# Agent Action Extractor

> Agent Action Extractor is a paid API for AI agents from agent-product-normalizer.vercel.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-18).

Extracts concrete action items, priority signals, and deadline information from unstructured text such as meeting notes, conversations, or task descriptions.

## Facts

- Endpoint: GET https://agent-product-normalizer.vercel.app/api/v1/extract-actions
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agent-action-extractor-f7e1e688
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8NRnCvmTX34M1KlGwZajR

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 agent-action-extractor-f7e1e688
```

Example prompt: Can you pull out all the action items, priorities, and deadlines from these meeting notes: 'John will finalize the budget by Friday, Sarah needs to send the client proposal ASAP, and we should review the roadmap next week — low priority'?

## When to prefer this

Use this endpoint when you need to parse unstructured or semi-structured human-written text (emails, meeting notes, chat logs, documents) and extract actionable tasks with priority and deadline context. Prefer it over generic NLP endpoints when the goal is agent-ready task lists rather than sentiment or topic classification. It is particularly valuable in multi-agent pipelines where one agent ingests raw human communication and another needs a clean task queue to act on.

## Known failure modes

- Input text is too long (exceeds 20,000 character limit) — request will be rejected
- Text contains no discernible action items — returns empty or minimal results
- Ambiguous priority language may be mis-classified or missed
- Deadlines expressed in relative terms (e.g. 'next week') may not be resolved to absolute dates
- Non-English input may yield degraded extraction quality

## How this service works

Extract concrete action items, priority and deadline signals from messy text

## Output

Returns a structured list of action items extracted from the input text, each with associated priority signals (e.g. high/medium/low or urgency markers) and deadline information where present, enabling downstream task management or agent execution steps.

## 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": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "maxLength": 20000,
       "description": "Conversation, notes, or task text containing action items"
      }
     },
     "additionalProperties": true
    }
   },
   "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/agent-action-extractor-f7e1e688/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agent-product-normalizer.vercel.app](https://www.zero.xyz/host/agent-product-normalizer.vercel.app/llms.txt)