e.g. business_development, executive management.	`contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`, `missing`	Text
`subdepartment`	Sub-department	`contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`, `missing`	Text
`past_titles`	Past job titles. Any title the person held before.	`contains`, `not_contains`, `exists`, `missing`	Text
`headline`	Profile headline	`contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`	Text
`connections`	Professional connections	`any_of`, `none_of`, `exists`	`1-9`, `10-99`, `100-249`, `250-499`, `500+`

Where the person is

Field	What it is	Operators	Values
`person_state`	State (where the person lives)	`any_of`, `none_of`	US states: two-letter codes like `tx`
`person_city`	City (where the person lives)	`is`, `is_not`, `contains`, `not_contains`, `starts_with`, `exists`	Text
`person_zip`	ZIP code (where the person lives). starts_with matches a ZIP prefix, e.g. 100 for Manhattan.	`is`, `is_not`, `starts_with`, `exists`	Text
`person_country`	Country (where the person lives). Full country names, e.g. united states, canada.	`any_of`, `none_of`, `contains`, `exists`	Text
`outside_us`	Based outside the US	`is`	`true` or `false`

Contact details

Field	What it is	Operators	Values
`email_status`	Email check result. Of the person’s main email. People with no check result match neither any_of nor none_of, so pick the results you want.	`any_of`, `none_of`	`valid`, `catchall`, `unknown`, `invalid`
`work_email_status`	Work email check result	`any_of`, `none_of`	`valid`, `catchall`, `unknown`
`has_work_email`	Work email	`is`	`true` only
`main_email_is_work`	Main email is a work address	`is`	`true` or `false`
`has_mobile`	Mobile number	`is`	`true` or `false`
`callable_mobile`	Mobile not on do-not-call lists	`is`	`true` only
`has_direct_phone`	Direct phone	`is`	`true` or `false`
`has_phone`	Any phone for the person	`is`	`true` or `false`
`has_linkedin`	LinkedIn profile	`is`	`true` only
`b2b_profile`	Business profile	`is`	`true` or `false`

Company

Field	What it is	Operators	Values
`company_name`	Company name	`contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`	Text
`company_domain`	Company website. The bare domain, e.g. ends_with .io.	`contains`, `not_contains`, `is`, `is_not`, `starts_with`, `ends_with`, `exists`	Text
`industry`	Industry	`any_of`, `none_of`	346 values: see `GET /api/v1/catalog`
`naics`	NAICS code. 2 to 6 digits. 3391 matches every code under 3391 (medical equipment and supplies); a full 6-digit code matches only itself. Companies can have several codes; any of them counts.	`starts_with`, `exists`	2 to 6 digits
`sic`	SIC code. 4-digit codes, e.g. 3841. Companies can have several codes; any of them counts, and a code stored as 6 digits (384100) counts as its first 4.	`any_of`, `none_of`	4 digits
`company_description`	Company description. Words in the company’s own description, e.g. injection molding.	`contains`, `not_contains`, `exists`	Text
`employee_range`	Company size band. Use bands for large companies (e.g. 1,000+); the staff range in Companies is limited to 5,000 wide. Bands are recorded separately from exact staff counts, so a few companies’ counts fall just outside their band.	`any_of`, `none_of`	`1 to 10`, `11 to 25`, `26 to 50`, `51 to 100`, `101 to 250`, `251 to 500`, `501 to 1000`, `1001 to 5000`, `5001 to 10000`, `10000+`
`employees`	Staff (exact count). Between two numbers, at most 5,000 apart.	`between`, `exists`	1 to 100,000
`revenue_range`	Annual revenue	`any_of`, `none_of`	`under 1 million`, `1 million to 5 million`, `5 million to 10 million`, `10 million to 25 million`, `25 million to 50 million`, `50 million to 100 million`, `100 million to 250 million`, `250 million to 500 million`, `500 million to 1 billion`, `1 billion and over`
`company_state`	Company state (HQ)	`any_of`, `none_of`	US states: names like `texas`
`company_city`	Company city (HQ)	`is`, `is_not`, `contains`, `not_contains`, `starts_with`, `exists`	Text
`company_zip`	Company ZIP code (HQ)	`is`, `is_not`, `starts_with`, `exists`	Text
`company_country`	Company country (HQ). Full country names, e.g. united states, united kingdom.	`any_of`, `none_of`, `contains`, `exists`	Text
`has_company_linkedin`	Company LinkedIn page	`is`	`true` only

Good to know

Blanks. none_of, not_contains and is_not also leave out people with no value for that field. For example, “department is none of sales” drops people with no department too. To keep only the values you want, use any_of.
Industry codes. A company can have several NAICS or SIC codes; any of them counts. naics starts_with 3391 matches every code under 3391, and a full 6-digit code matches only itself. SIC codes stored with 6 digits (384100) match their 4-digit code.
Revenue is in bands (revenue_range). There’s no exact-revenue filter.
Company size. employees takes between, at most 5,000 apart. For bigger companies, use employee_range bands such as 1001 to 5000.
Keyword groups are set on keywords, not here. See Keyword groups.
Limits: up to 40 conditions per lane, 500 values for any_of / none_of, 50 for the text operators, and about 60 KB of values per lane in total. Past that, the API says so: use fewer values, a shorter NAICS prefix instead of many codes, or split them across lanes.

The CLI shows and sets them with intentleads lanes rules L1 and lists the fields with intentleads catalog fields. AI agents use update_lane with conditions (see MCP).

Get started

How it works

Your account

Tools

Reference

In the dashboard

Over the API

Operators

Fields

Intent

Role

Where the person is

Contact details

Company

Good to know

​In the dashboard

​Over the API

​Operators

​Fields

​Intent

​Role

​Where the person is

​Contact details

​Company

​Good to know

In the dashboard

Over the API

Operators

Fields

Intent

Role

Where the person is

Contact details

Company

Good to know