
Human Survey
io.github.sunsiyuan由 GitHub 帳號 sunsiyuan 發布v1.2.0更新於 Oct 24, 2026
Self-reported attribution: which channel and which creator your users first heard you from.
發布方自己的服務:TAP
概覽
HumanSurvey 的 MCP 伺服器,讓助理設定「你是怎麼知道我們的」歸因表單,並讀回回答與彙總資料。
- 可以做什麼
- 建立並設定歸因表單,平台選項取自目錄,創作者選項由呼叫端提供
- 讀回結果:依選項與日期範圍的彙總、原始回答串流,以及等待對應的自由文字
- 透過重新對應回溯處理尚未解析的自由文字回答
- 用同一個 external_id 鍵把回答與自有使用者及營收串接
- 適用情境
- 適合想讓助理在註冊或付款流程中建立並維護一題自述歸因問題,並把頻道與創作者結果取回自有分析、而不依賴人工儀表板的情境。
- 執行需求
- 透過 npx 從 npm 套件 humansurvey-mcp 在本機執行(需要 Node.js)。需要 HumanSurvey 帳號,並以環境變數 HUMANSURVEY_API_KEY 提供 API 金鑰;需要連線至 HumanSurvey API 的網路。僅限桌面端。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Human Survey,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
HumanSurvey
Website: humansurvey.co · Docs: humansurvey.co/docs · FAQ: humansurvey.co/faq
Attribution for the channels that have no referrer.
HumanSurvey asks one question — how did you hear about us — inside the host's own signup or payment flow, at a granularity that is actually actionable: the platform first, then which creator, podcast, event or store.
What is this?
An API and MCP server for self-reported attribution. TikTok in-app, Instagram, podcasts, communities, word of mouth, AI assistants: the exposure happens where tracking cannot reach, and asking a human is the only always-on signal that survives every referrer leak.
Two placements answer different questions. In the payment flow, the respondent is already a paying customer, so the answer joins to revenue with no conversion ingest at all. In the signup flow, it is the only way to see the people a channel sends who never pay. Divide a channel's share of the paying population by its share of the signup population. Above 1 it converts better than your average, below 1 worse. Multiply that ratio by your overall signup-to-paid rate to get the channel's own rate.
It is designed for:
- hosts embedding a form in their own onboarding or checkout
- agents that keep the candidate list current and read the results back
It is not designed for:
- general-purpose surveys — arbitrary question types, Markdown authoring and conditional logic were removed in the attribution pivot
- a human-facing analytics dashboard: the aggregates are an API resource, and the agent is the dashboard
- reaching your audience for you — HumanSurvey never contacts respondents; the transports
it offers (the
/s/{id}URL and the iframe embed) are ones you control
Features
- Progressive disclosure, not pagination — POST the platform answer, PATCH the follow-up. The first answer is durable before the second is asked, and a respondent who abandons the follow-up is still real data.
- Rotation by default — the orderable candidates are permuted per respondent, seeded
by a client-minted
render_id, so the raw share is unbiased by construction.fixedorder exists for callers who want it and does not hide its bias. - Retroactive remapping — free text is stored verbatim and resolved against the remap table on every read, so one mapping fixes months of history with no backfill.
- Immutable config snapshots — a response is joined to the version it was rendered against, so reconfiguring cannot rewrite what history says was shown.
- One join key, both directions —
external_idbrings revenue in and carries per-user attribution back out to your own user table. - Cursor reads — a response becomes visible once it is complete, is emitted exactly once, and is final when emitted. Nothing downstream has to upsert.
Product Principles
- AI-first I/O: agents configure the form and consume the results; humans are in the middle.
- Everything is an API: creator functionality must be available over authenticated HTTP and MCP.
- Narrow scope wins: one question, asked well. A feature that mainly serves a human survey operator probably does not belong here.
- No confident percentages: every number ships beside the denominator it was computed over, and a number we cannot compute honestly is null rather than smoothed.
Quick Start
Get an API key
Anonymous key creation is gone. Every key belongs to an account from birth, which is what gives a lost key a recovery path and makes rotation free.
Create a form, then configure it
A form renders nothing until it has a config. PUT stores one as an immutable snapshot:
Platform labels, marks and aliases come from GET /api/attribution/catalog and are copied
into the snapshot. Creator candidates are yours: the product renders a candidate set and
returns the id that was chosen, and matching a vague description against a creator
database is upstream work.
Read the results
Also on the read side: GET /api/attribution/forms/{id}/responses (cursor stream, or one
identity via ?external_id=), .../unresolved for free text awaiting a mapping, and
POST .../remaps to resolve it retroactively. Full request and response shapes are in
the OpenAPI document.
Use with Claude Code
The server name stays survey and the package stays humansurvey-mcp — both sit inside
every existing user's config. Its ten tools now speak the attribution API — see
packages/mcp-server/README.md. npm publishes separately
from this repo, so the version on npm can lag what is here.
Public Surface
- Docs page:
https://www.humansurvey.co/docs - OpenAPI:
https://www.humansurvey.co/api/openapi.json - AI index:
https://www.humansurvey.co/llms.txt
Tech Stack
Project Structure
Contributing
Read CONTRIBUTING.md before opening a PR. The most important rule is scope discipline: new UI variants, analytics dashboards, and human-operator features are usually out of scope.
Development
License
MIT
來源:README.md,提交 5ad9b11
工具
0版本歷史
1- v1.2.0最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
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