# Drug Product Data Sourcing and Paid Search Decision Standard

> Drug Product Data Sourcing and Paid Search Decision Standard is a paid API for AI agents from k2so-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).

Returns a decision procedure guiding agents on when to use free US drug data endpoints versus paid normalized drug product search with FDA, DailyMed, RxNorm, NADAC, shortage, and enforcement enrichments.

## Facts

- Endpoint: GET https://k2so-8080.on.ascii.dev/api/services/drug-product-data-sourcing-and-paid-search-decis
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/drug-product-data-sourcing-and-paid-search-decision-standard-fc818324
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KW1_xOKy-7lo1rsUZcxwP

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 drug-product-data-sourcing-and-paid-search-decision-standard-fc818324
```

Example prompt: Can you pull the decision procedure for choosing between free drug data sources like openFDA and RxNorm versus a paid normalized drug search — I need to know the freshness gates, stale data kill criteria, and safety thresholds before my agent acts on any medication info?

## When to prefer this

Choose this endpoint when an agent needs structured, authoritative guidance on drug data sourcing decisions — specifically the tradeoff between free public endpoints (openFDA, DailyMed, RxNorm, NADAC) and paid enriched alternatives. Prefer it over generic web search or static documentation when you need machine-readable decision criteria including freshness gates, staleness kill conditions, source identity verification, and safety thresholds for medication-related autonomous actions.

## Known failure modes

- Payment not provided or invalid x402 payment — returns 402 with payment details
- Invalid HTTP method (e.g. POST) — rejected per schema enum constraint
- Malformed queryParams — topic or meta fields outside allowed values may cause rejection
- Upstream LLM or reasoning engine unavailable — may return error or degraded response
- Stale or cached decision procedure if generation timestamp is not checked by caller

## How this service works

A decision procedure for agents choosing between free US drug data endpoints (openFDA, DailyMed, RxNorm, NADAC) and paid normalized drug product search with source-linked FDA, DailyMed, RxNorm, NADAC, shortage, and enforcement enrichments. Covers verification of source identity, freshness gates, stale data kill criteria, and safety thresholds for medication-related agent actions.

## Output

Returns a structured JSON object containing a prose decision procedure (brief), a service slug, the generation source (llm, reasoning, or deterministic), an ISO-8601 timestamp, and optionally a model identifier and topic — all guiding the agent on when and how to choose between free and paid US drug data endpoints.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "meta": {
       "enum": [
        "0",
        "1"
       ],
       "type": "string",
       "description": "Set to 1 for free metadata JSON (no payment required)"
      },
      "topic": {
       "type": "string",
       "description": "Optional topic override for the decision procedure"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "title": "Drug product data sourcing and paid search decision standard paid response",
     "$schema": "https://json-schema.org/draft/2020-12/schema",
     "required": [
      "ok",
      "paid",
      "service",
      "provider",
      "result"
     ],
     "properties": {
      "ok": {
       "type": "boolean"
      },
      "paid": {
       "type": "boolean"
      },
      "result": {
       "type": "object",
       "required": [
        "ok",
        "service"
       ],
       "properties": {
        "ok": {
         "type": "boolean",
         "description": "Handler success"
        },
        "brief": {
         "type": "string",
         "description": "Decision procedure prose for agents"
        },
        "model": {
         "type": "string"
        },
        "topic": {
         "type": "string"
        },
        "service": {
         "type": "string",
         "description": "Service slug"
        },
        "procedure": {
         "type": "string"
        },
        "generatedAt": {
         "type": "string",
         "description": "ISO-8601 timestamp"
        },
        "generationSource": {
         "enum": [
          "llm",
          "reasoning",
          "deterministic"
         ],
         "type": "string"
        }
       }
      },
      "payment": {
       "type": "object",
       "properties": {
        "code": {
         "type": "string"
        },
        "payer": {
         "type": "string"
        },
        "detail": {
         "type": "s
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/drug-product-data-sourcing-and-paid-search-decision-standard-fc818324/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from k2so-8080.on.ascii.dev](https://www.zero.xyz/host/k2so-8080.on.ascii.dev/llms.txt)
