E
edilsonsantos-co-za/owed
AI collections copilot for PayPal invoices: Claude agents + AG Studio dashboard
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
取自该仓库的安装命令
npm install cp
解析自我们于 2026-10-26 抓取的该仓库 README;我们未执行过。
这条是仓库自己写的安装方式,不是 MCP 客户端配置,所以不生成 JSON。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 0 ★ · edilsonsantos-co-za/owed · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-10-26 · 最近见到 2026-11-14 · 共见到 23 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 1 个来源 · repo
- 安装
npm install cp
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npm install cp。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: 开源项目。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
edilsonsantos-co-za/owed;我们收录于 2026-10-26;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# Owed
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
An AI collections copilot for freelancers and small studios who bill through PayPal invoices.
Late payments are the cash-flow problem of small service businesses: the work is done, the invoice is
sent, and then someone has to notice it is overdue, work out how hard to push this particular client, and
write the awkward email. Most freelancers either chase too late or chase everyone the same way.
Owed reads your PayPal invoices, learns how each client actually pays, and has Claude agents draft the right
reminder for each overdue invoice: friendly for a good client who slipped, firm for a habitual late payer,
final for 45+ days. Every draft lands in an approval queue; nothing reaches a client until you press
Approve & send, which sends the reminder through PayPal's Invoicing API. All of it sits inside an
AG Studio dashboard the same agents can rebuild on request.
Built for the PayPal AI Hackathon (Oct–Nov 2026).
## What it does
Live receivables dashboard (AG Studio) over your PayPal sandbox invoices: outstanding and overdue,
aging by client, open invoices most-overdue-first, and a cash forecast that shifts each due date by
that client's real payment habit.
Client payment profiles: average days to pay, days late, on-time rate and a 0–100 risk score per client,
computed from PayPal invoice and payment history.
A team of agents in the dashboard chat: AG Studio's five built-in agents (lead, planning, data, page,
widget) plus Owed's own collections agent. Ask "who owes me money? draft reminders" and the lead
delegates to collections; ask "add a chart of overdue by client" and it delegates to the dashboard agents.
Human-in-the-loop by design: agents can only draft. You edit the subject or message, then approve;
Owed calls POST /v2/invoicing/invoices/{id}/remind (or creates and sends a new invoice). An audit log
records who did what: agent drafted, you sent.
Morning brief: a server-side Claude agent uses PayPal's Agent Toolkit (read-only tools:
listinvoices, getinvoice, listtransactions, listdisputes…) to investigate the account and
write a three-line briefing with today's focus clients.
Demo mode: with no PayPal credentials, Owed runs on a built-in scenario (seven clients, six months of
invoices) so anyone can try it in under a minute.
## How AI is used
| Where | Model / tool | What it does |
| Dashboard chat (6 agents) | Claude Opus 5.5 (Sonnet 5.5 selectable) via the Anthropic Messages API | AG Studio's Agent Framework runs the agents in the browser; Owed's custom Claude adapter (lib/studio/claude-adapter.ts → /api/ai/turn → lib/claude-turn.ts) translates each turn to streaming Claude calls with adaptive thinking, and Claude's stream back into AG-UI events. |
| Collections agent | Claude + Owed tools (getreceivables, getclientprofile, draftreminder, draftinvoice) + Studio's viewschema/executequery | Judges tone from history, writes reminders and invoices into the approval queue. |
| Morning brief | Claude + @paypal/agent-toolkit (Bedrock-shaped tools mapped to Claude tool use) | Agentic, read-only investigation of the PayPal account; structured JSON output. |
Server-side refusal fallback is enabled on Claude calls (fallbacks: "default"), and the hosted demo caps AI
Late payments are the cash-flow problem of small service businesses: the work is done, the invoice is
sent, and then someone has to notice it is overdue, work out how hard to push this particular client, and
write the awkward email. Most freelancers either chase too late or chase everyone the same way.
Owed reads your PayPal invoices, learns how each client actually pays, and has Claude agents draft the right
reminder for each overdue invoice: friendly for a good client who slipped, firm for a habitual late payer,
final for 45+ days. Every draft lands in an approval queue; nothing reaches a client until you press
Approve & send, which sends the reminder through PayPal's Invoicing API. All of it sits inside an
AG Studio dashboard the same agents can rebuild on request.
Built for the PayPal AI Hackathon (Oct–Nov 2026).
## What it does
Live receivables dashboard (AG Studio) over your PayPal sandbox invoices: outstanding and overdue,
aging by client, open invoices most-overdue-first, and a cash forecast that shifts each due date by
that client's real payment habit.
Client payment profiles: average days to pay, days late, on-time rate and a 0–100 risk score per client,
computed from PayPal invoice and payment history.
A team of agents in the dashboard chat: AG Studio's five built-in agents (lead, planning, data, page,
widget) plus Owed's own collections agent. Ask "who owes me money? draft reminders" and the lead
delegates to collections; ask "add a chart of overdue by client" and it delegates to the dashboard agents.
Human-in-the-loop by design: agents can only draft. You edit the subject or message, then approve;
Owed calls POST /v2/invoicing/invoices/{id}/remind (or creates and sends a new invoice). An audit log
records who did what: agent drafted, you sent.
Morning brief: a server-side Claude agent uses PayPal's Agent Toolkit (read-only tools:
listinvoices, getinvoice, listtransactions, listdisputes…) to investigate the account and
write a three-line briefing with today's focus clients.
Demo mode: with no PayPal credentials, Owed runs on a built-in scenario (seven clients, six months of
invoices) so anyone can try it in under a minute.
## How AI is used
| Where | Model / tool | What it does |
| Dashboard chat (6 agents) | Claude Opus 5.5 (Sonnet 5.5 selectable) via the Anthropic Messages API | AG Studio's Agent Framework runs the agents in the browser; Owed's custom Claude adapter (lib/studio/claude-adapter.ts → /api/ai/turn → lib/claude-turn.ts) translates each turn to streaming Claude calls with adaptive thinking, and Claude's stream back into AG-UI events. |
| Collections agent | Claude + Owed tools (getreceivables, getclientprofile, draftreminder, draftinvoice) + Studio's viewschema/executequery | Judges tone from history, writes reminders and invoices into the approval queue. |
| Morning brief | Claude + @paypal/agent-toolkit (Bedrock-shaped tools mapped to Claude tool use) | Agentic, read-only investigation of the PayPal account; structured JSON output. |
Server-side refusal fallback is enabled on Claude calls (fallbacks: "default"), and the hosted demo caps AI
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- 来源
- github · https://github.com/edilsonsantos-co-za/owed
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