SMM panel data API

{
  "data": [ ... ],
  "_meta": {
    "generatedAt": "2026-09-07T00:43:06.000Z",
    "license": "CC-BY-4.0",
    "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
    "attribution": "PanelCompare — https://panelcompare.com",
    "docs": "https://panelcompare.com/api-docs",
    "methodology": "https://panelcompare.com/methodology",
    "pagination": { "limit": 50, "offset": 0, "total": 129, "next": "..." }
  }
}

next="https://panelcompare.com/api/v1/panels?limit=200"
while [ -n "$next" ] && [ "$next" != "null" ]; do
  page=$(curl -s "$next")
  echo "$page" | jq -c '.data[]'
  next=$(echo "$page" | jq -r '._meta.pagination.next')
done

One exception worth knowing: on /api/v1/services/{platform}/{service} the offer list is capped by limit but not paged — offset is parsed and has no effect, and no pagination block is returned. Raise limit to 200 to see the full offer list for a service.

The ranked panel list, with every filter the site itself uses. Panels with status flagged are excluded from this endpoint entirely. An unknown sort or feature value returns 400 with the valid values in the message, rather than silently ignoring it.

curl -s "https://panelcompare.com/api/v1/panels?feature=refill&feature=api&minTrust=60&sort=trust" \
  | jq '.data[] | {slug, trust: .scores.trust, from: .catalogue.cheapestPer1000}'

One panel, with every field above plus an offerings array covering its whole active catalogue. Each offering carries marketMedianPer1000 and marketSampleSize beside the price, so a consumer can reproduce a “below market” verdict instead of taking one on trust. _meta.offeringCount gives the array length. An unknown slug returns 404 with code panel_not_found.

curl -s "https://panelcompare.com/api/v1/panels/panelfollows" \
  | jq '.data.offerings[] | select(.pricePer1000 < .marketMedianPer1000) | {service: .service.name, price: .pricePer1000, market: .marketMedianPer1000}'

The canonical taxonomy. Every panel’s raw service names are mapped onto these rows, which is what makes cross-panel comparison possible at all — so this is the endpoint to read before any other. Each row carries a reference price band and the typical order bounds for the service. An unknown platform returns 404 with code platform_not_found.

curl -s "https://panelcompare.com/api/v1/services?platform=tiktok&limit=200" \
  | jq -r '.data[] | [.slug, .unit, .referencePricePer1000.median] | @tsv'

The price table for one service: the canonical row, the current index figures, up to 90 days of index history, and every panel selling it ordered cheapest first. This is the endpoint behind the comparison tables on the site. An unknown path returns 404 with code service_not_found.

curl -s "https://panelcompare.com/api/v1/services/instagram/followers?minTrust=60&limit=5" \
  | jq '{median: .data.priceIndex.medianPricePer1000,
         cheapest: .data.offers[0] | {panel: .panel.name, price: .pricePer1000, refillDays}}'

The daily aggregate, one row per service, in exactly the shape the bulk CSV and JSON downloads publish. One dataset, three transports — a reader who diffs them finds nothing. _meta.day carries the aggregate date and _meta.bulk the paths to the whole-file downloads, which are the right choice for anything larger than a page.

curl -s "https://panelcompare.com/api/v1/price-index?limit=200" \
  | jq -r '.data[] | select(.panels_sampled >= 5)
           | [.platform, .service, .median_price_per_1000] | @csv'

Market-wide totals and a per-platform rollup: services, offerings, panels selling and the cheapest rate for each platform. These are the figures rendered on the market statistics page, read from the same queries. One naming note worth reading before you quote it: prices.meanOfServiceMediansPer1000 is the mean of every service’s median, not a basket price and not the market median.

curl -s "https://panelcompare.com/api/v1/stats" \
  | jq '{panels: .data.panels.total,
         offerings: .data.catalogue.offerings,
         deepest: (.data.platforms | max_by(.offerings) | .name)}'

{
  "error": {
    "code": "invalid_feature",
    "message": "unknown feature turbo; valid values are api, child-panel, drip-feed, ..."
  }
}

Data: PanelCompare (https://panelcompare.com), CC BY 4.0. Retrieved Sep 7, 2026.

<p>Data: <a href="https://panelcompare.com" rel="noopener">PanelCompare</a>,
  <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a>.</p>

If you republish figures at scale, carry the observation date with them. A price in this market is a measurement of one day, and a rate quoted without its date is a claim rather than a fact — which is the failure mode this whole dataset exists to fix.

CSV column names are part of the same contract as the JSON field names: columns get added, never renamed or reordered, because renaming one silently breaks every notebook built on the file.