ai.zerowidth/prism · v1.0.0 · docs-and-knowledge
ZeroWidth Prism is healthy: it completed an MCP handshake in 2972 ms and exposes 49 tools.
Explore ideas in Prism fields, run studies, and read research findings.
Endpoint: https://api.zerowidth.ai/mcp/x/prism (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 49 |
| Latency | 2972 ms |
| Last checked (UTC) | 2026-10-15T17:00:19.783Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T17:00:19.783Z | Healthy | 2972 | |
| 2026-10-14T16:30:49.788Z | Down | – | The operation was aborted due to timeout |
search_docs | Search ZeroWidth product documentation. Returns matching pages with title, slug, public URL, and a query-relevant snippet. Use this when the user asks about a ZeroWidth product (Compass, Workbench, Caliper, Prism, Ledger, Napkin, zv1), an API behavior, or a policy. No authentication required — the d |
get_doc | Fetch the full Markdown body of a specific docs page by its slug. Use this after `search_docs` when the user needs the complete content of a page. No authentication required. |
list_docs | Enumerate all available docs pages, optionally filtered by product (e.g. 'compass', 'legal', 'overview'). Use this to discover what slugs exist before calling `get_doc`. No authentication required. |
prism_fields_list | Lists Prism fields (idea-exploration canvases) in the active workspace: name, origin idea, node count. Fetch one with `prism_fields_get` for its nodes. |
prism_fields_get | One field's full tree: every node (id, parent, axis, description, pinned, color, whether it has an image / desk research) plus the AI-clustered groups. The origin node has parentId=null; children sit along named axes. Use node ids with the expand / research / study tools. |
research_findings_list | Cross-instrument findings for one subject (today: a Prism node) — attached feedback studies with response counts + theme counts, and whether desk research exists. (Interviews are study-level now — read them per study with prism_interviews_list.) THE PLACE TO LOOK before proposing new research: cite |
prism_fields_create | Creates a field from an origin idea — the seed of an exploration canvas. Counts against the workspace's field quota. May return `needs_confirmation` — tell the user what you're proposing and wait for approval. |
prism_nodes_expand | THE core Prism gesture: generate variations of a node along a named semantic axis ('more visceral', 'for the skeptic', 'stripped to essentials'…) in one of four directions. Runs generation against the workspace's inference credit. May return `needs_confirmation`. |
prism_nodes_update | Sets pinned state and/or the color tag on a node. Pins are the cross-field shortlist. May return `needs_confirmation`. |
prism_nodes_research | Web-sourced secondary research on a node's idea — market context with citations, stored on the node. depth 'thorough' runs three angled passes (market, evidence, shifts) at ~3× the credit. `focus` steers what it goes after; without one it answers a generic brief off the node's own description, so pa |
prism_studies_list | Feedback studies attached to one Prism node: title, question count, response count, open/closed. |
prism_studies_get | One study's questions, response count, open/closed state, and the STORED analysis (summary + themes with strength; insights.activeRun set = an analysis is running right now — wait for it before citing). participantUrl is the live share link to forward when the study is open and one has been minted. |
prism_studies_draft | Generates a short study (5-8 questions probing the node's problem space — respondents never see the idea itself) and creates it as a DRAFT. The user reviews, previews, and opens it for responses from the study page (or via prism_studies_update publish). Runs generation against inference credit. May |
prism_studies_draft_standalone | Generates and creates a DRAFT study that isn't tied to any canvas node — brand tracking, workspace-level research, anything you can describe in a sentence. It appears on Prism's Studies page; the user previews and opens it for responses there (or via prism_studies_update publish). Runs generation ag |
prism_studies_draft_from_interviews | Qual-first design: drafts a survey GROUNDED in the study's completed interviews — the recurring claims become measurable questions, the tensions become the choices, in the interviewees' own words. Replaces the study's current questions with the draft (nothing fields until publish). Needs at least on |
prism_studies_update | publish: true takes a draft live (one-way — the participant link starts working). closed toggles whether a live study accepts responses. Also edits the study: title, the `questions` instrument (whole replacement — read prism_studies_get first; LOCKED once responses exist, the server refuses with `in |
