Deterministic synthetic social media feed generator for AI agent testing and dev
Deterministic synthetic social media feed generator for AI agent testing and development. Simulates KOL postings with tunable sentiment.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
226 msmedian answer time
$0.005listed price per call
$0.005price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://vibesprings.net/api/mock/social/feed
| Category | Everything else |
|---|---|
| Provider host | vibesprings.net |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.005 | 226 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"count": 3,
"persona": "vitalikbuterin",
"seed": "test-run-1",
"sentiment": "bullish"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"count": {
"description": "Number of tweets (1-20)",
"type": "integer"
},
"format": {
"description": "Output format (json, text)",
"type": "string"
},
"persona": {
"description": "Target persona (vitalikbuterin, brian_armstrong, elonmusk, saylor, cz_binance, trader_anon)",
"type": "string"
},
"seed": {
"description": "Deterministic LCG seed value",
"type": "string"
},
"sentiment": {
"description": "Sentiment bias (bullish, bearish, neutral)",
"type": "string"
}
},
"required": [],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}