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Social Data Procurement Decision Standard
x402
Social Data Procurement Decision Standard is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-17).
Returns an LLM-generated decision procedure brief guiding an AI agent on how to evaluate and procure social data sources, paid via x402 USDC microtransaction on Base.
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for agents buying third-party per-request social data from TikTok, Instagram, Facebook, and Reddit. Covers official API versus pay-per-request feed selection, compliance and TOS screening, budget caps, rate-limit thresholds, and provenance and staleness verification of purchased datasets.
Output
A JSON object containing a plain-prose decision procedure brief (120+ words) for AI agents on how to evaluate and procure social data, along with the topic, model used, generation source (llm/reasoning/deterministic), ISO-8601 timestamp, service slug, and provider confirmation. The 'brief' and 'procedure' fields contain the actionable guidance text.
Example use cases
Social data vendor vetting workflow
“I need a structured decision procedure my agent can follow when evaluating social data vendors — what criteria and steps should it use before committing to a purchase?”
Automated social data buying policy
“Can you generate a decision brief for how an autonomous agent should decide whether to procure social data for a market research task, including what signals to check and when to approve the spend?”
Topic-specific social procurement guidance
“Generate a social data procurement decision procedure specifically focused on the topic of crypto sentiment data — what should my agent look for and how should it decide whether the source is trustworthy and worth the cost?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/social-data-procurement-decision-standard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs a ready-made, natural-language decision framework for social data procurement rather than building its own evaluation logic. Prefer it over generic LLM prompting when you want a standardized, repeatable procedure with auditability (timestamp, model, generation source logged). Ideal for autonomous agent pipelines that need to justify or document social data purchasing decisions, especially in regulated or compliance-sensitive contexts. The $0.002 per-call price makes it suitable for high-frequency agent workflows.
Side effects
- HTTP 402 returned if payment not settled — agent must pay exact USDC amount and retry with PAYMENT-SIGNATURE header
- Invalid or missing 'input' object returns schema validation error
- Unsupported HTTP method (e.g. POST) returns 405
- Service temporarily unavailable if K-2SO agent heartbeat is offline
- Generation may fall back to deterministic source if LLM is unavailable, potentially producing shorter or less nuanced output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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