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X/Twitter Voice-of-Customer Pain Points Digest
x402
X/Twitter Voice-of-Customer Pain Points Digest is a paid API for AI agents from clink-lithium-vault.fly.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-12).
Mines live X/Twitter posts for a given product or brand and returns clustered pain points, feature requests, and praise with verbatim quotes and post URLs.
Price / call$0.05
Success—
StatusUnknown
How this service works
Voice-of-customer / product complaints digest for AI agents - pass a product or brand, get clustered pain points, feature requests and praise mined from live X posts, with verbatim quotes and URLs. Product research, competitor research, churn signals, roadmap input. ?product=<name or handle>. Raw tweets + trend summary instead: /x/digest $0.05.
Output
A JSON object containing the queried product name, a natural-language summary, an array of clustered pain point themes each with a count, descriptive label, and severity rating (e.g. low/medium/high), plus verbatim tweet quotes and URLs, and a total result count.
Example use cases
Competitor churn signal research
“What are the most common complaints and frustrations people are posting about HubSpot on X lately? I want to see the clustered themes, severity, and some real quotes so I can identify their churn signals.”
Product roadmap prioritization
“Find me the top feature requests and pain points that users are tweeting about Figma right now — I want to use this to help prioritize our roadmap and see what's resonating most.”
Pre-launch competitive positioning
“Before we launch our new project management tool, can you mine X for the biggest pain points people have with Linear and Asana? I need clustered themes with real verbatim quotes and URLs.”
Technical details
Endpoint
GEThttps://clink-lithium-vault.fly.dev/x/pain-points?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, clustered voice-of-customer intelligence from live X/Twitter posts — specifically pain points, feature requests, and praise — rather than raw tweet feeds. It is ideal for product research, competitive analysis, churn signal detection, and roadmap input where you want pre-digested themes with severity ratings and verbatim evidence, without building your own Twitter scraping and NLP pipeline.
Side effects
- Unknown or very niche product with no recent X posts returns sparse or empty results
- Rate-limited or blocked X search returns an error or degraded result set
- Ambiguous product name (e.g. common word) may return off-topic tweets
- Payment not confirmed results in 402 response before data is returned
- Temporary X platform outages may cause timeouts or incomplete data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"product": "Cursor",
"analysis": {
"summary": "...",
"pain_points": [
{
"count": 4,
"theme": "...",
"severity": "medium"
}
]
},
"result_count": 30
}
}Tags
x402
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