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Search Surveys

Retrieve a paginated list of surveys available to the configured read-only service account. Use this tool first to find the survey that best matches the user's request before calling another tool for details or data. This metadata search supports open and closed surveys. Closed-survey data access must still go through survey_id tools after discovery.

Get Project Activity Dashboard

Return a manager-oriented activity dashboard for projects using bounded timeline windows. This tool is optimized for identifying ongoing, active, or stalled surveys without reading row-level details. Prefer this tool over checking surveys one by one. If the client supports parallel tool calls and you still need follow-up inspection, fetch independent surveys in parallel. If a user requests a specific task profile status but may later want overall comparison, ask whether to retrieve all statuses

Get Top Active Projects

Return the most active surveys for a given day using timeline-derived activity counts. Use this before survey-by-survey probing when the goal is to identify which projects deserve follow-up.

Get Inactive Projects

Return surveys that have no activity in the requested inactivity window, based on timeline data. This is useful for identifying ongoing projects that may need operational attention. Use this before checking individual quiet surveys one by one.

Get Survey Definition

Retrieve survey metadata and the question structure for a specific survey. Use this to understand which questions exist before requesting detailed rows or aggregates. Each question includes a label field (for example Q10), a type_name field, and a question_i18n object for the survey's defined languages. For codeable question types (single/multi choice, ranking, matrix), each question includes a choices_i18n object that maps numeric codes to multi-language answer labels. Use this together with ge

Get Survey Rows

Retrieve paginated survey response rows for a specific survey over an explicit date_from/date_to range. Rows are derived from the readable timeline output and are already sanitized by the application before they are exposed here. Do not use this tool as the first choice for summaries, analysis, frequency tables, cross-tabulations, distributions, pivot analysis, coded data export, full data, or filtered full data. Use prepare_survey_data_file for those requests unless the user explicitly asks for

Get Survey Aggregates

Retrieve trend-ready aggregates for a survey using the same sanitized survey row source. This tool can summarize row counts by date, and it can also produce answer counts for a specific question when requested. Use this only for inline aggregate windows of 7 days or less. For last 30 days, 30-day windows, larger date ranges, full datasets, or filtered full datasets, use prepare_survey_data_file and analyze the downloaded CSV instead. Prefer this tool over row-level retrieval only when the questi

Get Survey Digest

Return the precomputed Fast-tier digest for one survey: the overview, per-question marginals (each closed question's option counts and percentages), and the standard banners (each closed question broken by region, gender, and age bucket). This is the primary Fast-mode answer source. The digest has three different pct denominators — read the field name, not just "pct", before quoting a number: each marginal option's "pct" is a share of the WHOLE sample (meta.sample_size), while its "pct_answered"

Get Question Summary

Make Fast digest coverage explicit and queryable for one survey. get_survey_digest's "marginals" is a byte-budget-packed subset — on a wide survey a closed question can be packed out of it entirely, and free-text/media questions are excluded from marginals by design. This tool answers about ANY indexed question, including ones absent from get_survey_digest's marginals, by computing directly from the same underlying per-respondent data the digest was built from. Call with NO "question" argument t

List Master Data

List the company's master data — products, brands, categories, merchandise, corporate products — and the corporates they are tagged with. Use this before authoring or editing a Yes/No (SKU) question upload, to resolve names to the exact ids the file's Id column expects, or to verify ids already in a file. Results are limited to what the calling account is allowed to see; an id that is out of scope simply does not appear. entity "corporate_product" is not available to a limited-access account.

Get Crosstab

Return a 2-way cross-tabulation (counts per cell) between two variables of one survey, computed from the precomputed Fast-tier digest matrix. Optionally restrict to one filter segment. Use this for arbitrary cross-cuts that the in-prompt survey digest does not already contain, for example "gender by region", "Brand-X awareness by age group", or "purchase frequency among weekly buyers". Each of question_a, question_b, and filter.question accepts ANY of: the "question_key" from get_survey_digest (

Prepare Survey Data File

Prepare a raw-data CSV file for all visible rows in a specific survey without returning the rows inline. Use this when the user asks for last 30 days, 30-day windows, larger date ranges, all data, no-limit rows, bulk export, frequency tables, cross-tabulations, distributions, pivot analysis, coded data export, or any filtered full dataset such as a profile_status slice. Use format=text for one readable CSV. Use format=code for two CSV files: a coded data CSV and a definition/codebook CSV. The to

Get Survey Data File Status

Check whether a previously requested MCP survey CSV export is ready. If status is processing, wait retry_after_seconds before polling again. If status is ready, use the returned authenticated download_url for text exports or files[] URLs for code exports instead of requesting row data inline. If direct URL download is blocked by the client environment, call read_survey_data_file to read the prepared CSV through MCP. If file reading still fails, use get_survey_rows only when it can cover the requ

Read Survey Data File

Returns ONE chunk of a prepared survey CSV export. This tool is a paginated reader, not a one-shot fetch. HEADER SHAPE: the "data" file starts with a 3-row header band — H1 is the question/block label, H2 is the option label, H3 is a sub-label (e.g. matrix row) — before any respondent row. This tool already consumes all 3 rows for you: they are returned once as header_bands (one array per header row, in H1/H2/H3 order) and, for convenience, flattened onto columns (H1). offset/limit/rows and eve