Meta ad library API for AI agents, for competitor research
Meta ad library API for AI agents, for competitor research: send a keyword or an advertiser (name or page id) and get its public ads as JSON: advertiser, start and end date, whether it is still running, platforms, text, title, call to action, link, format and image URLs. Filter by country and by active or all ads; up to 100 per call, each ad once. Pay per call in stablecoins; an empty search is not charged and ads you paid for but did not get are refunded.
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
POST https://agdata.shveik.dev/x402/meta-ads
| Category | Image and media |
|---|---|
| Provider host | agdata.shveik.dev |
| Networks | eip155:137, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 4 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"body": {
"country": "US",
"keyword": "running shoes",
"limit": 20
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"properties": {
"body": {
"additionalProperties": false,
"oneOf": [
{
"required": [
"keyword"
]
},
{
"required": [
"page"
]
}
],
"properties": {
"active": {
"type": "boolean"
},
"country": {
"type": "string"
},
"keyword": {
"maxLength": 100,
"minLength": 2,
"type": "string"
},
"limit": {
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"page": {
"maxLength": 100,
"minLength": 2,
"type": "string"
}
},
"type": "object"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}