whatpeoplepayfor
Query gig economy market data (274 categories, 17k+ monthly snapshots) to find growth opportunities, top orders, pain points, and category trends. Use when analyzing freelance market demand, discovering profitable niches, or monitoring gig economy trends.
Best use case
whatpeoplepayfor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Query gig economy market data (274 categories, 17k+ monthly snapshots) to find growth opportunities, top orders, pain points, and category trends. Use when analyzing freelance market demand, discovering profitable niches, or monitoring gig economy trends.
Teams using whatpeoplepayfor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/whatpeoplepayfor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How whatpeoplepayfor Compares
| Feature / Agent | whatpeoplepayfor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Query gig economy market data (274 categories, 17k+ monthly snapshots) to find growth opportunities, top orders, pain points, and category trends. Use when analyzing freelance market demand, discovering profitable niches, or monitoring gig economy trends.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
Best AI Agents for Marketing
A curated list of the best AI agents and skills for marketing teams focused on SEO, content systems, outreach, and campaign execution.
SKILL.md Source
# WhatPeoplePayFor
Agent-first market intelligence API for the gig economy. Monthly Fiverr dataset with 274 categories and 17,000+ gig snapshots, queryable via natural language or structured endpoints.
## Quick Start
### Install
```bash
clawhub install whatpeoplepayfor
```
### Configure
Get your API key at [whatpeoplepayfor.com](https://whatpeoplepayfor.com):
1. Sign up with Google
2. Choose a plan (starts at $19.90/month, or $99.90 lifetime)
3. Copy your API key from the getting-started page
Set the environment variable:
```bash
export WPP_API_KEY="your_api_key_here"
```
### Verify
```bash
curl -s \
-H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/bootstrap"
```
You should see your access status, endpoint map, and available data months.
## What This Skill Does
This skill gives your AI agent access to a monthly gig economy dataset. The agent can:
- **Ask natural language questions** about market opportunities, trends, and demand
- **Discover growth opportunities** across 274 freelance categories
- **Analyze top orders** and revenue patterns
- **Extract pain points** that customers repeatedly mention
- **Track individual gigs** over time to spot trends
- **Save and rerun analyses** monthly with the Focus system
## Authentication
All requests require a bearer token:
```
Authorization: Bearer $WPP_API_KEY
```
## API Base URL
```
https://whatpeoplepayfor.com/api/agent
```
## Workflow
### 1. Bootstrap
Always start here. Confirms your key works and returns the endpoint map.
```bash
curl -s \
-H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/bootstrap"
```
### 2. Ask (primary entrypoint)
Turn natural language into structured market analysis:
```bash
curl -s \
-X POST \
-H "Authorization: Bearer $WPP_API_KEY" \
-H "Content-Type: application/json" \
"https://whatpeoplepayfor.com/api/agent/ask" \
-d '{
"question": "What are the fastest-growing freelance categories this month?",
"saveFocus": true
}'
```
The response includes:
- `run.answer.summary` — natural language answer
- `run.answer.supportingOrders` — evidence data
- `run.answer.topPainPoints` — demand signals
- `run.answer.recommendedFollowups` — suggested next questions
Example questions:
- "Help me find the fastest-growing opportunity in March"
- "What are the strongest orders behind that opportunity?"
- "Which pain points repeat most often in business plans?"
### 3. Drill down with query endpoints
After `ask` identifies a promising angle, use structured queries:
**Available months:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/months"
```
**Monthly stats:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/stats?month=2026-03"
```
**Category rollups (sorted by revenue):**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/category-rollups?month=2026-03&sort=avg_revenue&limit=20"
```
**Search snapshots:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/snapshots?month=2026-03&category_slug=business-plans&limit=20"
```
**Single snapshot detail:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/snapshot?snapshot_id=<SNAPSHOT_ID>"
```
**Track a gig over time:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/gig-history?gig_id=<GIG_ID>&limit=12"
```
**Aggregate pain points:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/query/pain-points?month=2026-03&q=plan&limit=20"
```
### 4. Focus system (save and rerun)
Save useful analyses as durable Focuses that can be rerun against new monthly data:
**List workspaces:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/workspaces"
```
**List focuses in a workspace:**
```bash
curl -s -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/workspaces/<WORKSPACE_ID>/focuses"
```
**Rerun a focus:**
```bash
curl -s -X POST \
-H "Authorization: Bearer $WPP_API_KEY" \
-H "Content-Type: application/json" \
"https://whatpeoplepayfor.com/api/agent/focuses/<FOCUS_ID>/run" \
-d '{}'
```
### 5. SSE streaming (optional)
For incremental row consumption:
```bash
curl -N -H "Authorization: Bearer $WPP_API_KEY" \
"https://whatpeoplepayfor.com/api/agent/sse/category-rollups?month=2026-03"
```
## Query Strategy
- Prefer `ask` first for natural-language exploration, then drill down with query endpoints
- Use `bootstrap` once per session to confirm access and discover available data
- Use `stats` and `category-rollups` before scanning raw snapshots
- Use `pain-points` when looking for demand themes and repeated customer signals
- Use `snapshot` and `gig-history` only after narrowing candidates
- Use `focuses` when the agent needs continuity across sessions
## Endpoint Map
| Endpoint | Method | Purpose |
|----------|--------|---------|
| `/bootstrap` | GET | Discover endpoints and confirm access |
| `/usage` | GET | Check API usage stats |
| `/workspaces` | GET | List workspaces |
| `/ask` | POST | Natural language market analysis |
| `/workspaces/:id/focuses` | GET | List saved analyses |
| `/focuses/:id` | GET | Read a saved analysis |
| `/focuses/:id/run` | POST | Rerun a saved analysis |
| `/query/months` | GET | Available data months |
| `/query/stats` | GET | Monthly summary |
| `/query/category-rollups` | GET | Category-level analytics |
| `/query/snapshots` | GET | Search gig snapshots |
| `/query/snapshot` | GET | Single snapshot detail |
| `/query/gig-history` | GET | Track gig across months |
| `/query/pain-points` | GET | Aggregate customer pain points |
| `/sse/snapshots` | GET | Stream snapshots (SSE) |
| `/sse/category-rollups` | GET | Stream category rollups (SSE) |
## Security
- All data access requires a valid `WPP_API_KEY`
- Requests are sent to `https://whatpeoplepayfor.com/api/agent` over HTTPS
- No data is stored locally; all queries hit the remote API
- Your API key is never logged or transmitted to third parties
## Common Errors
| Error | Cause | Fix |
|-------|-------|-----|
| `401 Missing bearer token` | No Authorization header | Add `Authorization: Bearer $WPP_API_KEY` |
| `401 Invalid API key` | Key not recognized | Check key at whatpeoplepayfor.com |
| `403 Access inactive` | Payment expired or key revoked | Renew subscription |
| `404 Focus not found` | Focus deleted or wrong user | List focuses first |
## Pricing
| Plan | Price | Access |
|------|-------|--------|
| Monthly | $19.90/mo | Full API access |
| Lifetime | $99.90 one-time | Full API access, forever |
Sign up at [whatpeoplepayfor.com](https://whatpeoplepayfor.com)Related Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述