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Fact Check Workflow — String Normalisation + Base-100 Series
x402
Fact Check Workflow — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Performs string normalisation and base-100 index series computation on fact-check workflow records (claims reviewed, references collected) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied fact check workflow records (claims_reviewed, references_collected). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns 2 analytical reports: one covering string normalisation of text fields (e.g. channel_group) and one providing a base-100 index series for the selected numeric field (claims_reviewed or references_collected) anchored to the specified base row. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Newsroom claims volume trend analysis
“I have weekly fact-check data across two editorial channels with claims_reviewed counts for the last 6 months — can you normalise the labels and build a base-100 index series starting from week 1 so I can compare growth trends across channel groups?”
References collected baseline comparison
“Run a base-100 series on my references_collected field across these 50 fact-check workflow rows, using row index 0 as the baseline, and normalise the channel_group strings — I want two reports back.”
Multi-channel fact-check audit
“I need to audit our fact-check workflow records for Q3 — can you normalise the channel group names and index the claims_reviewed numbers against our starting week so I can see how each group has scaled relative to the baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, local analytical processing of fact-check workflow records specifically requiring both string normalisation and base-100 index series computation in a single call. It is well-suited for newsroom or editorial analytics pipelines where no live data lookup or external action is needed and cost must be kept low ($0.01 for 2 reports). Prefer it over general-purpose analytics APIs when your data is already collected and you need deterministic, reproducible index series anchored to a specific baseline row.
Side effects
- Input array below minItems:1 — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty string — schema validation failure
- base_index out of range (0–199) or exceeds actual row count — index error
- Numeric field values outside ±1,000,000,000,000 range — rejection
- More than 200 rows submitted — maxItems exceeded error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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