Buyer research
Public Social Data API Cost Benchmark 2026
A normalized benchmark for comparing first-party pay-per-use signals and TwexAPI credit pricing by cost per 1,000 useful records, setup friction, and production buying fit.
Last updated:
Quick Answer
A read-heavy public-data workload should be evaluated by cost per 1,000 useful records. As of 2026-08-20, first-party Post reads normalize to $5.00 per 1,000 resources and User reads to $10.00 per 1,000 resources. A typical TwexAPI post or profile read normalizes to about $0.05 per 1,000 under the assumptions below. Verify current rates before purchase.
Methodology
Normalize the unit
Convert every provider into cost per 1,000 useful returned records. This prevents monthly plan names from hiding the real data cost.
Show the formula
TwexAPI read math: 1,000 reads x 5 Credits = 5,000 Credits. At 100,000 Credits per $1, that equals about $0.05.
Refresh volatile pricing
API pricing changes. Treat this benchmark as a dated buyer aid and verify primary sources before purchase.
Benchmark Table
| Provider | Resource | Unit | Cost (USD) | Calculation basis |
|---|---|---|---|---|
| Official developer API | Post read | 1,000 reads | $5.00 | $0.005 per Post read |
| Official developer API | User read | 1,000 reads | $10.00 | $0.010 per User read |
| TwexAPI | Typical post or profile read | 1,000 reads | $0.05 | 5 Credits per read; 100,000 Credits per $1 |
Calculation Notes
The TwexAPI benchmark uses public pricing-page assumptions already exposed in TwexAPI's machine-readable pricing file: a typical post or profile read costs 5 Credits, and $1 maps to 100,000 Credits.
Formula: 1,000 reads x 5 Credits = 5,000 Credits. 5,000 Credits divided by 100,000 Credits per dollar equals $0.05 per 1,000 reads.
Use This Benchmark For
- Budgeting a brand monitoring or market research dashboard.
- Estimating AI research exports before running a large crawl.
- Comparing pay-per-use, subscription, and one-time credit plans.
- Briefing procurement teams on unit economics, not just monthly price.
Limitations
- This is a price-normalization dataset, not a latency, uptime, or success-rate benchmark.
- It compares listed unit prices, not every endpoint, volume tier, discount, contract, or returned-record difference.
- First-party API access and rate limits vary by endpoint and access level. TwexAPI Credit use can also vary by endpoint.
- Values were checked on 2026-08-20; use the linked primary sources for a current purchasing decision.
FAQ
What does this public social data API benchmark measure?
It normalizes public social data access into buyer-friendly units: cost per 1,000 post reads, cost per 1,000 user reads, setup friction, and the break-even point between small experiments and recurring production workloads.
Why use per-1,000 reads instead of monthly plan price?
Monthly price hides the real unit economics. Per-1,000-read math makes pay-per-use, credit bundles, and subscriptions comparable for data exports, monitoring jobs, dashboards, and AI research pipelines.
How often should teams refresh API pricing assumptions?
Refresh assumptions before every purchase decision and at least quarterly. API pricing, endpoint access, and rate limits can change, so buyer pages should show a last-updated date and link to primary sources.
What is the fastest TwexAPI benchmark test?
Create a free account, claim 20,000 Credits, run one Developer Tools sample or one API request, and record success rate, latency, output shape, and effective Credits per returned record.
Primary Sources
Official API prices, caps, and policies are volatile. Use these sources to verify the current state before publishing a buyer memo or switching providers.