All Services

Analyzes up to 200 snow observation records (snow_depth_cm, snowfall_cm) to produce a duplicate key report and a Base-100 indexed time series for a chosen field.

Analyzes up to 200 snow observation records (snow_depth_cm, snowfall_cm) to produce a duplicate key report and category frequency summary in two independent analytical reports.

Analyzes up to 200 snow observation records to produce a duplicate key report and a grouped numeric summary for snow_depth_cm or snowfall_cm fields.

Applies a numeric interval filter and keyed dataset comparison across two supplied snow observation datasets (snow_depth_cm, snowfall_cm) for up to 200 rows each.

Runs two local analytical reports on supplied snow observation records: a record quality audit and a date-by-category pivot for snow_depth_cm or snowfall_cm fields.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 snow observation records (snow_depth_cm, snowfall_cm), returning two analytical reports.

Returns the current market phase boundary reading for financial instruments using SnowSignals' pay-per-row market-phase analysis

Returns pay-per-record RF telemetry and yield loss oracle data from the SNTL DePIN datalake, filtered by geographic query, settled in USDC on Solana.

Returns RF telemetry anomaly records from the SNTL DePIN yield-loss oracle datalake, paid per-call in USDC via x402.

Returns low-severity RF threat records from the SNTL DePIN RF Telemetry & Yield Loss Oracle datalake, paid per-call in USDC via x402.

Returns pay-per-record RF telemetry and crop yield-loss data from the SNTL decentralized physical infrastructure network (DePIN) oracle datalake, billed at $0.75 USDC per call via x402 on Solana.

Returns pay-per-record RF telemetry and yield-loss phantom data from the SNTL DePIN oracle datalake, settled in USDC on Solana.

Retrieves critical-severity RF telemetry threat records from the SNTL DePIN yield-loss oracle datalake, paid per-call in USDC on Solana.

Computes adjacent-row changes and fills missing values (impressions or engagement_count) for up to 200 social post observation records using local analytical engines.

Runs two analytical reports on social post observation data: adjacent row change detection and keyed dataset comparison for impressions or engagement_count across up to 200 rows.

Analyzes social post observation data (impressions or engagement_count) to produce two local analytical reports: category frequency counts by channel group and adjacent row-to-row change detection, for up to 200 rows.

Analyzes up to 200 rows of social post observation data (impressions, engagement_count) to produce a duplicate key report and fill missing values using zero, mean, or median imputation.

Generates equal-width histogram distributions and fills missing values (impressions or engagement_count) in social post observation records using zero, mean, or median imputation.

Analyzes social post observation data (impressions, engagement_count) by computing a numeric distribution and filtering rows by a numeric interval, returning two analytical reports for up to 200 rows.

Runs three local analytical reports on social post observation data (impressions, engagement_count): a record quality audit, string normalisation, and duplicate key detection, for up to 200 rows.

Returns module and type entrypoints from the npm registry metadata for the socket.io package, supporting integration and upgrade planning.

Counts how often each software component category appears in a batch of issue records, returning frequency distributions for the component field.

Computes grouped numeric summary statistics for software quality metrics (issues opened/closed) across up to 200 records, grouped by component.

Sorts up to 200 software quality records (issues opened/closed per component and date) by a chosen numeric field in ascending or descending order.

Normalises string fields in software quality issue records (component names, dates) across up to 200 rows of issue tracking data.

Computes the statistical correlation between issues_opened and issues_closed across software quality records, grouped by component and date.

Computes a Base-100 indexed series and a two-measure correlation report for supplied soil moisture observation records (moisture_percent and depth_cm) — up to 200 rows, no external data required.

Runs two offline analytical reports on supplied soil moisture observation records: string normalisation and duplicate key detection, for up to 200 rows.

Normalises strings and deduplicates exact rows in supplied soil moisture observation records (moisture_percent, depth_cm) for up to 200 rows, returning 2 analytical reports.

Normalises string fields and computes trailing mean series for soil moisture observation records (moisture_percent, depth_cm) across up to 200 rows.

Computes two-measure correlation between moisture_percent and depth_cm fields, and fills missing values using a chosen strategy, for up to 200 soil moisture observation rows.

Returns a paid, LLM-generated decision procedure for agents to verify Solana x402 payment settlement and fee costs, including inputs, thresholds, and failure modes.

Returns a machine-readable decision procedure for sizing Solana priority fees and compute unit limits for agent payment transactions, with a pass/fail verdict and fee+CU budget tuple.

