Xpoz is a social data API aimed explicitly at AI agents: brand monitoring, listening, and intel across Reddit, Twitter/X, TikTok and Instagram, metered in credits.
It is the closest competitor on this page to what we do, and it prices in a way worth reading carefully twice.
What it costs
| Plan | Monthly | Annual (per month) | Credits/month | Overage |
|---|---|---|---|---|
| Free | $0 | — | 500 (once, does not renew) | — |
| Pro | $20 | $16 | 7,500 | $3 / 1,000 |
| Max | $200 | $160 | 120,000 | $2 / 1,000 |
| Enterprise | custom | — | custom | — |
⚠️ Two prices, and the page shows the smaller one
Their pricing page displays "$16/month ($192 annually with 20% discount)". $192 ÷ 12 = $16 — so $16 is the annual rate, and the month-to-month price is $20. Same for Max: $160 annual, $200 monthly.
Both numbers are real. We publish both, labelled, because a comparison that quotes $16 against a competitor's monthly price is comparing an annual commitment to a month.
⚠️ The multiplier that decides your bill
A credit buys a query, not a result — and the query price depends on the platform:
| Platform | Credits per query |
|---|---|
| 2 | |
| Twitter/X | 2 |
| TikTok | 5 |
| 12 |
Instagram costs six times a Reddit query on the same plan. So "7,500 credits" is 3,750 Reddit queries or 625 Instagram queries, and which one you are buying is decided by your product, not by the plan you picked.
At the Pro tier that works out to roughly $0.032 per Instagram query — and the comparison with anyone charging per result breaks down entirely, because a query that returns fifty posts and a query that returns none cost the same.
Who it's for
Xpoz fits an agent that asks many cheap questions — Reddit and Twitter monitoring, where 2 credits is the rate and 7,500 credits goes a long way.
It fits worst where Instagram is the primary target, which is exactly where most of this category's demand sits. 625 queries a month on the $20 plan is a prototype budget, not a product one.
Where it is better than us
Reddit. They serve it and we do not — our Reddit collection fails silently without credentials by design, and that is a real gap, not a positioning choice.
Twitter/X. Same: not a platform we serve.
Query-shaped access. They answer "what is being said about X", which is a search question. We answer "what gained traction", which needs an archive. Those are different products and theirs is better at theirs.
Where we are different, not better
We meter per call with a published per-endpoint cost, and the owner of that price is the database row, not a table in a marketing page. Neither model is superior — but ours does not change by a factor of six depending on which platform you ask about, and that is worth knowing before you model your costs.
The legal part
Same ground as the rest of the category: public pages, no login. The platforms' terms and the live case law apply to them as to us.
We publish our own line and a removal route.
Who measured this
We did, we compete directly with them, and there is a discrepancy in our own sources that we are going to show rather than resolve silently.
Reading their pricing page directly gave $16 and $160, labelled as monthly with an annual note. Search restricted to their domain gave $20 and $200 as the monthly figures. Those are consistent once you do the division — 20% off $20 is $16 — and we publish both columns for that reason.
The per-platform credit table is from the pricing page, read directly, and it is the part we would check first if we were buying.
What we run is an hourly archive of what's rising. What we sell is one response shape across eleven platforms — not including the two platforms Xpoz does best.
Plan prices, credit counts, overage rates and the per-platform credit table read from xpoz.ai/pricing on 2 October 2026 — primary source, read directly from the page. The monthly-versus-annual figures were cross-checked against search restricted to xpoz.ai and both are published above. The $0.032-per-Instagram-query figure is our arithmetic on their numbers. Verify before deciding.