prism_studies_results | Everything the Results tab shows, as numbers you can trust without counting raw rows: fielding funnel (opens → starts → completes, median completion time, sources, per-question drop-off), per-question aggregates (scale distributions + means + NPS on 0–10, choice/multi counts, rank first-place + mean |
prism_research_digest | A cross-study digest: every study with responses — title, origin (standalone / canvas node / tracker wave), response count, latest analysis summary, top themes, and which insights were kept in Ledger. The starting point for 'what have we learned about X?' — follow up with prism_studies_get (insights |
prism_studies_report | An AI research analyst writes the report's narrative layer — executive summary, key findings with their numbers, recommendations — from the study's computed record (funnel, per-question aggregates, themes, quotes). Stored on the study; the printable report at the study page renders it above the char |
prism_series_list | Recurring research programs (ADR 0031): name, cadence, enabled state, next wave time, wave count, and the metric + score rule when the series posts readings. Waves themselves are ordinary studies. |
prism_series_launch_wave | CLOSES the current wave (no more responses; it scores and posts to Ledger if bound) and fields the next one from the series' frozen instrument, readying its participant link. Fielding spends credit for follow-ups, closing chats, and analysis, and closing a live wave can't be undone — say both plainl |
prism_interviews_list | The study's one-on-one qual conversations: guest, status, focus, and — once completed — the structured memo (summary, key claims, tensions, verbatim quotes). Raw transcript included only while no memo exists. inviteUrl is the link to forward for interviews still waiting on their guest. |
prism_studies_segments | The stored k-means segmentation over the study's numeric answers: named segments with size, share, and the distinguishing features (segment mean vs overall). Null when none computed yet — prism_studies_segments_compute discovers them (needs 30+ responses and 2+ numeric questions). |
prism_studies_cut | Server-computed banner cut with significance: a target question (scale/number → group means + NPS on 0–10; choice/multi → per-option shares) split by acquisition source or by any single-choice question, each group tested against its complement at 95% (Welch t / two-proportion z). vsRest says higher/ |
prism_studies_analyze | Kicks the theme analysis (incremental — reads only responses and interviews since the last run; the previous themes carry forward). Returns immediately with the run's phase; the run continues server-side, so wait a moment and re-read prism_studies_get — findings are fresh once its insights stop repo |
prism_interviews_create | Creates a one-on-one AI-led interview on a study and returns the invite link to forward — the guest needs no account. The transcript stays on the study and joins the next analysis run (it never lands in Compass). focusPrompt briefs the interviewer on what to dig into; omitted, it explores the study' |
prism_insights_promote | Promotes an analysis theme (or, with no themeId, the analysis summary) into the workspace's Ledger as a belief, carrying the supporting verbatims as evidence with links back to the study. THE step that turns a finding into workspace memory — use when the user says an insight matters. May return `nee |
prism_studies_segments_compute | Runs k-means over the study's numeric answers (silhouette-picked k) and names the discovered segments from their computed profiles. Needs 30+ responses and 2+ numeric questions; recompute overwrites. Runs naming against inference credit. May return `needs_confirmation`. |
prism_fields_update | Edits a field's name (null reverts to the origin idea), description, or visibility. Nodes are untouched. Field ids come from prism_fields_list. May return `needs_confirmation`. |
prism_fields_delete | Removes a field and its whole canvas (soft delete; frees the workspace's field quota). Use when the user is done with an exploration or one was created by mistake — studies attached to its nodes are not deleted. Field ids come from prism_fields_list. May return `needs_confirmation` — name the field |
prism_studies_list_workspace | All studies regardless of origin — standalone, canvas-node, and series waves — newest first: title, question count, response count, draft / live / closed state, and the field / node / series it hangs off. The starting point for 'which studies do we have?'; prism_studies_list is the per-node view, pr |
prism_studies_delete | Permanently deletes a study with its responses, interviews, analysis, and share links. Right for a draft that won't be fielded or a duplicate; for a live study the user just wants to stop, prefer prism_studies_update closed: true — that keeps the data. Study ids come from prism_studies_list_workspac |
