Four/Four Platform Help
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated platform knowledge.
-
What are you trying to do?
- A) Read/sync Insights, Topics, or Conversations via the OData REST API
- B) Push CRM accounts/contacts/opportunities in via the CRM Importer API
- C) Verify a signed webhook (HMAC-SHA256) and react to insight/conversation events
- D) Wire the MCP server into Claude / Cursor for natural-language Q&A
- E) Use the AI Analyst / Workflows to route insights to Slack/Jira/email
- F) Pick a plan (AI Analyst vs AI Researcher vs Enterprise) or understand usage limits -
API or no-code? Code → OData API + CRM Importer + signed webhooks. AI assistant → MCP server. No endpoint → native connectors / Zapier / visual Workflows.
Skip-ahead rule: if the user's prompt already provides enough context, skip to Step 2.
Step 2 — Route or answer directly
| If the question is about... | Route to... |
|---|---|
| Voice-of-customer / survey program strategy (NPS/CSAT/CES) across tools | /sales-customer-feedback {question} |
| Feedback boards / feature voting / public roadmap | /sales-frill {question} |
| Aggregating unsolicited feedback across reviews/social/support | /sales-noisely {question} |
| Account health / churn-prevention program strategy | /sales-customer-success {question} |
| Connecting Four/Four to a CRM/PM tool generically (iPaaS) | /sales-integration {question} |
When routing, give the exact command, e.g. "This is a strategy question — run: /sales-customer-feedback design a closed-loop VoC program".
Step 3 — Four/Four platform reference
Read references/platform-guide.md for the full reference — the Discovery/Validation/AI Analyst/Workflows/Competitive-Intelligence/Customer-Success module map (what's API vs webhook vs UI), plan tiers and usage limits, the Conversations→Insights→Topics→TopicModels data model, integrations by data-flow direction, and quick-start recipes.
Read references/fourfour-api-reference.md for the integration surface — OData base https://fourfour.ai/odata, OAuth2 authorization-code auth (/oauth/token, scope api:read, Bearer, 24h tokens), the entity sets (Insights/Topics/TopicModels/Conversations/Participants + CRM objects), OData query options ($select/$filter/$top/$skip/$expand, @odata.nextLink paging), the CRM Importer API (/import/crm/{type}, PAT bearer, CSV, async jobs), HMAC-SHA256-signed webhooks ({timestamp, event, tenant, payload}, Signature header, 3x retry), and the MCP server (fourfour.ai/mcp, OAuth discovery).
Answer using only the relevant section. Don't dump the full reference.
Step 4 — Actionable guidance
Focus on the user's specific situation:
- OAuth2 + Bearer for reads. Exchange the auth code at
/oauth/tokenfor a 24h Bearer token (scopeapi:read), refresh with therefresh_tokengrant. Keepclient_secretserver-side. Basic auth exists for BI tools but prefer OAuth for integrations. - OData paging is
@odata.nextLink. Page with$top/$skip; follow@odata.nextLinkuntil it's absent — don't assume one page is the full set. Use$filter(e.g.created ge {iso}) and$expandto shape the pull. - Writes go through the CRM Importer, not OData. The OData API is read-only; to push accounts/contacts/leads/opportunities/users use
PUT /import/crm/{type}with CSV (requiredidcolumn, ISO-8601 UTC dates). It's async — poll/import/job/{jobId}. - Verify webhooks (HMAC-SHA256). Compute
HMAC-SHA256(rawBody, secret), constant-time compare to theSignatureheader, ack 2xx fast (it retries 3x with backoff), dedupe onpayload.id+timestamp. - MCP for Claude/Cursor. Add
https://fourfour.ai/mcpas a remote MCP server; OAuth discovery handles auth and you get search tools over conversations/insights/accounts/contacts — no token plumbing. - It's VoC analysis, not a survey or feedback-board tool. Four/Four mines existing conversations into insights; it doesn't run NPS/CSAT survey programs (→
/sales-customer-feedback) or host a public feedback board (→/sales-frill).
If you discover a gotcha, workaround, or tip not covered in references/learnings.md, append it there.
Gotchas
> Best-effort from research (2026-06) — API captured from fourfour.ai/developers; pricing from fourfour.ai/pricing. Confirm in-account; the dev portal is JS-rendered so per-entity schemas may differ.
- OData API is read-only; writes use the CRM Importer. Don't try to POST/PATCH entities on
/odata— push CRM records viaPUT /import/crm/{type}(CSV) instead. - Follow
@odata.nextLink. Server-driven paging — a single response is not the whole collection. Loop onnextLinkuntil absent. - CRM Importer is asynchronous.
