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Crinkl Campaign Fit Estimate
x402
Crinkl Campaign Fit Estimate is a paid API for AI agents from api.crinkl.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Returns a campaign fit estimate based on category demand signals and retailer activity for a given geography and time window.
Price / call$0.1
Success—
StatusUnknown
How this service works
Get a campaign fit estimate from category demand and retailer activity.
Output
Returns a campaign fit estimate object with category demand scores, retailer activity rankings, and geo-scoped signals derived from receipt-verified purchase data, indicating how suitable a given category and optional merchant are for campaign activation in the specified market and time window.
Example use cases
Example prompt
“Using Crinkl verified purchase data, give me a campaign fit estimate for the 'personal-care' category in the Chicago metro area (CBSA 16980) over the last 14 days — and if you can, also score how well Target fits as a retailer for this campaign.”
Technical details
Endpoint
GEThttps://api.crinkl.xyz/x402/campaign-fit-estimateWhen to prefer
Use this endpoint when you need a quick, receipt-verified estimate of campaign viability for a specific product category — especially when you want to rank retailers or assess geographic fit using real consumer purchase signals. Prefer this over general market research tools when you need proof-backed, privacy-thresholded commerce data rather than survey or modeled estimates.
Side effects
- Missing required 'category' query param returns 400 validation error
- Invalid or unsupported category slug returns empty or low-confidence estimate
- CBSA code not covered by Crinkl data returns no results or geo threshold error
- Days parameter outside 1-30 range returns 400 range validation error
- Payment not included or insufficient USDC results in 402 Payment Required
- Unknown merchant ID returns estimate without merchant-level scores
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"inputs": {
"geo": "US",
"days": 14,
"category": "beverage",
"merchant": "crinkl-store-target"
},
"object": "crinkl_paid_report",
"window": {
"geo": "US",
"days": 14
},
"license": {
"tier": "x402_single_use",
"redistribution": "not_allowed"
},
"privacy": {
"smallCells": "suppressed",
"rawReceipts": "not_returned",
"walletHistories": "not_returned",
"identifiablePurchaseRecords": "not_returned"
},
"results": {
"fitTier": "strong_first_campaign_fit",
"dataType": "verified_purchase_data",
"buyerUseCase": "first campaign recommendation for CPG and retail marketing",
"privacyClass": "aggregate_only_no_personal_data",
"categorySignal": "not_suppressed",
"merchantSignal": "not_suppressed",
"recommendation": "ready_for_campaign_plan",
"repeatSpendSignal": "campaign_or_enterprise_only",
"marketplaceCategory": "Data",
"incrementalSalesSignal": "campaign_or_enterprise_only"
},
"reportId": "rpt_example_campaign_fit_estimate",
"reportType": "campaign_fit_estimate"
}
}Tags
x402
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