mcpField
C
cargo-segmentation

cargo-segmentation

github.com/getcargohqMarketing & growth216.3k installsUpdated 2d ago
Repository

About cargo-segmentation

cargo-segmentation is a skill for defining and managing saved audience filters in a Cargo workspace. It supports previewing audience size, tracking membership changes, and supplying segments to workflows, exports, and plays.

Key features

  1. 01Create and manage model-based segments
  2. 02Preview filters and count matching records
  3. 03Track added, updated, and removed records
  4. 04Fetch samples or download full datasets
  5. 05Use segments in plays, batches, and exports

Use cases

  1. 01Sizing an audience before a paid run
  2. 02Monitoring changes in a target audience
  3. 03Preparing a segment for workflow execution or export

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-segmentation

After installing, type/cargo-segmentationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

skill-metadata.json
references/
response-shapes.md
troubleshooting.md

Details

From the project README

Cargo CLI — Segmentation

Segments are the audience layer of a Cargo workspace: a named, saved filter over one model that answers "which records do I mean?" Everything downstream — a batch run, a play trigger, a CSV export, a change feed — takes a segment (or a segment-shaped filter) as its input.

See references/response-shapes.md for full JSON response structures. See references/troubleshooting.md for common errors and how to fix them. Filter condition kinds and operators live in ../cargo-orchestration/references/filter-syntax.md — the single source of truth for filter JSON.

Bootstrap

Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.

npm install -g @cargo-ai/cli            # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email [email protected]  # emailed code, no browser; creates the account on first use
                                        # alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami                         # confirm the active workspace before any write

Every command prints JSON to stdout; failures exit non-zero and print {"error": "...", "status": ..., "body": ...} to stderr. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. When the full skill bundle is installed, ../cargo/references/prerequisites.md adds the CLI version pin, token scopes, and the admin-only surface.

Key concepts

TermWhat it is
FilterA JSON object ({conjonction, groups[].conditions[]}) evaluated against one model's columns. Ephemeral on its own.
SegmentA filter saved with a name, a modelUuid, and a slug. Has a uuid, a live recordsCount, and a history. This is what plays, batches, and exports reference.
ChangeOne computed delta of a segment between two syncs — how many records were added, updated, removed, unchanged. The basis of every "notify me when someone enters this audience" motion.
Tracking columnsThe subset of columns (--tracking-column-slugs) whose value changes count as an updated record. Without them a record only ever registers as added or removed.

Filter vs segment — pick deliberately. A one-off question ("how many companies have >100 employees?") wants segment fetch with an inline filter and no saved object. An audience you will run something against, schedule against, or track over time wants a real segment create — because only a saved segment produces changes.

Discover resources first

Always list before creating. A workspace usually already holds the segment you are about to duplicate.

cargo-ai segmentation segment list                    # all segments (uuid, name, slug, modelUuid, recordsCount)
cargo-ai storage model list                           # find the modelUuid a segment must target
cargo-ai storage column list --model-uuid <uuid>      # the column slugs your filter conditions reference

Segments created automatically by a play are named GENERATED_PLAY_SEGMENT and carry fromPlay: true — never edit or remove those by hand; they belong to the play that owns them.

Retrieve in the UI: segments live under the model at app.getcargo.io/workspaces/<WORKSPACE_UUID>/models/<MODEL_UUID>. Get <WORKSPACE_UUID> from cargo-ai whoami.

Quick reference

cargo-ai segmentation segment list
cargo-ai segmentation segment get <segment-uuid>
cargo-ai segmentation segment create --name "<name>" --model-uuid <uuid> --filter '<json>'
cargo-ai segmentation segment update --uuid <segment-uuid> --filter '<json>'
cargo-ai segmentation segment remove <segment-uuid>
cargo-ai segmentation segment fetch    --model-uuid <uuid> --filter '<json>' --limit 50
cargo-ai segmentation segment download --model-uuid <uuid> --filter '<json>'
cargo-ai segmentation change list  --segment-uuid <segment-uuid>
cargo-ai segmentation change fetch --uuid <change-uuid> --kinds added --limit 50
cargo-ai segmentation record fetch --model-uuid <uuid> --ids <id[,id…]>

Building a filter

The full condition catalogue — every kind (string, number, date, boolean, array, object, objectProperty, any, vector, sql, segment, occurrence, enrollment) and every operator — is in ../cargo-orchestration/references/filter-syntax.md. The shape:

{
  "conjonction": "and",
  "groups": [
    {
      "conjonction": "and",
      "conditions": [
        { "kind": "number", "columnSlug": "employee_count", "operator": "greaterThan", "value": 100 },
        { "kind": "string", "columnSlug": "email", "operator": "isNotEmpty" }
      ]
    }
  ]
}

conjonction, not conjunction. The French spelling is intentional and required at both levels (the filter and every group): a misspelled key fails validation and the API returns a 400 naming conjonction. Grep your JSON for conjunction before every call.

Every group needs at least one condition. A group with "conditions": [] is rejected (Filter groups must contain at least one condition); match everything with "groups": [] instead.