PUTreturns202+ ajobId; row-level errors only show up when you poll/import/job/{jobId}. A 202 is not a success confirmation. - Verify the webhook HMAC over raw bytes. Hash the raw request body (not a re-serialized one) with the secret; constant-time compare to the
Signatureheader. Wrong body bytes = signature mismatch. - Two different credentials. OData uses OAuth2 Bearer (
api:read); the CRM Importer uses a Personal Access Token. Don't mix them. - Plan gates: integrations are capped. 40+ integrations exist but entry plans (AI Analyst £199/mo, AI Researcher £250/mo) cap active integrations (~2) and processing hours (50 hrs/mo, 100 tickets/mo). Notetaker is AI Researcher+; unlimited hours and embedded CRM apps are Enterprise.
- Usage-based, not per-seat. You pay for content processed (hours/tickets), not seats — a big team on a small content volume can be cheap, and vice versa.
Related skills
/sales-customer-feedback— Voice-of-customer / survey-program strategy across tools (Four/Four is the conversation-mining option) — program design, metric selection, tool comparison/sales-frill— Feedback boards / feature voting / public roadmap (solicited board feedback vs Four/Four's conversation mining)/sales-noisely— AI aggregation of unsolicited feedback across reviews/social/support/sales-customer-success— Account-health / churn-prevention program strategy (Four/Four feeds the signals)/sales-integration— Connecting Four/Four to a CRM/PM tool via API/webhooks/Zapier/sales-do— Not sure which skill to use? The router matches any sales objective to the right skill. Install:npx skills add sales-skills/sales --skill sales-do -a claude-code
Examples
Example 1: Pull all of this quarter's insights into our warehouse (developer/automation)
User says: "How do I export every customer insight from Four/Four since April into BigQuery?"
Skill does: Shows the OData read flow — GET https://fourfour.ai/odata/Insights?$top=100&$filter=created ge 2026-04-01T00:00:00Z with Authorization header uses an OAuth access token from the approved secret store following **@odata.nextLink** until absent, then landing rows in the warehouse. Notes OAuth2 token (scopeapi:read, 24h) + refresh, and that$expand` can inline the linked account/topic. Points to a nightly full pull reconciled with webhooks for freshness.
Result: A complete, paginated insight export.
Example 2: Verify Four/Four webhooks so I can trust them
User says: "Four/Four is POSTing events to my endpoint — how do I make sure they're real?"
Skill does: Explains the HMAC-SHA256 check — compute hmac_sha256(rawBody, secret), constant-time compare to the Signature header, reject on mismatch. Notes the payload shape {timestamp, event, tenant, payload}, deduping on payload.id + timestamp, acking 2xx fast (it retries 3x with backoff), and that the secret comes from Settings → Connections → Webhooks.
Result: Authenticated, tamper-evident webhook intake.
Example 3: Four/Four vs a survey tool — which do I need?
User says: "We already record sales calls — should we use Four/Four or just send NPS surveys?"
Skill does: Frames the difference — Four/Four mines conversations you already have (calls/tickets/emails) into Insights/Topics with an AI Analyst and links them to deals, billed on content processed (no per-seat). A survey tool solicits structured NPS/CSAT. Recommends Four/Four when you have rich conversation data and want it queryable, and routes program/metric strategy: "run: /sales-customer-feedback choose between solicited surveys and conversation mining."
Result: A grounded build-vs-survey decision.
Troubleshooting
My OData export only returns the first batch of insights
Symptom: You get ~100 rows and think that's everything.
Cause: OData uses server-driven paging — the response carries an @odata.nextLink for the next page.
Solution: Read @odata.nextLink from each response and re-request it until it's absent (or page manually with $top/$skip). Accumulate across pages. Use $count to sanity-check the total.
My CRM import "succeeded" (202) but records aren't showing up
Symptom: PUT /import/crm/account returned 202 but data is missing or partial.
Cause: The Importer is asynchronous — 202 only means queued, and row-level failures surface in the job, not the initial response. Common causes: missing required id column, non-ISO-8601 dates, or wrong record type.
Solution: Poll GET /import/job/{jobId} until completed and check the errors count; fix the CSV (required id, ISO-8601 UTC dates, supported type: account/contact/lead/opportunity/user) and re-upsert.
My webhook signature check keeps failing
Symptom: The HMAC you compute doesn't match the Signature header.
Cause: Hashing a re-serialized body instead of the raw bytes, or using the wrong secret.
Solution: Compute HMAC-SHA256 over the raw request body with the webhook secret (Settings → Connections → Webhooks), then constant-time compare to the Signature header. Once verified, dedupe on payload.id + timestamp and ack 2xx quickly so Four/Four doesn't retry.
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