prism_series_create | Creates a research program that fields the SAME instrument on a schedule — brand tracking, a weekly pulse — each wave an ordinary study. The questions freeze once the first wave fields (that's the trendline), so get them right with the user first. Optionally bind a Ledger metric + score rule so ever |
prism_series_update | Edits a series: `enabled: false` pauses the schedule (true resumes), interval / scheduleTime / scheduleTimezone / dayOfWeek move the cadence, name and follow-up / auto-analyze settings change any time. The instrument (questions, scorer) is editable only while no wave has fielded — after that the ser |
prism_panels_draft | Turns a plain description of an audience ("100 Midwest senior citizens") into a panel spec: filters on Census and General Social Survey fields, a size, and stated shares for traits with no data behind them (assumed). Saves nothing. Show the person the spec and assumedNotes, then pass the spec to pri |
prism_panels_list | Every synthetic panel the person can see: name, current version (people, status), runs so far, and fit (how far it sat from people the last time a study had both). Reuse an existing panel before drafting a new one. |
prism_panels_get | One panel with its current version and the share of people by every field (assumed fields flagged). Use it to confirm a draw looks like the audience the person meant. |
prism_panel_runs_estimate | What running a study against a panel would cost: people, model calls, and approximate dollars of workspace credit. Starts nothing. Tell the person the cost before calling prism_panels_run. |
prism_panel_runs_get | Status, progress, spend and the run's own analysis. For the numbers, call prism_studies_results with panelRunId. Synthetic answers are never people's: always say so when you report them. |
prism_panels_create | Saves a panel from a spec (usually from prism_panels_draft) and draws its people from population records in the background, which takes a few seconds. Visible to the workspace unless visibility is PRIVATE. May return `needs_confirmation`. |
prism_panels_run | Starts a background run: every person on the panel answers the study (or, for kind interview, sits with the study's interviewer). Spends workspace credit — give the person the estimate from prism_panel_runs_estimate first. Works on draft studies. Answers land as their own result set, labeled synthet |
prism_panel_runs_cancel | Stops a queued, running or paused panel run. Answers already in stay. May return `needs_confirmation`. |
comments_list | Lists the comment threads on one workspace entity (open first, then resolved) with authors and timestamps. Read this before weighing in on contested work — the threads are where disagreement lives before it becomes a decision. |
comments_create | Posts a comment on a workspace entity — a new thread, or a reply when rootId is given. Use it to leave findings where the discussion already lives (an eval result on the flow being debated, a summary on a long thread). Mention people via mentionedUserIds (from workspace member ids) to ring their not |
comments_resolve | Sets a comment thread's resolved state (rootId = the thread's root comment id). Resolve ONLY when the human asked or the thread's question is demonstrably settled — and say what settled it in a reply first. Reopening is for new evidence. |
search_workspace | Finds entities across every tool by name in one call — Workbench flows, Compass pages, Caliper datasets, evals, rubrics, reviews, specs and sources (apps sending agent traces), Ledger entries, Napkin sketches and decks. Use it FIRST when the user names something without saying where it lives ('the o |
entity_tags_get | Returns the tags on a batch of entities of one kind — the labels galleries organize by. Ids come from the kind's list/get tool or from search_workspace. Use it before entity_tags_set so you replace the full set knowingly, and to answer 'what is this filed under'. Entities the user can't see are omit |
entity_tags_browse | Without a tag: every tag in use across the workspace with how many entities carry it, most-used first — the vocabulary the team already organizes by. With a tag: everything filed under it across every tool, each with its kind, id, title, and path. Use it to reuse existing labels instead of inventing |
entity_tags_set | Replaces the FULL tag set on one entity (an empty list clears it). Read the current tags with entity_tags_get first and pass the merged list — this is not additive. Tags are lowercase letters, numbers, spaces, and hyphens; prefer labels already in use (entity_tags_browse) so the workspace's vocabula |