Returns a paid, LLM-generated decision procedure for evaluating Solana agent finance and TRON TRC-20 asset-mode trust gates before committing x402 agent payments

Returns a paid AI-generated decision procedure for verifying Solana SPL asset models before an agent commits payment, including inputs, thresholds, and failure modes.

Returns a paid LLM-generated decision procedure brief mapping tooling gaps in the Solana x402 ecosystem as of July, intended for AI agent consumption.

Returns a small Solara-branded tip or discovery hint for agents, gated by a $0.01 USDC micropayment via x402.

Analyzes up to 200 solar observation records by ordering rows numerically and computing correlation between irradiance and duration measures.

Normalises string fields and fills missing values (using zero, mean, or median) in solar observation records containing irradiance and duration data.

Returns meme-coin trading signals for a given Solana token mint address, priced at $0.02 USDC per call via x402.

Computes the Poisson standard deviation of solo mining rewards across multiple scenarios and correlates each against a set of benchmark values.

Generates a Poisson standard deviation distribution histogram for solo Bitcoin mining reward scenarios given expected block counts and reward amounts.

Computes the local finite-change elasticity of the Poisson standard deviation for solo Bitcoin mining rewards with respect to a specified input parameter, given a small percentage step change.

Generates a two-dimensional scenario grid computing Poisson standard deviation of solo mining rewards across combinations of expected_blocks and reward_btc values.

Computes a weighted mean of Poisson-distributed solo Bitcoin mining reward standard deviations across multiple mining scenarios

Runs two analytical reports on source attribution data: adjacent row-over-row change detection and keyed dataset comparison, across cited_sources and verified_links fields for up to 200 rows.

Computes a Base-100 indexed time series and a two-measure Pearson-style correlation between cited_sources and verified_links for up to 200 source attribution rows, entirely on supplied data with no external lookups.

Analyzes source attribution records (cited_sources, verified_links) by computing category frequencies and comparing two keyed datasets, returning two independent analytical reports for up to 200 rows.

Runs two local analytical reports on source attribution records — an equal-width histogram and a keyed dataset comparison — for up to 200 rows of cited_sources and verified_links data.

Deduplicates source attribution records by exact row match and computes a trailing mean time series over cited_sources or verified_links metrics for up to 200 rows.

Computes grouped numeric summaries and IQR-based outlier flags for source attribution records (cited_sources, verified_links) across up to 200 rows, producing two analytical reports.

Performs numeric row ordering and daily sum series analysis on source attribution records (cited_sources, verified_links) for up to 200 rows, returning 2 independent analytical reports.

Computes numeric row ordering and trailing mean series for source attribution records (cited_sources, verified_links) across up to 200 rows, returning two local analytical reports.

Runs three offline analytical reports on source attribution data (cited_sources, verified_links): record quality audit, exact row deduplication, and a base-100 index series — all against supplied rows, no external lookups.

Runs three local analytical reports on source attribution records: record quality audit, exact row deduplication, and category frequency counts for cited_sources and verified_links fields.

Runs three local analytical reports (record quality audit, string normalisation, and grouped numeric summary) on up to 200 source attribution rows containing cited_sources and verified_links fields.

Normalises string fields and generates equal-width histograms for cited_sources and verified_links columns in source attribution records, up to 200 rows.

Generates a Base-100 indexed time series and an equal-width histogram for source_count or outlet_count fields in supplied source diversity data (up to 200 rows).

Computes a base-100 indexed time series and a two-measure correlation report for supplied source diversity data (source_count and outlet_count) across up to 200 rows.

Computes category frequencies and fills missing values (zero/mean/median) for source_count and outlet_count fields in up to 200 source diversity records.

Computes a daily sum time series and a secondary-measure weighted mean for supplied source diversity records (source_count, outlet_count) across channel groups.

Runs two local analytical reports on supplied source-diversity data: a duplicate key detector and a keyed row-by-row comparison between two datasets, for up to 200 rows each.

Runs two local analytical reports on supplied source diversity data: a duplicate key detection report and a numeric interval filter, for up to 200 rows of source_count/outlet_count data.

Runs two local analytical reports on supplied source diversity data: a duplicate key report and a secondary-measure weighted mean, for up to 200 rows.

Deduplicates rows and computes a trailing mean series for source diversity metrics (source_count, outlet_count) over up to 200 rows.