Match-everything filter: {"conjonction":"and","groups":[]}.

Size the audience before you build it

Counting is free; running anything over an audience is not. Establish the size first, then decide.

# 1. How many records match? — inline filter, no saved object, 1 row back; read `count`
cargo-ai segmentation segment fetch \
  --model-uuid <uuid> \
  --filter '{"conjonction":"and","groups":[{"conjonction":"and","conditions":[
      {"kind":"number","columnSlug":"employee_count","operator":"greaterThan","value":100}]}]}' \
  --fetching-limit 1 --sync false --enrich false

# 2. Happy with the shape? Save it as the real audience.
cargo-ai segmentation segment create \
  --name "Mid-market accounts" \
  --model-uuid <uuid> \
  --filter '<same json>' \
  --column-slugs "name,domain,employee_count" \
  --tracking-column-slugs "employee_count,funding_stage"

segment fetch returns the match total as count (use --fetching-limit, not --limit: --limit caps membership, so --limit 1 reports a count of 1). segment get <uuid> then reports recordsCount — the authoritative size. Cite that number, not your own estimate, before proposing a paid run over the segment.

Fetch vs download vs record fetch

CommandReturnsUse for
segment fetch --model-uuid --filterRecords inline as JSON, paginated (--fetching-limit, --fetching-offset)Inspecting a handful of rows, counting, previewing a filter before saving it
segment download --model-uuid --filterSigned URLs (urls[]) to the full datasetHanding the whole audience to the user or another tool — see ../cargo-analytics/SKILL.md
record fetch --model-uuid --ids <ids>Specific records by idRe-reading rows a change feed just told you about

segment fetch refreshes the model before evaluating (--sync) and adds a _segments membership column (--enrich). Both default to on when omitted and cost time, so pass --sync false --enrich false for a size check.

Never page a large segment into the conversation. Use --limit 3 to see the shape, then download for the rest.

Changes — the delta feed

Every time a segment syncs, Cargo computes a change: how the membership moved. This is what turns a static list into a signal.

# What deltas exist for this segment?
cargo-ai segmentation change list --segment-uuid <segment-uuid>
# → { "changes": [ { "uuid", "totalRecordsCount", "addedRecordsCount",
#                    "updatedRecordsCount", "removedRecordsCount",
#                    "unchangedRecordsCount", "createdAt" } ] }

# Only the deltas where something entered (or moved, or left)
cargo-ai segmentation change list --segment-uuid <segment-uuid> --has-records added --limit 20

# One delta's counts, by its uuid → { "change": {...} }
cargo-ai segmentation change get <change-uuid>

# Which records actually entered the audience in that delta?
cargo-ai segmentation change fetch --uuid <change-uuid> --kinds added --limit 50

# The whole delta as files, when it is too big to page → { "urls": [...] }
cargo-ai segmentation change download --uuid <change-uuid> --kinds added,removed

--kinds is required on change fetch and takes added, updated, removed, or unchanged (comma-separated). Returned rows carry the _kind, _id, _title, and _time meta-columns alongside the model's own columns. change download returns signed URLs rather than rows, and takes the same four kinds (unchanged from CLI 1.0.128, cargo#6369; before it the API refused that one).

change list --not-empty keeps only the deltas where a record was added, updated or removed, and --has-records takes any of the four kinds. Both need CLI 1.0.128 (cargo#6369): before it the API answered --not-empty with a 400 (Unrecognized key: "notEmpty") and refused --has-records unchanged, so on an older CLI use --has-records <kind> to skip empty deltas.

updatedRecordsCount is always 0 unless the segment was created with --tracking-column-slugs — the tracked columns define what "updated" means. Set them at creation time when the segment is meant to feed a monitoring motion.

A segment's most recent delta is also inlined on segment list / segment get as lastChange, so a "what moved?" question rarely needs a second call.

What consumes a segment

Segments are an input, not an outcome. Once one exists:

Gotchas

  • conjonction, never conjunction — the call is rejected with a 400.
  • segment download takes --model-uuid, not --segment-uuid. The filter travels with the request; the segment UUID is not a valid input there.
  • change fetch needs --uuid (the change UUID) plus --kinds. Passing the segment UUID returns a 400.
  • change list needs --segment-uuid. Calling it bare returns a 400 complaining that segmentUuid is undefined.
  • --help on change and record subcommands prints the parent help rather than the subcommand's flags (CLI ≥ 1.0.48). Use the Quick reference above; file a report if it still bites.
  • A segment belongs to exactly one model. Cross-model audiences are a relationship + filter on the joined column, not two segments.
  • fromPlay: true segments are owned by a play. Editing one changes what that play targets; removing one breaks it.
  • --limit on a segment caps membership, it is not a display page size — --fetching-limit is the page size.

When the CLI fails

Two failed attempts on the same command, or behavior that contradicts this skill, goes to the team:

cargo-ai workspaceManagement report create \
  --title "<one-line summary>" \
  --description "<commands run, errorMessage verbatim, expected vs actual, UUIDs>"

Comments

Markdown supported