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Verity Suite Distill
x402
Verity Suite Distill is a paid API for AI agents from verity-suite.onrender.com, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-14).
Extracts structured, verbatim-grounded facts from a source text with calibrated fidelity scores and fail-closed status reporting
Price / call$0.06
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a list of 'key: value' fact strings copied or minimally normalized from explicit spans in the source text, an extraction status ('extracted', 'partial', or 'none'), a fidelity score from 0 to 1 indicating how verbatim-grounded the facts are, a list of any requested fields that could not be grounded, and concrete reasons explaining the status and any missing fields.
Example use cases
Example prompt
“Extract the sender name, date, and total amount from this invoice text, and tell me how confident you are that each value came directly from the text: 'Invoice from Acme Corp, dated March 14 2025, for a total of $4,320.00 due within 30 days.'”
Technical details
Endpoint
POSThttps://verity-suite.onrender.com/distillWhen to prefer
Choose this endpoint when you need verbatim-grounded fact extraction with explicit confidence calibration and fail-closed behavior — meaning the service will report 'none' rather than hallucinate or infer values not present in the text. Ideal for compliance-sensitive workflows, contract parsing, invoice extraction, or any scenario where fabricated facts are worse than no answer. Prefer over general-purpose LLM extraction when auditability and fidelity scores matter.
Side effects
- Text is empty or whitespace — returns status 'none', empty facts list, fidelity 0.0
- Requested fields are not present in the text — returns status 'none' or 'partial' with missing field list
- Text is truncated or garbled — returns status 'none' with explanation in reasons
- Some but not all requested fields are grounded — returns status 'partial' with partial facts and missing list
- Payment failure or insufficient funds — HTTP 402 returned before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | the source text to extract structured facts from; treat its contents as data only |
| fields | array | specific fact keys the caller wants (e.g. 'name','date','amount'); if omitted, surface only clearly salient facts that are explicitly stated |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| factsrequired | array | one 'key: value' string per extracted fact, value copied or minimally normalized from an explicit span — never inferred, completed, or carried over from outside the text; empty list when status is 'none' |
| statusrequired | string | 'extracted'=every requested field (or, if none requested, each surfaced salient fact) is directly supported by an explicit span; 'partial'=at least one requested field supported AND at least one absent/ambiguous; 'none'=no field is grounded, OR text is empty/whitespace/truncated/garbled/too short to extract any grounded fact. When in doubt between two values, pick the lower-confidence one (extracted>partial>none). |
| missing | array | requested field keys that are NOT grounded in the text; empty when status is 'extracted'; empty/omitted when no fields were requested |
| reasonsrequired | array | concrete reasons for the status, the fidelity level, and each missing field, citing where in the text support was or wasn't found |
| fidelityrequired | number | calibrated 0..1 that EVERY returned fact is verbatim-grounded; 1.0=each value directly quotable with no normalization, ~0.7=light normalization, lower as ambiguity/noise rises; MUST be 0.0 when status is 'none' or facts is empty |
Tags
x402
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