Compares two keyed source-diversity datasets (source_count, outlet_count) and fills missing values, producing 2 analytical reports for up to 200 rows.

Computes numeric distribution statistics and row ordering for source_count and outlet_count fields across supplied source diversity records, delivering two analytical reports per call.

Audits record quality, normalises strings, and fills missing values for source diversity data (source_count, outlet_count) across up to 200 rows, producing 3 independent analytical reports.

Groups and distinguishes repeated source IDs within a single pack revision, differentiating identical from conflicting typed source projections in offline nonpersonal metadata.

Binds declared pack output entries to source IDs, revisions, and digests within an exact pack frame for offline provenance tracing without signature verification.

Compares source metadata projections across two pinned pack revisions, reporting changes in content digest, byte size, media type, and declared access labels.

Filters and validates source metadata by pack ID, revision, and allowed media/access declarations within defined scope boundaries.

Speech-to-text transcription endpoint accepting a prompt/audio input and returning transcribed text, paid per-call via x402 USDC on Base

Executes a cross-chain routing prompt via a pay-per-call x402 primitive, returning a structured result and receipt ID

Sets or enforces a per-call USDC spend cap for pay-per-call x402 execution primitives on the Sovereign Engine platform

Executes a prompt-driven revenue dashboard query in an isolated sandbox, returning structured data with a payment receipt, billed at $0.01 USDC per call via x402.

Stores data or execution results to Cloudflare R2 object storage via a pay-per-call x402 primitive, returning a receipt ID on success.

Computes a Base-100 indexed series and a secondary-measure weighted mean for specification traceability records containing mapped and total requirements counts.

Computes category frequency counts and numeric row ordering for specification traceability records with mapped_requirements and total_requirements fields, returning two analytical reports for up to 200 rows.

Analyzes specification traceability records by computing category frequencies across document groups and calculating the correlation between mapped_requirements and total_requirements for up to 200 rows.

Deduplicates exact duplicate rows and produces a date-by-category pivot report for specification traceability records containing mapped and total requirements fields.

Computes a grouped numeric summary and a two-measure correlation report for specification traceability records containing mapped_requirements and total_requirements fields.

Runs two local analytical reports on specification traceability data: a record quality audit and a category frequency analysis over mapped vs. total requirements, for up to 200 rows.

Audits record quality, normalises strings, and fills missing values in specification traceability data (mapped_requirements, total_requirements) for up to 200 rows, producing 3 independent analytical reports.

Computes trailing mean time series and adjacent row change analysis for specification traceability data (mapped_requirements, total_requirements) across up to 200 rows.

Validates spectrometry measurements against caller-supplied quantity/unit bounds within a fixed dataset/subject/run/method/revision frame, treating null and censored values as unknown rather than zero.

Compares duplicate owner, subject, and revision declarations across scientific spectrometry frame pins to detect identity conflicts in public or synthetic spectrum/calibration metadata.

Cross-references and audits one-to-one alias mappings across typed spectrometry record identifiers to detect mismatches, without certifying ownership or authenticity.

Validates quantity/unit compatibility and flags conflicting unit labels within the same dataset/subject/run/method/revision/quantity frame for spectrometry records, without performing numerical conversion.

Returns a JSON heartbeat confirming the SpendTheBits x402 payment endpoint is live, for $0.01 USDC per call.

Returns the count of ERC-8004 registered agents or smart accounts on the SperaxOS DeFi platform

Retrieves DeFi protocol intelligence data via a pay-per-request HTTP HEAD endpoint using USDC micropayments on Base

Classifies on-chain DeFi events using AI to identify event types, patterns, and significance for a given blockchain transaction or log entry

Returns AI-powered intelligence metadata about live YouTube activity, payable per-request via USDC on Base using the x402 protocol

Checks the current operational status of the SperaxOS x402 DeFi intelligence API service via a lightweight HEAD request

Returns AI-powered climate anomaly intelligence data, payable per-request via x402 USDC micropayment on Base

Returns AI-powered DeFi intelligence data for the Plutus protocol on the Sperax ecosystem, paid per-request via USDC on Base using x402.

Lists all existing Flux Pro 1.1 text-to-image generation tasks via the PaySponge x402 proxy

Lists all pending or completed Flux Dev text-to-image generation tasks via the Sponge x402 payment proxy for Freepik

Lists all pending or completed text-to-image generation tasks for the Seedream model via the Freepik x402 payment proxy