# Skim Signal: Research Papers Feed

> Skim Signal: Research Papers Feed is a paid API for AI agents from skim402.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-30).

Returns fresh arXiv research papers across top AI/ML/tech fields as structured items with title, abstract excerpt, authors, and PDF link, refreshed every 10 minutes.

## Facts

- Endpoint: GET https://skim402.com/api/v2/signal/research/latest?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/skim-signal-research-papers-feed-2e7baae2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tO8mL0ovN0hC9QigDFdHS

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability skim-signal-research-papers-feed-2e7baae2
```

Example prompt: Pull the latest 20 arXiv papers on NLP and agents from Skim Signal so I can see what's dropped in the last few hours.

## When to prefer this

Choose this endpoint when you need a continuously refreshed, structured feed of arXiv papers across popular CS/AI fields without scraping arXiv directly. It is ideal for agents that need to monitor academic research trends, build daily digests, or surface new papers on a schedule. Prefer it over general web scraping when you want clean, structured metadata (title, authors, abstract, PDF link) with minimal parsing overhead and a 10-minute freshness guarantee.

## Known failure modes

- Invalid ?fields= value returns empty or error response
- limit parameter out of range (below 1 or above 100) returns validation error
- arXiv upstream delay may mean very recent submissions aren't yet indexed
- Network or payment authorization failure results in 402 or 5xx response
- Empty result set if no new papers have been published in a niche field within the refresh window

## How this service works

Skim Signal: research papers — fresh arXiv papers across the most-followed fields (AI, ML, NLP, computer vision, robotics, multi-agent systems, security, quantum) as structured items: title, abstract excerpt, authors, PDF link. Optional ?fields= filter. Refreshed on a 10-minute cycle.

## Output

A list of structured paper objects returned newest-first, each containing the paper title, an abstract excerpt, author list, and a direct PDF link from arXiv. Results are scoped to the requested fields and limited to the requested count (default 50).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [],
     "properties": {
      "limit": {
       "type": "integer",
       "maximum": 100,
       "minimum": 1,
       "description": "Maximum number of papers to return (default 50, no upper cap). Newest-first."
      },
      "fields": {
       "type": "string",
       "description": "Optional comma-separated field filter. Tracked fields: ai, ml, nlp, vision, robotics, agents, security, quantum."
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/skim-signal-research-papers-feed-2e7baae2/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from skim402.com](https://www.zero.xyz/host/skim402.com/llms.txt)